Nonlinear System H∞ Fuzzy Control within Takagi-Sugeno Framework

被引：0
|
作者：
Filasova, A. [1 ]
Hladky, V. [1 ]
Krokavec, D. [1 ]
机构：
[1] Tech Univ Kosice, Fac Elect Engn & Informat, Dept Cybernet & Artificial Intelligence, Kosice, Slovakia
来源：
2013 INTERNATIONAL CONFERENCE ON PROCESS CONTROL (PC) | 2013年
关键词：
Takagi-Sugeno models; fuzzy control; parallel distributed compensation; linear matrix inequalities; convex optimization; STABILITY; DESIGN; 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：
The paper deals with the problem of constrained H-infinity fuzzy control for a class of continuous-time nonlinear systems, represented by Takagi-Sugeno models. On the basis of the Lyapunov stability criterion and H-infinity norm performances, the sufficient conditions of stabilization are outlined and adjusted for systems operating in a forced mode. Numerical simulation is given to illustrate the design procedure and to validate the performances of the proposed approach.
引用
下载
收藏
页码：13 / 18
页数：6
相关论文
共 50 条
  • [1] H∞ control for Takagi-Sugeno fuzzy systems
    Yoneyama, Jun
    Nishikawa, Masahiro
    Katayama, Hitoshi
    Ichikawa, Akira
    International Journal of Systems Science, 2002, 32 (07) : 915 - 924
  • [2] H∞ control for Takagi-Sugeno fuzzy systems
    Yoneyama, J
    Nishikawa, M
    Katayama, H
    Ichikawa, A
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2001, 32 (07) : 915 - 924
  • [3] Takagi-Sugeno Fuzzy Control Method for Nonlinear Systems
    Serra, Ginalber L. O.
    Ferreira, Carlos Cesar T.
    IEEE INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN ROBOTICS AND AUTOMATION, 2009, : 492 - 496
  • [4] H∞ sampled-data control of Takagi-Sugeno fuzzy system
    Kim, Do Wan, 1600, Institute of Control, Robotics and Systems (20):
  • [5] A nonlinear Takagi-Sugeno fuzzy logic control for single machine power system
    Rim Ben Salah
    Omor Kahouli
    Hsan Hadjabdallah
    The International Journal of Advanced Manufacturing Technology, 2017, 90 : 575 - 590
  • [6] Takagi-Sugeno Fuzzy Hopfield Neural Networks for H∞ Nonlinear System Identification
    Ahn, Choon Ki
    NEURAL PROCESSING LETTERS, 2011, 34 (01) : 59 - 70
  • [7] Robust Takagi-Sugeno Fuzzy Control of PV System
    Kamal, Elkhatib
    Aitouche, Abdel
    Bouamama, Belkacem Ould
    2016 INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT), 2016, : 52 - 58
  • [8] Takagi-Sugeno Fuzzy Modeling and Control of Nonlinear System with Adaptive Clustering Algorithms
    Zhao, Kai
    Li, Shurong
    Kang, Zhongjian
    PROCEEDINGS OF 2018 10TH INTERNATIONAL CONFERENCE ON MODELLING, IDENTIFICATION AND CONTROL (ICMIC), 2018,
  • [9] A nonlinear Takagi-Sugeno fuzzy logic control for single machine power system
    Ben Salah, Rim
    Kahouli, Omor
    Hadjabdallah, Hsan
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2017, 90 (1-4): : 575 - 590
  • [10] Takagi-Sugeno Fuzzy Control for a Nonlinear Networked System Exposed to a Replay Attack
    El Abbadi, Reda
    Jamouli, Hicham
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2021, 2021
12345