Adaptive Output Feedback Control for Constrained Switched Systems with Input Quantization

Shuyan Qi, Jun Zhao () and Li Tang
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Shuyan Qi: State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, China
Jun Zhao: State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, China
Li Tang: College of Science, Liaoning University of Technology, Jinzhou 121000, China

Mathematics, 2023, vol. 11, issue 3, 1-16

Abstract: This paper investigates adaptive output feedback control problem for switched uncertain nonlinear systems with input quantization, unmeasured system states and state constraints. Firstly, fuzzy logic systems are introduced to identify system uncertainties, then the fuzzy based observer is constructed to estimate unavailable states. Secondly, combing the backstepping technique and the barrier Lyapunov function method, an adaptive fuzzy output feedback control law is designed, which guarantees that all signals in the closed-loop system are bounded, the system output tracks the reference signal, and system states satisfy their corresponding constraint conditions. Finally, simulation results further show the good performances of the proposed control scheme.

Keywords: switched systems; fuzzy observer; input quantization; state constraints (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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