控制理论(社会学)
非线性系统
控制(管理)
控制器(灌溉)
自适应控制
补偿(心理学)
方案(数学)
计算机科学
事件(粒子物理)
控制系统
数学
工程类
人工智能
物理
量子力学
生物
电气工程
数学分析
心理学
精神分析
农学
作者
Chao Wang,Yujuan Wang,Yunfei Dai,Yu Ma
摘要
Abstract This article is concerned with the tracking control problem for a class of uncertain nonlinear systems under output constraints and unknown control direction. To address the unknown control direction and uncertain system parameters, the adaptive compensation mechanism and Nussbaum gain based control technique are employed. In addition, to reduce the communication burden and computing cost, the event‐triggered control mechanism is introduced into the proposed control scheme, in which both the controller and the parameter estimator are event‐triggered, distinguishing itself from the traditional control method based on event‐triggered mechanism. Two different adaptive event‐triggered control schemes based on the fixed threshold strategy and relative threshold strategy are provided, under both of which, the boundness of all signals in the closed‐loop system are guaranteed and the output of system remains in the constraints. More importantly, the Zeno behavior can be avoided under both the two proposed event‐triggered control schemes. The effectiveness of the proposed event‐triggered control schemes are confirmed by the numerical simulation.
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