Observer-Based Adaptive Output-Feedback Quantized Control for Switched Stochastic Nonlinear Time-Delay Systems

This paper is concerned with the adaptive output-feedback tracking control problem for switched stochastic nonlinear time-delay systems under arbitrary switching in the presence of input and output quantization. Combining common Lyapunov- Krasoviskii functional approach, neural network(NN) approximation-based method and backstepping technique, a novel observer-based adaptive output-feedback controller is presented to guarantee that all signals of closed-loop systems are 4-moment (or 2-moment) semi-globally uniformly ultimately bounded (SGUUB) and the tracking error can converge to a small neighborhood of the origin. Finally, a simulation example is given to verify the effectiveness of the proposed methodology.