Adaptive Output Feedback Control for Constrained Switched Systems with Input Quantization

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 are introduced to identify uncertainties, then the based observer is constructed estimate unavailable states. Secondly, combing backstepping technique barrier Lyapunov function method, an law designed, which guarantees that all signals in closed-loop bounded, tracks reference signal, satisfy their corresponding constraint conditions. Finally, simulation results further show good performances of proposed scheme.