The multi-step predicting controllers for deterministic networked control systems

被引:0
|
作者
Zhu, Qi-Xin [1 ]
Liu, Hong-Li [2 ]
Hu, Shou-Song [3 ]
机构
[1] School of Electrical and Electronics Engineering, East China Jiaotong University, Nanchang 330013, Jiangxi, China
[2] School of Nature Science, East China Jiaotong University, Nanchang 330013, Jiangxi, China
[3] College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, Jiangsu, China
来源
Binggong Xuebao/Acta Armamentarii | 2009年 / 30卷 / 08期
关键词
Controllers - Delay control systems - Closed loop systems - Networked control systems - Distribution functions - Stochastic control systems - Control theory - Inverted pendulum - Stochastic systems - Timing circuits;
D O I
暂无
中图分类号
学科分类号
摘要
As network-induced delay is a stochastic variable, networked control systems are stochastic systems. For this kind of stochastic system, one can design its stochastic controllers when network-induced delay has a known probability distribution function, otherwise one can only design its deterministic controllers. On some assumptions, the method of placing a specific amount of buffer at source node and object node of the systems was used to transform stochastic time delay to deterministic time delay. The systems with stochastic delay were transformed to a deterministic one. Based on linear time-invariation controlled object, multi-step predicting controllers of the systems were designed, which makes the closed loop system stabilizable and satisfies the separation principle with the observer. The simulation based on the unstable inverted pendulum was performed. The simulated results show that the proposed method is effective.
引用
收藏
页码:1124 / 1128
相关论文
共 50 条
  • [21] Creation research for deterministic networked control systems
    Zhu Qi-Xin
    Liu Hong-Li
    Hu Shou-Song
    PROCEEDINGS OF THE 2007 CHINESE CONTROL AND DECISION CONFERENCE, 2007, : 691 - 693
  • [22] Tuning of PID controllers for networked control systems
    Pohjola, Mikael
    Eriksson, Lasse
    Koivo, Heikki
    IECON 2006 - 32ND ANNUAL CONFERENCE ON IEEE INDUSTRIAL ELECTRONICS, VOLS 1-11, 2006, : 855 - +
  • [23] H∞ control of LPV systems with randomly multi-step sensor delays
    Yilian Zhang
    Fuwen Yang
    Qing-Long Han
    International Journal of Control, Automation and Systems, 2014, 12 : 1207 - 1215
  • [24] Performance analysis of multi-step power control algorithm for cellular systems
    Chen, Young-Long
    Li, Chih-Peng
    Wang, Jyu-Wei
    Wen, Jyh-Horng
    EUROPEAN TRANSACTIONS ON TELECOMMUNICATIONS, 2008, 19 (02): : 193 - 206
  • [25] RBF neural network multi-step predictive control for nonlinear systems
    Fan, Zhao-Feng
    Ma, Xiao-Ping
    Shao, Xiao-Gen
    Kongzhi yu Juece/Control and Decision, 2014, 29 (07): : 1274 - 1278
  • [26] H∞ Control of LPV Systems with Randomly Multi-Step Sensor Delays
    Zhang, Yilian
    Yang, Fuwen
    Han, Qing-Long
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2014, 12 (06) : 1207 - 1215
  • [27] Multi-Step Training for Predicting Roundabout Traffic Situations
    Sackmann, Moritz
    Leemann, Tobias
    Bey, Henrik
    Hofmann, Ulrich
    Thielecke, Joern
    2021 IEEE INTELLIGENT TRANSPORTATION SYSTEMS CONFERENCE (ITSC), 2021, : 1982 - 1989
  • [28] Robust Stability and Stabilization of Deterministic Networked Control Systems
    Wang, Yanping
    Zhu, Qixin
    MATERIALS SCIENCE AND INFORMATION TECHNOLOGY, PTS 1-8, 2012, 433-440 : 4108 - +
  • [29] Guaranteed Estimation Problem for Multi-Step Systems
    Ananyev, Boris I.
    Yurovskikh, Polina A.
    BULLETIN OF IRKUTSK STATE UNIVERSITY-SERIES MATHEMATICS, 2023, 45 : 37 - 53
  • [30] Optimal Tracking Control and Stabilization for Stochastic Systems with Multi-step Input Delay
    Han, Chunyan
    Liu, Yue
    2018 37TH CHINESE CONTROL CONFERENCE (CCC), 2018, : 2185 - 2190