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Li, Chenming; Zhao, Yibo; Zhu, Weiyong; Ma, Chao; Yu, Rongrong

High-order robust control design with optimized parameters based on confidence index. (English) Zbl 07900104

Int. J. Robust Nonlinear Control 34, No. 14, 9316-9335 (2024).
Summary: Under the theoretical support of fuzzy sets theory and confidence index, the proposed approach involves the development of a high-order robust control method that incorporates optimization techniques to address uncertain systems. First, the utilization of fuzzy sets theory is employed to establish a fuzzy dynamical model. Second, the design of a high-order robust controller is performed. Third, the design parameters are optimized based on confidence index, and the values are found that minimize the control cost. The simulation results show that this high-order robust control has significant advantages in dealing with uncertainty, as well as minimizing the control cost. It can be ensured the uniform boundedness and uniform ultimate boundedness. Thus, this proposed method offers the advantage of achieving both robustness and optimality simultaneously.
© 2024 John Wiley & Sons Ltd.

MSC:

93B35 Sensitivity (robustness)
93C42 Fuzzy control/observation systems

Keywords:

confidence index; high-order robust control; Lyapunov; parameters optimization; uncertain dynamical system
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Full Text: DOI

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