Semantic Scholar Open Access 2024 19 sitasi

Adaptive Performance Control for Input Constrained MIMO Nonlinear Systems

Panagiotis S. Trakas Charalampos P. Bechlioulis

Abstrak

In this work, we propose an approximation-free adaptive performance control scheme for unknown high-relative degree, multi-input-multioutput (MIMO) nonlinear systems with saturation on the control input signal. We introduce a novel reconciling adaptive modification of the predefined performance specifications based on the input constraints of the controlled plant, providing the best-feasible output performance. The automatic gain tuning in combination with the simplicity of the proposed controller enhance its robustness and enable its easy deployment in practical scenarios. Notably, the introduced control methodology ensures the necessary compromise between input-output constraints on a semi-global sense for ISS systems. However, the stability attributes for general nonlinear systems are inevitably limited to compact domains due to the inherent conflict between performance demand and actuation capability. In this context, we provide a sufficient closed-loop stability criterion through Lyapunov analysis. Finally, illustrative simulation studies and experimental results clarify and verify the efficacy of the proposed controller.

Topik & Kata Kunci

Penulis (2)

P

Panagiotis S. Trakas

C

Charalampos P. Bechlioulis

Format Sitasi

Trakas, P.S., Bechlioulis, C.P. (2024). Adaptive Performance Control for Input Constrained MIMO Nonlinear Systems. https://doi.org/10.1109/TSMC.2024.3462728

Akses Cepat

Lihat di Sumber doi.org/10.1109/TSMC.2024.3462728
Informasi Jurnal
Tahun Terbit
2024
Bahasa
en
Total Sitasi
19×
Sumber Database
Semantic Scholar
DOI
10.1109/TSMC.2024.3462728
Akses
Open Access ✓