Command filter‐based event‐triggered adaptive neural network control for uncertain nonlinear time‐delay systems. (14th August 2020)

• Record Type: Journal Article
• Authors: Li, Baomin; Xia, Jianwei; Sun, Wei; Park, Ju H.; Sun, Zong‐Yao
• Is Part Of: International journal of robust and nonlinear control. Volume 30:Number 16(2020)
• Page Start: 6363
• Page End: 6382
• Publication Date: 2020-08-14
• Subjects: adaptive control -- command filtered backstepping -- neural network control -- nonlinear systems -- time delay; Automatic control -- Periodicals; Control theory -- Periodicals; Nonlinear systems -- Periodicals; 629.836
• DOI: 10.1002/rnc.5111
• Languages: English
• ISSNs: 1049-8923

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.