Design of Event-Triggered Adaptive Finite-Time Controller for Full-State Constrained Stochastic Nonlinear Systems with Unknown Control Directions
摘要
In this article, the problem of event-triggered (ET) adaptive finite-time tracking control is investigated for full-state constrained stochastic nonlinear systems with unknown control directions. In the backstepping, multi-dimensional Taylor networks are employed to estimate the unknown nonlinearities and the command filter is used to overcome the problem of explosion of complexity. Subsequently, a novel adaptive updated law is created for co-designing the controller and the switching threshold-based ET mechanism by introducing the Nussbaum-type functions, which effectively handles the effects of the measurement errors due to the ET mechanism, and the challenges of controller design because of the presence of unknown control directions. The proposed control strategy can achieve that the closed-loop system is semi-global finite-time stable in probability, the system states are maintained in the predefined compact sets in a finite time and the system output tracking expectation signal is commendable while easing the communications burden. Finally, two examples are employed to illustrate the validity of the proposed control strategy.
类型
出版物
International Journal of Control
Event-Triggered Control
Finite-Time Control
Multi-Dimensional Taylor Networks
Full State Constraints
Stochastic Nonlinear Systems
其他
Authors
Authors
Authors
Authors
正教授
博士，教授，硕士生导师，人工智能技术海洋场景化应用山东省工程研究中心副主任，青岛市人工智能海洋技术创新中心副主任，青岛科技大学数学与交叉研究院副院长。山东赛区数学建模竞赛专家组成员、山东省数学会理事、山东省应用统计学会理事、人工智能海洋学专业委员会委员。近年来，主持或参与国家自然科学基金、省自然基金、省教改项目等各类教学科研项目20多项，在国内外期刊发表学术论文80余篇，其中被SCI、EI检索70余篇，参编教材1部。指导学生参加全国大学生数学建模竞赛、中国研究生数学建模竞赛、美国大学生数学建模竞赛等各类竞赛获国家一等奖9项、国家二等奖29项、国家三等奖13项、山东省一等奖37项、山东省二等奖12项、山东省三等奖7项。指导本科生参加国家大学生创新计划项目4项。