Adaptive fuzzy control of switched nonlinear systems with uncertain dead-zone: A mode-dependent fuzzy dead-zone model

In this paper, an adaptive fuzzy control scheme is addressed for switched nonlinear systems with uncertain dead-zone, unknown nonlinearities and immeasurable states. A novel proposed mode-dependent fuzzy dead-zone model (MFDM) can not only describe the uncertain dead-zone, but also overcome the common fuzzy dead-zone model (CFDM) problems caused by disconnected parameters and conservativeness. The unknown functions are approximated by fuzzy logic systems. To estimate the immeasurable states, a switched fuzzy state observer is constructed. By using multiple Lyapunov function and defuzzifying for MFDM, a new mode-dependent fuzzy controller is proposed to assure the boundedness of the closed-loop system and the desired tracking performance. The feasibility of the presented control technique is proved by simulation examples. (c) 2020 Elsevier B.V. All rights reserved.

Automated summary

This paper presents an adaptive fuzzy control scheme for switched nonlinear systems with uncertain dead-zone, unknown nonlinearities, and immeasurable states. The proposed novel mode-dependent fuzzy dead-zone model (MFDM) can accurately describe uncertain dead-zones and improves tracking performance. The feasibility of the control technique is demonstrated through simulation examples.