DOAJ Open Access 2025

Fuzzy adaptive finite-time inverse optimal control for active suspension systems

Zhenggang Chen Wei Wu Shaocheng Tong

Abstrak

This paper investigates the problem of fuzzy adaptive finite-time inverse optimal control for active suspension systems (ASSs). The fuzzy logic systems (FLSs) are utilized to learn the unknown non-linear dynamics and an auxiliary system is established. Based on the finite-time stability theory and inverse optimal theory, a fuzzy adaptive inverse finite-time inverse optimal control method is proposed. It is proven that the formulated control approach guarantees the stability of the controlled systems, while ensuring that errors converge to a small neighborhood of zero within finite time. Moreover, the optimized control performance can be achieved. Eventually, the simulation results demonstrate the effectiveness of the proposed fuzzy adaptive finite-time inverse optimal control scheme.

Topik & Kata Kunci

Control engineering systems. Automatic machinery (General) Electronic computers. Computer science

Penulis (3)

Zhenggang Chen

Wei Wu

Shaocheng Tong

Format Sitasi

APA MLA BibTeX

Chen, Z., Wu, W., Tong, S. (2025). Fuzzy adaptive finite-time inverse optimal control for active suspension systems. https://doi.org/10.1016/j.jai.2025.07.002

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Informasi Jurnal

Tahun Terbit: 2025
Sumber Database: DOAJ
DOI: 10.1016/j.jai.2025.07.002
Akses: Open Access ✓