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
  • [21] Hybrid Takagi-Sugeno fuzzy FED PID control of nonlinear systems
    Hamed, Basil
    El Khateb, Ahmad
    INTELLIGENT SYSTEMS AND AUTOMATION, 2008, 1019 : 99 - 102
  • [22] Takagi-Sugeno fuzzy generalized predictive control for a class of nonlinear systems
    Shi, Ke
    Wang, Bin
    Yang, Lan
    Jian, Shikang
    Bi, Jikai
    NONLINEAR DYNAMICS, 2017, 89 (01) : 169 - 177
  • [23] Robust H∞ fault-tolerant control for nonlinear networked control system based on Takagi-Sugeno fuzzy model
    Li, Wei
    Jiang, Dong-Nian
    Kongzhi yu Juece/Control and Decision, 2010, 25 (04): : 598 - 604
  • [24] Takagi-Sugeno Fuzzy Control of a Synchronous Machine
    Ouaaline, Najat
    Elalami, Noureddine
    2010 CONFERENCE ON CONTROL AND FAULT-TOLERANT SYSTEMS (SYSTOL'10), 2010, : 618 - 623
  • [25] Takagi-Sugeno fuzzy control of induction motor
    Moez, Allouche
    Mansour, Souissi
    Mohamed, Chaabane
    Driss, Mehdi
    World Academy of Science, Engineering and Technology, 2010, 68 : 479 - 485
  • [26] Nonlinear Takagi-Sugeno Fuzzy Observer Design for a Ball and Beam System
    Zhang, Weiwei
    Bai, Lijuan
    Zhang, Shanshan
    Pan, Juntao
    IFAC PAPERSONLINE, 2021, 54 (04): : 201 - 205
  • [27] Control laws for Takagi-Sugeno fuzzy models
    Guerra, TM
    Vermeiren, L
    FUZZY SETS AND SYSTEMS, 2001, 120 (01) : 95 - 108
  • [28] Application of evolving Takagi-Sugeno fuzzy model to nonlinear system identification
    Du, Haiping
    Zhang, Nong
    APPLIED SOFT COMPUTING, 2008, 8 (01) : 676 - 686
  • [29] H∞ control for sampled-data nonlinear systems described by Takagi-Sugeno fuzzy systems
    Katayama, H
    Ichikawa, A
    FUZZY SETS AND SYSTEMS, 2004, 148 (03) : 431 - 452
  • [30] H∞ fuzzy control of structural systems using Takagi-Sugeno fuzzy model
    Chen, CW
    Chiang, WL
    Hsiao, FH
    Tsai, CH
    ICM '04: PROCEEDINGS OF THE IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS 2004, 2004, : 340 - 345
12345