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Event-triggered prescribed performance adaptive fuzzy asymptotic tracking of nonstrict-feedback nonlinear systems
International Journal of Robust and Nonlinear Control ( IF 3.2 ) Pub Date : 2021-05-16 , DOI: 10.1002/rnc.5569
Xiaoyan Hu 1 , Yuan‐Xin Li 2 , Zhongsheng Hou 1 , Ben Niu 3
Affiliation  

This paper considers the performance-guaranteed event-triggered adaptive asymptotic tracking control problem for nonstrict feedback nonlinear systems with uncertain external disturbances. More precisely, the upper bounds of control gain function in stability analysis are eliminated by establishing Lyapunov function with lower bounds of control coefficients. Compared with the previous guaranteed performance results where the tracking errors converge to the neighborhood of the origin, the control scheme proposed in this paper ensures that the tracking error asymptotically converges to zero by constructing the smooth functions and boundary estimation method. So that the prescribed performance of the system is always achieved. In addition, the event-triggered strategy is developed to reduce the waste of communication resources. The proposed control law can ensures that all the signals of system are bounded. Meanwhile, the Zeno behavior can be effectively avoid. Finally, two examples are provided to prove the effectiveness of the proposed scheme.

中文翻译:

非严格反馈非线性系统的事件触发规定性能自适应模糊渐近跟踪

本文考虑了具有不确定外部扰动的非严格反馈非线性系统的性能保证事件触发自适应渐近跟踪控制问题。更准确地说,通过建立具有控制系数下界的李雅普诺夫函数,消除了稳定性分析中控制增益函数的上界。与之前的跟踪误差收敛到原点邻域的保证性能结果相比,本文提出的控制方案通过构造平滑函数和边界估计方法确保跟踪误差渐近收敛到零。从而始终达到系统的规定性能。此外,还制定了事件触发策略,以减少通信资源的浪费。所提出的控制律可以保证系统的所有信号都是有界的。同时,可以有效避免芝诺行为。最后,提供了两个例子来证明所提出方案的有效性。
更新日期:2021-07-09
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