Adaptive Fuzzy-Based Event-Triggered Control for MIMO Switched Nonlinear System With Unknown Control Directions
Yingxue Hou, Yan‐Jun Liu, Li Tang, Shaocheng Tong
Abstract
An adaptive fuzzy-based event-triggered control (ETC) scheme is putted forward in this article, targeted at multi-input multioutput switched nonlinear systems with the situation of control directions are unknown. By designing a state observer and by means of fuzzy logic system, the unmeasurable state and unknown nonlinear function is resolved. The command filter is introduced to backstepping design process, combine with the Nussbaum function technology, overcome the trouble of calculation explosion derived from the partial derivative of the virtual controller, and also solves the influence of unknown control directions on the controller design. By construct multiple Lyapunov functions and under the designed ETC mechanism, an adaptive ETC scheme is developed. In addition, the stability of the system is verified by combining the average dwell time method. Finally, a numerical simulation verification example is given.