Finite‐Time Adaptive Fuzzy Control for Stochastic Nonlinear Systems with Input Quantization and Actuator Faults
Mohamed Kharrat,
Hadil Alhazmi
Abstract:This study examines the problem of fuzzy adaptive finite‐time control for strict‐feedback stochastic nonlinear systems in the presence of actuator faults and quantization. The nonlinear functions inside the systems are approximated using fuzzy logic systems (FLS). Fuzzy approximation abilities are employed to develop an adaptive fuzzy finite‐time controller based on the backstepping design methodology and the Lyapunov function approach. It is shown that, despite quantization and unknown actuator faults, the cl… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.