通过互联扰动观测器方法对具有多重扰动的网络控制系统进行基于记忆事件触发控制的保证成本控制

IF 3.2 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS International Journal of Robust and Nonlinear Control Pub Date : 2024-09-03 DOI:10.1002/rnc.7617
Tao Huang, Jie Shen, Zhihao Zhang, Mouquan Shen, Hamid Reza Karimi
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引用次数: 0

摘要

本文致力于通过保证成本触发方案,对联网控制系统进行事件触发抗干扰控制。本文建立了一个分布式互连观测器结构,用于估计这些未知的匹配干扰。根据实时成本以及由观测器状态和上次成功传输状态组成的平均函数,构建了一种新的事件触发条件。基于事件触发观测器的状态反馈控制器和匹配干扰补偿器提供了一种复合控制方案。提供了线性矩阵不等式的充分条件,以确保结果闭环系统的渐近稳定性。仿真证明了所提出的触发控制策略的有效性。
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A guaranteed cost based memory event‐triggered control of networked control systems with multiple disturbances via an interconnected disturbance observer approach
This article is dedicated to event‐triggered anti‐disturbance control of networked control systems via a guaranteed cost triggering scheme. A distribution interconnected observer structure is built to estimate these unknown matched disturbances. A novel event triggered condition is constructed in terms of real‐time cost and averaged functions composed of observer states and the last successfully transmitted one. A composite control scheme is provided by an event‐triggered observer‐based state feedback controller and compensators for the matched disturbances. A sufficient condition in term of linear matrix inequality is supplied to ensure the asymptotic stability of the resultant closed‐loop system. A simulation is carried out to demonstrate the effectiveness of the proposed triggering control strategy.
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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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