Event-based adaptive asymptotic tracking control of nonlinear time-varying systems with prescribed performance  

作　　者：Sheng-Nan Shi Yuan-Xin Li 

机构地区：[1]Department of Automation,Qingdao University,Qingdao,Shandong,People’s Republic of China [2]Department of Science,Liaoning University of Technology,Jinzhou,Liaoning,People’s Republic of China

出　　处：《Journal of Control and Decision》2023年第3期355-364,共10页控制与决策学报（英文）

基　　金：the Funds of National Science of China[grant number 61973146];in part by the Distinguished Young Scientifific Research Talents Plan in Liaoning Province[grant number XLYC1907077];in part by the Taishan Scholar Project of Shandong Province ofChina[grant number tsqn201909097].

摘　　要：This paper is concerned with the adaptive tracking control problem of nonlinear time-varyingsystems. Based on the backstepping technology, an event-based prescribed performance controlscheme is developed. And the time-varying uncertainties of the system are handled byutilising bound estimation method. The proposed controller not only ensures the prescribedtracking performance, but also reduces the communication burden. By using Lyapunov stabilityanalysis, it is proven that all of the closed-loop signals are bounded, and the tracking errorcan converge to zero. Simultaneously, Zeno behaviour is excluded. Finally, the simulation resultsare utilised to illustrate the effectiveness of the proposed adaptive control scheme.

关 键 词：Nonlinear time-varying systems event-triggered control(ETC) adaptive asymptotic tracking control prescribed performance 

分 类 号：O17[理学—数学]