控制理论(社会学)
控制器(灌溉)
仿真
计算机科学
背景(考古学)
控制(管理)
参数化复杂度
事件(粒子物理)
非线性系统
自适应控制
常量(计算机编程)
理论(学习稳定性)
控制工程
工程类
人工智能
算法
农学
古生物学
经济
物理
程序设计语言
机器学习
生物
量子力学
经济增长
作者
Tiantian Guo,Yungang Liu
标识
DOI:10.1109/tcyb.2022.3182137
摘要
This article addresses global stabilization via disparate event-triggered output feedback for a class of uncertain nonlinear systems. Typically, the systems allow unknown control directions and unmeasurable-state dependent growth simultaneously. Actually, in the context of the latter ingredient, there has been no any continuous control strategy that has allowed the former ingredient so far. Hence, one cannot solve the event-triggered control problem based on corresponding continuous feedback as done in the emulation-based method. In view of the unsolvability, we pursue a nonemulation-based strategy, directly conducting event-triggered control design. First, a parameterized output feedback controller incorporating a dynamic high gain is designed, which would globally stabilize the system once the adjustable parameter therein is suitable. Then, an event-triggering mechanism is developed to not only decide when the controller is sampled/executed but also determine which constant value the adjustable parameter takes. Just due to the instantly varying (discontinuous) adjustable parameter, the feedback ability of the controller is large enough, making it possible to solve the control design problem in the event-triggered framework. A simulation example is provided to verify the effectiveness and advantage of the proposed approach.
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