Robust network-based H∞ control with a low overshoot for linear continuous system

被引：0
|
作者：
Shen, Yanjun [1 ]
Zhang, Yi [1 ]
Yu, Hui [2 ]
机构：
[1] China Three Gorges Univ, Coll Elect Engn & New Energy, Yichang 443002, Hubei, Peoples R China
[2] China Three Gorges Univ, Coll Sci, Yichang 443002, Hubei, Peoples R China
来源：
2017 IEEE 7TH ANNUAL INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (CYBER) | 2017年
基金：
美国国家科学基金会;
关键词：
H-infinity control; networked control; low overshoot; FTB; LMI; FINITE-TIME CONTROL; OUTPUT TRACKING CONTROL; DESIGN; DELAY; STABILITY; STABILIZATION; UNCERTAINTIES; DISTURBANCE; FEEDBACK;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we address robust network-based H-infinity control with a low overshoot for linear system. The problem is turned into a problem of multi-objective H-infinity and FTB (finite-time boundedness) network-based control. Based on newly proposed sufficient conditions of FTB, a state feedback controller is designed such that the closed-loop system possesses H-infinity performance, and the states fall in a preseted region in a preseted time interval. Numerical simulations point out that desired performance of the newly proposed control schemes can be accomplished by a satellite system.
引用
收藏
页码：639 / 644
页数：6
相关论文
共 50 条
  • [31] Investigating the positive effects of packet dropouts on network-based H∞ control for a class of linear systems
    Zhang, Dawei
    Yang, Yanping
    Jia, Xinchun
    Han, Qing-Long
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2016, 353 (14): : 3343 - 3367
  • [32] Network-based H∞ control of systems with transmission delays
    Guan, Xinping
    Liu, Yichang
    Dai, Shuangfeng
    Long, Chengnian
    WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 4425 - +
  • [33] Universal Learning Network-based fuzzy system and its application to non-linear control system
    Hirasawa, K
    Wu, R
    Ohbayashi, M
    Shao, N
    INFORMATION INTELLIGENCE AND SYSTEMS, VOLS 1-4, 1996, : 1190 - 1195
  • [34] Universal learning network-based fuzzy system and its application to non-linear control system
    Graduate Sch of Information Science, and Electrical Engineering
    Mem Fac Eng Kyushu Univ, 2 (99-112):
  • [35] Adaptive neural network-based robust H∞ tracking control of a quadrotor UAV under wind disturbances
    Bellahcene, Zakaria
    Bouhamida, Mohamed
    Denai, Mouloud
    Assali, Khaled
    INTERNATIONAL JOURNAL OF AUTOMATION AND CONTROL, 2021, 15 (01) : 28 - 57
  • [36] Neural network based robust hybrid control for robotic system: an H∞ approach
    Jinzhu Peng
    Jie Wang
    Yaonan Wang
    Nonlinear Dynamics, 2011, 65 : 421 - 431
  • [37] Neural network based robust hybrid control for robotic system: an H a approach
    Peng, Jinzhu
    Wang, Jie
    Wang, Yaonan
    NONLINEAR DYNAMICS, 2011, 65 (04) : 421 - 431
  • [38] Neural network-based robust tracking control for nonholonomic mobile robot
    Peng, Jinzhu
    Wang, Yaonan
    Yu, Hongshan
    ADVANCES IN NEURAL NETWORKS - ISNN 2007, PT 1, PROCEEDINGS, 2007, 4491 : 804 - +
  • [39] A new delay system approach to network-based control
    Gao, Huijun
    Chen, Tongwen
    Lam, James
    AUTOMATICA, 2008, 44 (01) : 39 - 52
  • [40] Network-based control system with 'unparalleled' data access
    不详
    HYDROCARBON PROCESSING, 2003, 82 (06): : 36 - 37
12345