Adaptive Prescribed-Time Control for Nonlinear Systems With Triggered States

IF 3.1 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Liuliu Zhang, Xinxin Fang, Cheng Qian, Changchun Hua
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引用次数: 0

Abstract

The problem of adaptive prescribed-time control for a class of nonlinear systems with uncertain parameters is studied under the condition of state-triggered transmission. The intermittent state feedback mechanism leads to discontinuous states, which generates the problem about non-differentiable virtual control signals. For this challenge, by introducing a prescribed-time dynamic surface control (DSC), a novel adaptive prescribed-time control strategy is presented. Also, a new event trigger condition is constructed to compensate for the triggering error. Based on the triggering mechanism and controller, the semi-global stabilization can be guaranteed within a specified time, irrespective of the initial conditions or other designed parameters. The effectiveness of the proposed method is validated by theoretical analysis and numerical simulation.

具有触发状态非线性系统的自适应规定时间控制
研究了一类参数不确定非线性系统在状态触发传输条件下的自适应规定时间控制问题。间歇状态反馈机制导致状态不连续,从而产生虚拟控制信号不可微的问题。针对这一挑战,通过引入定时动态面控制(DSC),提出了一种新的自适应定时控制策略。此外,还构造了一个新的事件触发条件来补偿触发错误。基于触发机构和控制器,在给定的时间内,无论初始条件或其他设计参数如何,都能保证系统的半全局稳定。理论分析和数值仿真验证了该方法的有效性。
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来源期刊
International Journal of Robust and Nonlinear Control
International Journal of Robust and Nonlinear Control 工程技术-工程:电子与电气
CiteScore
6.70
自引率
20.50%
发文量
505
审稿时长
2.7 months
期刊介绍: Papers that do not include an element of robust or nonlinear control and estimation theory will not be considered by the journal, and all papers will be expected to include significant novel content. The focus of the journal is on model based control design approaches rather than heuristic or rule based methods. Papers on neural networks will have to be of exceptional novelty to be considered for the journal.
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