{"results":[{"id":"ss_2d1433be39aa2118a0ce5f5b96e74c2559834cdc","title":"Adaptive Control for Singularly Perturbed Systems","authors":[{"name":"Kameron Eves"},{"name":"John Valasek"}],"abstract":"Singularly perturbed systems are a class of mathematical systems that are not well approximated by their limits and can be used to model plants with multiple fast and slow states. Multiple-timescale systems are very common in engineering applications, but adaptive control can be sensitive to timescale effects. Recently a method called [K]control of Adaptive Multiple-timescale Systems (KAMS) has shown improved performance and increased robustness for singularly perturbed systems, but it has only been studied on systems using adaptive control for the slow states. This article extends KAMS to the general case when adaptive control is used to stabilize both the slow and fast states simultaneously. This causes complex interactions between the fast state reference model and the manifold to which the fast states converge. It is proven that under certain conditions the system still converges to the reference model despite these complex interactions. This method is demonstrated on a nonlinear, nonstandard, numerical example.","source":"Semantic Scholar","year":2024,"language":"en","subjects":null,"doi":"10.1109/OJCSYS.2023.3322636","url":"https://www.semanticscholar.org/paper/2d1433be39aa2118a0ce5f5b96e74c2559834cdc","pdf_url":"https://ieeexplore.ieee.org/ielx7/9552933/9712344/10273579.pdf","is_open_access":true,"citations":110,"published_at":"","score":71.3},{"id":"doaj_10.1177/00202940251323760","title":"Optimal allocation and sizing of distributed generation for improvement of distribution feeder loss and voltage profile in the distribution network using genetic algorithm","authors":[{"name":"Milkias Berhanu Tuka"},{"name":"Seid Endris Ali"}],"abstract":"The increasing demand for electric power, coupled with rapid urbanization, necessitates a reliable and high-quality electricity supply to meet consumer expectations. However, existing passive distribution systems are inadequate to address the escalating power requirements, resulting in challenges such as increased power losses and suboptimal voltage profiles. In the base case scenario, the total active and reactive power losses were substantial, and many buses exhibited voltage magnitudes that fell outside acceptable limits. This study investigates the optimal placement and sizing of distributed generation (DG) resources to improve the performance of distribution feeders. A multi-objective optimization framework, utilizing a Genetic Algorithm (GA), was developed to minimize power losses and enhance voltage profiles. Load flow analysis was conducted using the Backward/Forward Sweep (BFS) method, allowing for precise evaluation of the distribution feeder under various DG configurations. Consequently, the study successfully enhanced the system through optimal DG allocation. Additionally, a comparative analysis was conducted to assess the performance of the proposed GA algorithm against other optimization techniques. The results indicate that, in nearly all cases, the GA method outperforms PSO by reducing system power losses and improving the voltage profile more effectively.","source":"DOAJ","year":2026,"language":"","subjects":["Control engineering systems. Automatic machinery (General)","Technology (General)"],"doi":"10.1177/00202940251323760","url":"https://doi.org/10.1177/00202940251323760","is_open_access":true,"published_at":"","score":70},{"id":"ss_f7a552d9c06aa4890c8f7825c66a2a2cd2fc92dd","title":"Memory-Based Event-Triggered Fault-Tolerant Consensus Control of Nonlinear Multi-Agent Systems and Its Applications","authors":[{"name":"Junyi Wang"},{"name":"Ying Zheng"},{"name":"Jinliang Ding"},{"name":"Huaguang Zhang"},{"name":"Jiayue Sun"}],"abstract":"This article is concerned with the memory-based event-triggered leader-following dissipative fault-tolerant consensus (LFDFTC) problem for the nonlinear multi-agent systems (NMASs) with semi-Markov switching topologies subject to the generally uncertain semi-Markov (GUSM) jumping process. Unlike the existing event-triggered (ET) consensus results, the dynamic memory event-triggered mechanism (DMETM) and memory-based distributed fault-tolerant (FT) controllers are designed to reduce the ET times. By constructing a general mode-dependent Lyapunov-Krasovskii functional (LKF) and strictly $(\\bf {\\mathcal {R,Q,T}})-\\boldsymbol {\\gamma }$ dissipative analysis, the dissipative FT consensus conditions of NMASs are derived in this paper. Finally, three actual physical systems are utilized to verify the validity of the proposed method. Note to Practitioners—Owing to the complexity of engineering environment, the consensus control issue of NMASs has attracted widespread attention. Nowadays, the consensus control of NMASs is generally utilized in diverse fields, such as multi-vehicle coordination, smart grids, and unmanned aerial vehicle formation. However, for the electronic device in practical applications, the channel bandwidth is limited due to power and energy constraints, and it is difficult for the fixed communication topologies and traditional periodic sampled-data control method to cope with these unexpected situations. Therefore, the LFDFTC issue for the NMASs with GUSM switching topologies is investigated by adopting DMETM and memory-based distributed FT controllers in this paper. In addition, the proposed FT consensus control methods with prescribed dissipative performance are applied to multiple vehicles time-invariant formation, Chua’s circuits synchronization, and multiple manipulators consensus.","source":"Semantic Scholar","year":2025,"language":"en","subjects":["Computer Science"],"doi":"10.1109/TASE.2024.3474968","url":"https://www.semanticscholar.org/paper/f7a552d9c06aa4890c8f7825c66a2a2cd2fc92dd","is_open_access":true,"citations":16,"published_at":"","score":69.47999999999999},{"id":"ss_6fb11f5a5e414ddf443eb941cf8d799e04f80ea1","title":"Distributed Output Feedback Prescribed Performance Control for High-Order Nonlinear Multi-Agent Systems","authors":[{"name":"Zhijie Li"},{"name":"Xiaofei Wang"},{"name":"Hao Guo"},{"name":"Lele Xi"},{"name":"Guopin Liu"},{"name":"Yafeng Li"},{"name":"Changchun Hua"}],"abstract":"This paper presents an output feedback prescribed performance control method for a class of high-order nonlinear uncertain multiagent systems. General prescribed performance consensus control for multiagent systems requires that the initial consensus error is constraining within a boundary value. Unlike existing works, the conservative condition of prescribed performance consensus control for multiagent systems is relaxed as the consensus error is independent of the initial state. In this condition, we employ a control scheme with improved prescribed performance to constraint the transient behavior of the system. By designing reduce order dynamic gain K-filter, the state variables of the systems are reconstructed. Based on the baskstepping method and dynamic surface control technology, we introduce an innovative prescribed performance event-triggered approach aimed at ensuring prescribed performance levels for both transient and steady-state aspects of consensus control and reducing the communication bandwidth resource. Furthermore, we rigorously demonstrated through the Lyapunov function that all agents can achieve consensus with the leader driven by the controller. The simulation results have demonstrated the effective tracking performance of the developed control approach. Finally, the effectiveness and reliability of the proposed control strategy are verified through the successful execution of multi-QUAVs formation encirclement control.Note to Practitioners—This paper considers output feedback prescribed performance consensus control problem of multiagent systems, which can be applied to some practical systems, e.g., low-altitude formation flight of autonomous aerial vehicle with specified transient performance, multi underwater robot for oil field line-cruising, etc. Furthermore, in harsh working environments, the states of agent devices are difficult to measure or cannot be measured. Hence the control objective in these applications can be transformed into output feedback prescribed performance consensus control problem of multiagent systems. Besides, in military applications, high-speed aircraft need to fly at a certain height above the ground in order to avoid radar detection, which poses strong limitations on the position of the aircraft. This challenging issue can be well addressed through prescribed performance control. Compared with the existing results, this paper proposed a novel prescribed performance control strategy for multiagent systems with unrestricted initial state. It should be noted that in practical applications, communication bandwidth resources are extremely limited, so we propose event triggered control to effectively alleviate the communication pressure of multiagent system cooperative control. The nonlinear high-order system model studied in this article can be converted into a Lagrangian system, multi-complexity manipulator system and an autonomous aerial vehicle system, which has strong engineering practical significance.","source":"Semantic Scholar","year":2025,"language":"en","subjects":["Computer Science"],"doi":"10.1109/TASE.2025.3544306","url":"https://www.semanticscholar.org/paper/6fb11f5a5e414ddf443eb941cf8d799e04f80ea1","is_open_access":true,"citations":15,"published_at":"","score":69.45},{"id":"ss_f4ba456bcf561466e0cd011865838fbb0e6917ee","title":"Low-Complexity Decentralized Output-Feedback Fault-Tolerant Control of General Unknown Interconnected Nonlinear Systems","authors":[{"name":"Jin-Zi Yang"},{"name":"Jinxi Zhang"},{"name":"Tianyou Chai"}],"abstract":"This paper is concentrated on the problem of decentralized output-feedback control of interconnected strict-feedback systems with actuator failures. It is focused on the cases where the virtual control coefficients of the plant are unknown; the global boundedness, matching conditions or global Lipschitz conditions of the interconnections are not assumed; the control algorithm is as simple as possible. They render the existing decentralized output-feedback fault-tolerant control designs infeasible. To address the problem, a low-complexity decentralized robust prescribed performance control approach based on a linear state transformation and an input-driven filter is put forward in this paper. It achieves the system outputs to track the corresponding references with the preassigned speed and accuracy. It is also inherently robust against the unknown system dynamics, the actuator failures, and the disturbances, thus without parameter estimation, function approximation, derivative computation, command filtering, fault detection, fault isolation or fault estimation. Finally, a comparative simulation on two inverted pendulums linked by a spring is conducted to demonstrate the developed control design. Note to Practitioners—Many complex systems, such as power systems, aerospace systems, and chemical systems, can be modeled as interconnected systems. Moreover, due to the increasing scale and complexity of engineering systems, actuator failures are becoming more likely to occur during system operation. On the other hand, both the transient and steady-state tracking performance of the systems are required to be preassigned in practical scenarios, e.g., missile interception. Existing approaches to compensate for the actuator failures guarantee only the boundedness of the tracking error under nonparametric uncertainties in the system model. This paper presents a decentralized robust prescribed performance control approach. It is inherently robust to the system nonlinearities, the actuator failures, and the disturbances. It exhibits lower costs in computation, higher efficiency in design, and is more user-friendly in implementation. It achieves trajectory tracking with preassigned rate and accuracy, despite the actuator failures. Extension of the approach to multi-agent systems with actuator failures is an interesting topic for future investigations.","source":"Semantic Scholar","year":2025,"language":"en","subjects":["Computer Science"],"doi":"10.1109/TASE.2024.3432131","url":"https://www.semanticscholar.org/paper/f4ba456bcf561466e0cd011865838fbb0e6917ee","is_open_access":true,"citations":8,"published_at":"","score":69.24000000000001},{"id":"ss_ef2e16620696f4ebeef538c04e69c7085b194a0d","title":"Learning-Based Asynchronous Sliding Mode Control for Switching Systems With Partly Unknown Probabilities","authors":[{"name":"Jun Cheng"},{"name":"Tianfeng Tang"},{"name":"Huaicheng Yan"},{"name":"Ju H. Park"},{"name":"Michael V. Basin"}],"abstract":"This study focuses on the learning-based asynchronous sliding mode control for switching systems, operating under a general switching rule and partially unknown probability information. A novel switching rule is constructed, governed by a joint probability distribution dependent on the current mode and its duration time, thereby overcoming the limitations of traditional Markov/semi-Markov models in terms of the difficulty in obtaining transition probabilities and computational complexity. Departing from traditional geometric distribution assumption, the proposed method follows more general duration distribution. Acknowledging the challenge of obtaining complete probability information in practical scenarios, partially unknown probability information is considered. In addition, a learning-based asynchronous sliding mode control law is developed, aimed at guiding state signals onto preset sliding regions and effectively reducing chattering induced by mode switchings. Finally, the efficacy and superiority of the developed theories are verified through both numerical and practical examples. Note to Practitioners—With the rapid development of networked control technologies, designing switching rules for switching systems and suppressing chattering in sliding mode control remain key challenge. In practical engineering systems, such as power systems, robotic control, and networked systems, the duration of different modes is often influenced by external disturbances, equipment characteristics, and load variations, making it difficult to model simply as a geometric distribution. Meanwhile, traditional Markov/semi-Markov models rely on extensive statistical data, and their transition probabilities are challenging to obtain accurately in practice. To address these issues, a joint probability distribution function based on the current mode and its duration, is adopted to accurately reflect the duration characteristics of the system in different states while reducing computational burden. The duration distribution, which depends on the current mode, is characterized by a general distribution, making the model more applicable to complex engineering systems. Furthermore, in industrial applications, sliding mode control often suffers from chattering issues caused by system modes, asynchronous double switching, discontinuities in the sign function, and other factors. As considered in this paper, a novel learning-based asynchronous sliding mode control method, incorporating emission probability and iterative learning, is proposed to alleviate chattering in sliding mode control.","source":"Semantic Scholar","year":2025,"language":"en","subjects":["Computer Science"],"doi":"10.1109/TASE.2025.3569748","url":"https://www.semanticscholar.org/paper/ef2e16620696f4ebeef538c04e69c7085b194a0d","is_open_access":true,"citations":5,"published_at":"","score":69.15},{"id":"doaj_10.1080/21642583.2025.2467076","title":"The 3D tooth model segmentation method based on GAC+PointMLP network","authors":[{"name":"Jianjun Chen"},{"name":"Liyuan Zheng"},{"name":"Huilai Zou"},{"name":"Jiafa Mao"},{"name":"Weiguo Sheng"}],"abstract":"Precise segmentation of individual teeth from digital three-dimensional (3D) tooth models is critical in computer-assisted orthodontic surgery. This study explores the application of Point Multi-Layer Perceptron (PointMLP) in processing 3D tooth models and introduces an innovative integration of the Graph Attentional Convolution (GAC) Layer with a graph attention mechanism. By incorporating the GAC Layer into PointMLP, the model can focus on key local regions in the 3D tooth model and dynamically adjust the attention applied to these areas. This enhanced attention mechanism allows the model to better capture subtle surface structures, facilitating the accurate extraction of valuable local features. Compared to other traditional segmentation algorithms, the proposed method shows improvements of 1.1, 2.04, 1.06, 2.2, and 1.8 percentage points in Overall Accuracy (OA), Sensitivity (SEN), Positive Predictive Value (PPV), and Intersection Over Union (IoU), respectively. At the same number of training epochs, our method outperforms both GAC and PointMLP in segmentation performance.","source":"DOAJ","year":2025,"language":"","subjects":["Control engineering systems. Automatic machinery (General)","Systems engineering"],"doi":"10.1080/21642583.2025.2467076","url":"https://www.tandfonline.com/doi/10.1080/21642583.2025.2467076","is_open_access":true,"published_at":"","score":69},{"id":"ss_2175dcd89618e57ef7aa09e207ae82957a8b5acb","title":"Use of a DJI Tello Drone as an Educational Platform in the Field of Control Engineering","authors":[{"name":"G. Ghazi"},{"name":"Julien Voyer"}],"abstract":"This paper presents a hands-on pedagogical approach using a DJI Tello drone as an interactive teaching platform in the field of automatic control engineering. The DJI Tello is a small commercial quadcopter drone and includes a software development kit (SDK) that allows developers to control the Tello using various programming languages, including Python. The drone is also equipped with a large number of sensors that can be used in real-time to collect data and analyze how changes in control inputs such as thrust, pitch, roll, and yaw affect its flight path and stability. These features make the Tello a good teaching tool for demonstrating control concepts in an attractive and practical way. Two examples of pedagogical applications are presented in this paper. The first example aims to illustrate in practice how system identification can be used to create a mathematical model of the DJI Tello drone using transfer functions. The second example aims to illustrate how to design a Proportional-Integral (PI) controller and validate it after its implementation on the DJI Tello drone. Through these teaching demonstrations, it was possible to enhance cognitive learning while providing students with a better understanding of the fundamental concepts of modeling and control. It was also observed that even though the students had no background in aeronautics, using an atypical system such as a drone aroused their curiosity, encouraging them to participate, thus making the in-class demonstrations more dynamic.","source":"Semantic Scholar","year":2024,"language":"en","subjects":null,"doi":"10.24908/pceea.2023.17061","url":"https://www.semanticscholar.org/paper/2175dcd89618e57ef7aa09e207ae82957a8b5acb","pdf_url":"https://doi.org/10.24908/pceea.2023.17061","is_open_access":true,"citations":2,"published_at":"","score":68.06},{"id":"doaj_Research+and+Perspectives+on+High-Power-Density+Electrification+Technologies+for+Transportation+Equipment","title":"Research and Perspectives on High-Power-Density Electrification Technologies for Transportation Equipment","authors":[{"name":"FENG Jianghua"},{"name":"TAN Bo"},{"name":"DOU Zechun"},{"name":"XIONG Yan"}],"abstract":"With the continuous advancement of China's \"dual carbon\" goals and the ongoing optimization of the energy mix, the electrification of transportation equipment, as a low-carbon and environmentally-friendly approach, has become an important development trend in the transportation industry. This paper presents the exploration in high-power-density electrification technologies for transportation equipment, focusing on those in the chain-type key technology routes encompassing devices, components, equipment, systems and architectures. Taking products supplied by CRRC Zhuzhou Institute Co., Ltd. as an case study, detailed investigations were made into five key technologies for high-power-density design: high-frequency converters, customized devices, silicon-based equipment, structural integration, and diversified networking, and three high-power-density generic technologies: thermal management, electromagnetic compatibility, and reliability, highlighting their key roles in improving the performance, efficiency, and reliability of transportation equipment. The study summarizes the current research status concerning the development of transportation equipment towards higher power, lighter weight, and smaller size. For future development in high-power-density electrification technologies, this paper suggests a focus on continuous innovation and development in four areas: the innovation chain, intelligent systems, new power semiconductor device technologies, and safety. The research outcomes provide strong support for the green transformation and sustainable development of the transportation industry.","source":"DOAJ","year":2024,"language":"","subjects":["Control engineering systems. Automatic machinery (General)","Technology"],"url":"http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2024.05.001","is_open_access":true,"published_at":"","score":68},{"id":"doaj_10.13889/j.issn.2096-5427.2024.02.011","title":"Four-wheel Steering Control Algorithm of Long Wheelbase Vehicles","authors":[{"name":"ZHONG Hanwen"},{"name":"XIAO Lei"},{"name":"CHEN Wenguang"},{"name":"BU Jiling"},{"name":"LIU Biao"}],"abstract":"Long wheelbase design of vehicle can effectively increase the standing area without increasing the body length, thus increasing the passenger capacity. Today, with the development of urbanization, the long wheelbase vehicle design has become a trend, but this poses new challenges to the low-speed trafficability and high-speed stability of vehicles. This paper takes the long wheelbase commercial vehicle as the research object. Based on the vehicle dynamics and suspension design theory, the author first designed key parameters of long wheelbase vehicle and built an 18 degrees of freedom (DOF) dynamics simulation model for the vehicle; then designed the four-wheel steering (4WS) control algorithm according to the design parameters of the vehicle, for achieving the control target that the side slip angle tends to zero; and finally researched the influence of front-wheel steering (FWS) control and four-wheel steering control on the dynamic performance of the vehicle under the steady-state circumferential conditions with different turning radiuses and steering wheel angle pulse conditions with different speeds. The simulation results show that, under the steady-state circumferential turning condition with a low-speed turning radius of R15, the four-wheel steering design reduces the passing space from 4.6 m to 3.9 m, effectively improving the tracking ability of the front and rear axles of the vehicle and enhancing the trafficability and safety of the vehicle, and under the pulse condition with a maximum speed of 100 km/h, reduces the peak lateral acceleration from 4 m/s2 to 1.5 m/s2 and the peak yaw rate from 11°/s to 3°/s. Therefore, under high-speed steering wheel angle pulse conditions, the four-wheel steering design can effectively reduce the dynamic indicators of the vehicle, such as side slip angle, lateral acceleration and yaw rate, and improve the safety, stability and comfort of the vehicle at high speed.","source":"DOAJ","year":2024,"language":"","subjects":["Control engineering systems. Automatic machinery (General)","Technology"],"doi":"10.13889/j.issn.2096-5427.2024.02.011","url":"https://ctet.csrzic.com/html/202402011/index.html","is_open_access":true,"published_at":"","score":68},{"id":"doaj_Specialized+Large+Language+Model+for+Standardization+of+Locomotive+Maintenance+Data","title":"Specialized Large Language Model for Standardization of Locomotive Maintenance Data","authors":[{"name":"CHEN Ao"},{"name":"LI Chen"},{"name":"YAN Jiayun"},{"name":"PENG Liantie"},{"name":"TIAN Ye"},{"name":"LIU Leixinyuan"}],"abstract":"Standardization is one of the key steps to analyze locomotive overhaul data with a focus on reliability-centered maintenance (RCM). However, traditional manual methods encounter challenges such as small sample sizes, non-standardized data formats, analytical complexities, and high labour costs, hindering the achievement of data standardization. Large language models (LLM), featuring powerful performance in natural language processing comprehension and handling complex tasks, have made great academic and industrial progress in recent years. This study initially investigated the application performance of LLMs in information extraction from locomotive overhaul data, with the following three reveals, as the universal information extraction (UIE) LLM is suitable for information extraction in the field of locomotive overhaul; expanding the size of locomotive data helps improve the UIE performance in information extraction from locomotive overhaul data; balancing the types of fault labels does not notably help improve this performance. Subsequent explorations concentrated on difficulties in data annotation. The script writing method was utilized for automated annotation of data, and ChatGLM was leveraged to standardize locomotive overhaul data, yielding Bleu-4, Rouge-1, Rouge-2, and Rouge-L metrics of 86.87%, 89.60%, 87.54%, and 94.26%, respectively, in alignment with the requirements of engineering applications. Further developments introduced an auxiliary data standardization pre-processing tool to streamline the standardization process by encapsulating the LLM.","source":"DOAJ","year":2024,"language":"","subjects":["Control engineering systems. Automatic machinery (General)","Technology"],"url":"http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2024.03.200","is_open_access":true,"published_at":"","score":68},{"id":"ss_894f5e6410eacedb73655a5364a8994a674065c1","title":"Universal Automatic Spraying System Design","authors":[{"name":"Kaijun Luo"},{"name":"Xun Qiao"}],"abstract":"—Automatic spraying system is mainly used for automatic spraying operation in the field of industrial manufacturing, painting and surface coating. This system realizes the automatic application of paint, paint or other surface coating materials through the use of mechanical devices and control systems. Its main structure can be divided into: painting machinery, paint supply system, control system. These components work together to achieve an efficient, consistent and safe painting process. Different types of automatic spraying systems may have different structures and components, depending on their specific applications and requirements. With the improvement of environmental protection and quality requirements, the automatic spraying system is also put forward higher and higher requirements. In view of the low efficiency of production and the great harm of manual spraying to human body, a general automatic spraying system is designed in this paper. the device has five degrees of freedom, flexible operation and two degrees of freedom control of the wrist. The advantage of directly improving the quality and effect of spray painting can significantly improve production efficiency and reduce labor costs.","source":"Semantic Scholar","year":2024,"language":"en","subjects":null,"doi":"10.4108/eai.24-11-2023.2343360","url":"https://www.semanticscholar.org/paper/894f5e6410eacedb73655a5364a8994a674065c1","pdf_url":"http://eudl.eu/pdf/10.4108/eai.24-11-2023.2343360","is_open_access":true,"published_at":"","score":68},{"id":"ss_882c6e1df9815c3af97f7b85629145f383df277c","title":"Agricultural machinery photoelectric automatic navigation control system based on back propagation neural network","authors":[{"name":"Yerong Sun"},{"name":"Kechuan Yi"}],"abstract":"So as to study the influence of speed factors on the stability of tractor automatic navigation system, combined with neural network control theory, the author proposed a dual-objective joint sliding mode control method based on lateral position deviation and heading angle deviation, using back propagation neural network to establish two-wheel tractor-path dynamics model and straight-line path tracking deviation model, the overall system simulation was carried out by using Matlab/Simulink, and the reliability of the control method was verified. The experimental results showed: when the tractor was tracked with the automatic control of linear path under the condition of the variable speed, the maximum deviation of the lateral position deviation was 12.7cm, and the average absolute deviation was kept within 4.88cm; the maximum deviation of the heading angle deviation was 5°, and the average absolute deviation was kept within 2°; the maximum value of the actual rotation angle was 3.13°, and the standard deviation of the fluctuation was within 0.84°. Under the condition of constant speed and variable speed, using the joint sliding mode control method designed by the author, the dual-objective joint control of lateral position deviation and heading angle deviation could be realized, the controlled overshoot was small, the controlled deviation was small after reaching a stable state, and the adaptability to speed factors was strong, which basically could meet the accuracy requirements of farmland operations.","source":"Semantic Scholar","year":2023,"language":"en","subjects":null,"doi":"10.4081/jae.2023.1530","url":"https://www.semanticscholar.org/paper/882c6e1df9815c3af97f7b85629145f383df277c","pdf_url":"https://www.agroengineering.org/index.php/jae/article/download/1530/1092","is_open_access":true,"citations":2,"published_at":"","score":67.06},{"id":"ss_76ff59ee33b1575e00050b6076c92201c0b183bb","title":"Detection and classification of failures as an emergent behavior in a machinery system modelled as a system of systems","authors":[{"name":"R. Sacile"},{"name":"M. Sallak"},{"name":"E. Zero"}],"abstract":"In Industry 4.0 context predictive maintenance is a hot topic with several challenges that can be investigated by a system of systems engineering approach where the emergent behaviour can be related to possible system failures. The Internet of Things (IoT) can be also used to monitor and control the different system components. This work proposes a simple approach to detect, monitor, and control emergent behavior by IoT sensors. Starting from the raw data which were daily extracted from sensors, an analysis of the collected signals is performed to help decision-making concerning its maintenance. In the case study related to a door system in a bus, the proposed method can recognize the different damage states analysing the input parameters: temperature, pressure, and humidity of door systems. Some recent reliability performance indicators are used to evaluate the damage classification.","source":"Semantic Scholar","year":2023,"language":"en","subjects":["Computer Science"],"doi":"10.1109/SoSE59841.2023.10178509","url":"https://www.semanticscholar.org/paper/76ff59ee33b1575e00050b6076c92201c0b183bb","is_open_access":true,"citations":2,"published_at":"","score":67.06},{"id":"doaj_Robust+Resilient+Adaptive+Control+of+Aero-engine+Based+on+Parametric+Perturbation+Model","title":"Robust Resilient Adaptive Control of Aero-engine Based on Parametric Perturbation Model","authors":[{"name":"MA Jing"},{"name":"CAO Du"},{"name":"MA Lili"}],"abstract":"Aero-engine´s characteristics vary with flight conditions and operating states. In complex operating environments, both model uncertainty and controller parameter variation exist simultaneously, which greatly affect the control performance in the whole flight envelope. Therefore, a robust elastic adaptive control method based on parameter perturbation model is proposed in this paper. The structural model of aero-engine parameter perturbation is established. Then, aiming at the uncertainty of the controlled object model and the perturbation of controller gain, the robust resilient adaptive control law is designed when the gain perturbation is bounded but the upper bound is unknown by using Lyapunov stability theory and linear matrix inequality constraints, and the controller design problem is transformed into a feasible solution problem of linear matrix inequalities. The controller design only depends on the existence of the solution matrix of linear matrix inequalities, and the stability of the algorithm is proved. On this basis, the control simulation of different operating states of the engine in the flight envelope is carried out. The simulation results show that the adjustment time is less than 1.8 s and the overshoot is less than 5%, which indicates good stability and control performance of the designed controller.","source":"DOAJ","year":2023,"language":"","subjects":["Control engineering systems. Automatic machinery (General)","Technology"],"url":"http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2023.02.001","is_open_access":true,"published_at":"","score":67},{"id":"ss_2f4019950c181417f696dd6086a81b7438d8767d","title":"Application of Mechanical Electronic Engineering in Agricultural Machinery Integration Control Engineering","authors":[{"name":"Shaomin Lu"},{"name":"Yiqing Huang"},{"name":"Siyu Hou"},{"name":"Wei Li"}],"abstract":": In recent years, with the rapid development of new information technology, western countries have begun to implement precision agriculture, combining agricultural production with information technology, and agricultural informatization has entered a new era of development. China has also introduced a set of policies to promote the development of agricultural production and agricultural machinery service management in the direction of intelligence, digitization, and scientificity. This article explores the construction of an intelligent agricultural machinery comprehensive service system based on the 3S architecture. This article aims to study the establishment of a smart agricultural machinery integrated service system based on the 3S framework. The experimental results show that when the concurrency is 100, the average response time is 236ms, the maximum response time is 698ms, and the minimum response time is 178ms. Therefore, this system has improved the agricultural machinery information service management and decision support system, and strengthened the macro regulation and micro guidance of modern agricultural production.","source":"Semantic Scholar","year":2023,"language":"en","subjects":null,"doi":"10.25236/ajets.2023.060910","url":"https://www.semanticscholar.org/paper/2f4019950c181417f696dd6086a81b7438d8767d","pdf_url":"http://francis-press.com/uploads/papers/KbeLIQ3xPFNvk2vnHiM5xrkN2m3zWswIbPb383bS.pdf","is_open_access":true,"published_at":"","score":67},{"id":"ss_7af0e91057eee6ffbd382ad2caf8bd7671ba787e","title":"Automatic protocol reverse engineering for industrial control systems with dynamic taint analysis","authors":[{"name":"Rongkuan Ma"},{"name":"Hao Zheng"},{"name":"Jingyi Wang"},{"name":"Mufeng Wang"},{"name":"Qiang Wei"},{"name":"Qingxian Wang"}],"abstract":"Proprietary (or semi-proprietary) protocols are widely adopted in industrial control systems (ICSs). Inferring protocol format by reverse engineering is important for many network security applications, e.g., program tests and intrusion detection. Conventional protocol reverse engineering methods have been proposed which are considered time-consuming, tedious, and error-prone. Recently, automatical protocol reverse engineering methods have been proposed which are, however, neither effective in handling binary-based ICS protocols based on network traffic analysis nor accurate in extracting protocol fields from protocol implementations. In this paper, we present a framework called the industrial control system protocol reverse engineering framework (ICSPRF) that aims to extract ICS protocol fields with high accuracy. ICSPRF is based on the key insight that an individual field in a message is typically handled in the same execution context, e.g., basic block (BBL) group. As a result, by monitoring program execution, we can collect the tainted data information processed in every BBL group in the execution trace and cluster it to derive the protocol format. We evaluate our approach with six open-source ICS protocol implementations. The results show that ICSPRF can identify individual protocol fields with high accuracy (on average a 94.3% match ratio). ICSPRF also has a low coarse-grained and overly fine-grained match ratio. For the same metric, ICSPRF is more accurate than AutoFormat (88.5% for all evaluated protocols and 80.0% for binary-based protocols).","source":"Semantic Scholar","year":2022,"language":"en","subjects":["Computer Science"],"doi":"10.1631/FITEE.2000709","url":"https://www.semanticscholar.org/paper/7af0e91057eee6ffbd382ad2caf8bd7671ba787e","is_open_access":true,"citations":11,"published_at":"","score":66.33},{"id":"ss_827eda304dc1e2012a7766915d6114c5718e0f52","title":"A REVIEW STUDY ON INSTRUMENTATION AND CONTROL ENGINEERING","authors":[{"name":"Dr. Osama Mohammed Elmardi Suleiman Khayal"}],"abstract":"In the present review, instrumentation and control engineering (ICE) is defined as a branch of engineering that studies the measurement and control of process variables, and the design and implementation of systems that incorporate them. Instrumentation and control engineering (ICE) combines two branches of engineering. Instrumentation engineering is the science of the measurement and control of process variables within a production or manufacturing area. Meanwhile, control engineering, also called control systems engineering, is the engineering discipline that applies control theory to design systems with desired behaviors. Control engineers are responsible for the research, design, and development of control devices and systems, typically in manufacturing facilities and process plants. Control methods employ sensors to measure the output variable of the device and provide feedback to the controller so that it can make corrections toward desired performance. Automatic control manages a device without the need of human inputs for correction, such as cruise control for regulating a car's speed. In the present study a comprehensive review study on instrumentation and control engineering have been presented. The study was considered from different viewpoints which includes general introduction to instrumentation and control engineering; a comprehensive instrumentation that deliberates the present subject from the consideration of introduction, historical background and development, applications, measurement parameters, instrumentation engineering, impact of modern development; control engineering from the consideration of introduction, overview, history, control theory, control systems, control engineering education, control engineering careers, and recent advancement; and the last section is the conclusions.","source":"Semantic Scholar","year":2022,"language":"en","subjects":null,"doi":"10.33564/ijeast.2022.v07i08.004","url":"https://www.semanticscholar.org/paper/827eda304dc1e2012a7766915d6114c5718e0f52","pdf_url":"https://doi.org/10.33564/ijeast.2022.v07i08.004","is_open_access":true,"published_at":"","score":66},{"id":"ss_b6468d2edc087a3169329b9c64ee8c96f4ad3ff1","title":"Polynomial Chaos Expansion for Parametric Problems in Engineering Systems: A Review","authors":[{"name":"Danfeng Shen"},{"name":"Hao Wu"},{"name":"Bingqing Xia"},{"name":"D. Gan"}],"abstract":"In engineering systems with uncertain parameters, it is crucial for system analysis and control to analyze the relationship between these uncertain parameters and system outputs (or states). Nevertheless, the acquisition of this parameter-output function, termed parametric problem in this article, is not easy because it is usually a complicated implicit nonlinear function. Polynomial chaos expansion (PCE), based on the generalized Fourier expansion, is a state-of-the-art method for both parametric problems and uncertainty quantification. Its basic idea is to approximate the implicit parameter-output function with a globally optimal explicit polynomial function, which remains accurate in the case of strong nonlinearity compared with the local Taylor expansion. This article provides a review of PCE and its applications in parametric problems. In terms of PCE theory, a rigorous and complete framework of PCE is established and a detailed review of typical PCE methods is presented. In terms of applications, two kinds of general parametric problems, namely parametric nonlinear algebraic equations and parametric differential equations, as well as their examples in some engineering fields, are introduced. Furthermore, some worthwhile future works are presented at the end of this article, which may facilitate the development of PCE.","source":"Semantic Scholar","year":2020,"language":"en","subjects":["Mathematics","Computer Science"],"doi":"10.1109/JSYST.2019.2957664","url":"https://www.semanticscholar.org/paper/b6468d2edc087a3169329b9c64ee8c96f4ad3ff1","is_open_access":true,"citations":58,"published_at":"","score":65.74000000000001},{"id":"ss_20473ba09079e2d8546f698bdbedc0bff95c900c","title":"Possibilities of using automatic systems for correcting the position of working units of tools including soil cultivation","authors":[{"name":"Michał Zawada"},{"name":"S. Legutko"},{"name":"J. Szczepaniak"},{"name":"R. Rogacki"},{"name":"J. Wojciechowski"},{"name":"Sebastian Szymczyk"}],"abstract":"The progressive technical development of agriculture and the desire to increase the efficiency and quality of agrotechnical processes related to soil cultivation forces the use of more and more complex automation and robotisation processes in agricultural technology. The article introduces the reader to modern control systems for automatic hoeing tools and presents a modern control system for a baler-wrapper, the project of which (POIR.04.01.04-00-0067/18) is implemented by the authors in the Łukasiewicz Research Network Industrial Institute of Agricultural Engineering consortium with the Metal-Fach company. One of the reasons for the automatisation of agricultural machinery is the departure from chemical methods of cultivating crops, due to the growing awareness of consumers who want ecological and thus healthier products. The influence of automation on organic farming was characterized and its general principles were presented. The automatic cultivators were divided based on the kinematics of the tool movements they operate on the basis of machine vision. The results of the baler-wrapper tests were presented, confirming the validity of the designed control system. The authors summarized the main advantages and disadvantages of the systems for correcting the position of working tools of machines, considering the profitability of this type of investment on the example of weeder and a baler-wrapper. The article adopts the hypothesis that the development of agricultural automation has a positive effect on the development and popularity of organic farming.","source":"Semantic Scholar","year":2021,"language":"en","subjects":null,"doi":"10.1051/matecconf/202134308010","url":"https://www.semanticscholar.org/paper/20473ba09079e2d8546f698bdbedc0bff95c900c","pdf_url":"https://doi.org/10.1051/matecconf/202134308010","is_open_access":true,"citations":1,"published_at":"","score":65.03}],"total":50086,"page":1,"page_size":20,"sources":["DOAJ","Semantic Scholar"],"query":"Control engineering systems. Automatic machinery (General)"}