Command filter‐based event‐triggered adaptive neural network control for uncertain nonlinear time‐delay systems
Baomin Li, Jianwei Xia, Wei Sun, Ju H. Park, Zong‐Yao Sun
Abstract
Summary In this article, the problem of command filter‐based adaptive event‐triggered neural network control is considered for a class of uncertain nonlinear systems with time delay. Lyapunov‐Krasovskii functionals and command filtered technology are utilized to address the problem of unknown time‐varying delays and explosion of complexity, respectively. Furthermore, by fusing the event‐triggered mechanism, an adaptive tracking controller is designed. The proposed controller not only ensures that the system output eventually follows the desired reference signal in the sufficiently small neighborhood of zero but also reduces the communication resources from the controller to the actuator. Finally, the effectiveness of the proposed control method is verified by a simulation example.