基于模型的非线性丢包系统分散动态周期事件触发控制

IF 19.2 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Chengchao Li;Xudong Zhao;Wei Xing;Ning Xu;Ning Zhao
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引用次数: 0

摘要

研究了网络控制系统在丢包和外部干扰下基于模型的分散动态周期事件触发机制(DDPETM)设计问题。首先,将整个ncs(包括触发机制、丢包和基于输出的控制器)统一到一个混合动态框架中。其次,通过引入动态触发变量,DDPETM被设计为在保证期望的性能特性和容忍最大允许连续丢包数的同时节省网络资源。第三,利用李雅普诺夫方法导出了一些稳定性条件。与零阶保持(ZOH)情况不同,基于模型的控制充分利用了控制器端的模型信息。在两次更新之间,控制器根据模型和接收到的反馈信息预测工厂状态。使用基于模型的控制,可能会比使用ZOH时传输更少。最后,通过数值算例和对比实验验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Model-Based Decentralized Dynamic Periodic Event-Triggered Control for Nonlinear Systems Subject to Packet Losses
This paper studies the problem of designing a model-based decentralized dynamic periodic event-triggering mechanism (DDPETM) for networked control systems (NCSs) subject to packet losses and external disturbances. Firstly, the entire NCSs, comprising the triggering mechanism, packet losses and output-based controller, are unified into a hybrid dynamical framework. Secondly, by introducing dynamic triggering variables, the DDPETM is designed to conserve network resources while guaranteeing desired performance properties and tolerating the maximum allowable number of successive packet losses. Thirdly, some stability conditions are derived using the Lyapunov approach. Differing from the zero-order-hold (ZOH) case, the model-based control sufficiently exploits the model information at the controller side. Between two updates, the controller predicts the plant state based on the models and received feedback information. With the model-based control, less transmission may be expected than with ZOH. Finally, numerical examples and comparative experiments demonstrate the effectiveness of the proposed method.
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来源期刊
Ieee-Caa Journal of Automatica Sinica
Ieee-Caa Journal of Automatica Sinica Engineering-Control and Systems Engineering
CiteScore
23.50
自引率
11.00%
发文量
880
期刊介绍: The IEEE/CAA Journal of Automatica Sinica is a reputable journal that publishes high-quality papers in English on original theoretical/experimental research and development in the field of automation. The journal covers a wide range of topics including automatic control, artificial intelligence and intelligent control, systems theory and engineering, pattern recognition and intelligent systems, automation engineering and applications, information processing and information systems, network-based automation, robotics, sensing and measurement, and navigation, guidance, and control. Additionally, the journal is abstracted/indexed in several prominent databases including SCIE (Science Citation Index Expanded), EI (Engineering Index), Inspec, Scopus, SCImago, DBLP, CNKI (China National Knowledge Infrastructure), CSCD (Chinese Science Citation Database), and IEEE Xplore.
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