作者: Qi Li , Yingnan Pan , Zhenxing Zhang , Hak-Keung Lam
DOI: 10.1007/S40815-020-00807-Y
关键词: Fuzzy logic 、 Lyapunov stability 、 Computational intelligence 、 Actuator 、 Dissipative system 、 Fuzzy control system 、 Quantization (signal processing) 、 Control theory 、 Nonlinear system 、 Computer science
摘要: This paper investigates the dissipative interval type-2 (IT2) fuzzy control issue for a group of uncertain nonlinear systems subject to randomly occurring sensor saturation and quantization. By utilizing both lower upper membership functions with relevant tradeoff moduli, uncertainties, which exist in considered systems, can be captured effectively. During design IT2 controller, we take actuator failure into consideration. Considering randomicities occurrences quantization, two separate Bernoulli stochastic distributed courses are utilized construct corresponding complicated transmission route. In term Lyapunov stability theory, sufficient criteria controller presented assure strict dissipativity resulting closed-loop systems. Finally, illustrative example verifies effectiveness merits strategy proposed this paper.