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Model-Based Dynamic Event-Triggered Control for Systems With Uncertainty: A Hybrid System Approach

机译:基于模型的动态事件触发控制具有不确定性的系统:混合系统方法

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摘要

In this article, the event-triggered control problem for linear systems with uncertainties is addressed. A model-based dynamic event-triggered transmission strategy is proposed for linear systems, and for systems that can be decomposed into interconnected subsystems, a distributed model-based dynamic event-triggered transmission strategy is also proposed with transmission delays and transmission protocols in the networks. The whole systems are modeled into a hybrid system framework by introducing storage variables. Using stability theorems of hybrid systems, explicit designs of the transmission strategies are presented and asymptotic stability is guaranteed. Finally, an example is given to show that the transmissions are significantly reduced by the transmission strategy in this article compared with the transmission strategy by zero-order-hold.
机译:在本文中,解决了具有不确定性的线性系统的事件触发控制问题。提出了一种基于模型的动态事件触发传输策略,并且对于可以分解成互联的子系统的系统,还提出了一种基于分布式模型的动态事件触发传输策略,并在网络中具有传输延迟和传输协议。通过引入存储变量,整个系统被建模为混合系统框架。使用混合系统的稳定性定理,提出了传输策略的明确设计,并保证了渐近稳定性。最后,给出了一个例子,示出了通过零阶保持的传输策略相比,本文中的传输策略显着降低了传输。

著录项

  • 来源
    《Automatic Control, IEEE Transactions on》 |2021年第1期|444-451|共8页
  • 作者单位

    Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Dalian China;

    Center for Control Dynamical Systems and Computation University of California Santa Barbara CA USA;

    Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Dalian China;

    Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Dalian China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Protocols; Mathematical model; Delays; Linear systems; Control systems; Asymptotic stability; Data models;

    机译:协议;数学模型;延迟;线性系统;控制系统;渐近稳定性;数据模型;

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