Dissipative Control for Single Flexible Joint Robotic System via T-S Fuzzy Modelling Approach

被引：0
|
作者：
Datta, Rupak [1 ]
Dey, Rajeeb [1 ]
Adhikari, Nabanita [1 ]
机构：
[1] Natl Inst Technol Silchar, Dept Elect Engn, Silchar 788010, India
来源：
IFAC PAPERSONLINE | 2022年 / 55卷 / 01期
关键词：
Dissipativity analysis; Takagi-Sugeno fuzzy modelling; Parallel distributed compensation; linear matrix inequality; Lyapunov-Krasovskii functional; STABILIZATION;
D O I：
10.1016/j.ifacol.2022.04.104
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 dissipativity analysis for single flexible joint robotic system via Takagi-Sugeno (T-S) fuzzy modelling technique is the main focus of this paper. Our aim is to design a delayed state feedback controller by using parallel distributed compensation (PDC) so that the considered system is asymptotically stable with a phi(2), phi(3)) -gamma- dissipativity condition is derived in terms of linear matrix inequality (LMI) framework by constructing an appropriate Lyapunov Krasovskii functional (LKF) and using higher order polynomial based integral inequality (HOPBII) to estimate its derivative. Finally, numerical simulation result is given to show the effectiveness of the proposed theoretical method. Copyright (C) 2022 The Authors.
引用
收藏
页码：637 / 642
页数：6
相关论文
共 50 条
  • [41] Passivity control for a kind of T-S fuzzy descriptor system
    Institute of System Sciences, Northeastern University, Shenyang 110004, China
    不详
    不详
    Xitong Gongcheng Lilum yu Shijian, 2006, 6 (81-87):
  • [42] Static output feedback fuzzy controller design via a mixed approach for regional T-S fuzzy system
    Sheng-Ming Wu
    Fang-Ming Yu
    Chein-Chung Sun
    Hung-Yuan Chung
    2006 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-6, PROCEEDINGS, 2006, : 3074 - +
  • [43] Sliding mode fault-tolerant control for T-S fuzzy system: a singular system approach
    Wang, Dongyun
    COMPUTATIONAL & APPLIED MATHEMATICS, 2022, 41 (08):
  • [44] Control of Switched Nonlinear Systems via T-S Fuzzy Modeling
    Zhao, Xudong
    Yin, Yunfei
    Zhang, Lixian
    Yang, Haijiao
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2016, 24 (01) : 235 - 241
  • [45] Study on Fuzzy-DMC Control System of T-S Fuzzy Model
    Wang, Shu-bin
    2017 INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION SCIENCES (ICRAS), 2017, : 94 - 97
  • [46] A novel design for H∞ control via T-S fuzzy model
    Liu, HP
    He, KZ
    Sun, FC
    Sun, ZQ
    2002 IEEE REGION 10 CONFERENCE ON COMPUTERS, COMMUNICATIONS, CONTROL AND POWER ENGINEERING, VOLS I-III, PROCEEDINGS, 2002, : 1704 - 1707
  • [47] T-S Fuzzy Control of a Single-Phase Bidirectional Inverter
    Yu, Gwo-Ruey
    Lai, Jian-Jia
    Liu, Jia-You
    PROCEEDINGS 2016 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT), 2016, : 1462 - 1467
  • [48] T-S Fuzzy Modelling and H∞ Attitude Control for Hypersonic Gliding Vehicles
    Zhang, Weidong
    Huang, Xianlin
    Gao, Xiao-Zhi
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2017, 2017
  • [49] Stability of T-S Model Based Fuzzy Control Systems -Virtual Equivalent System Approach
    Zhang, Weicun
    Wang, Xiaobo
    2013 INTERNATIONAL CONFERENCE ON COMPUTATIONAL PROBLEM-SOLVING (ICCP), 2013, : 90 - 93
  • [50] ADAPTIVE ROBUST CONTROL FOR ACTIVE SUSPENSION SYSTEM USING T-S FUZZY MODEL APPROACH
    Zhou, Chenyu
    Zhao, Xuan
    Yu, Qiang
    MECHATRONIC SYSTEMS AND CONTROL, 2018, 46 (02): : 46 - 54
12345