Adaptive Fuzzy Control for a Class of Multivariable Nonlinear Systems with Unknown Control Direction

被引：5
|
作者：
Labiod, Salim [1 ]
Guerra, Thierry Marie [2 ]
机构：
[1] Univ Jijel, Fac Sci & Technol, LAJ, Jijel, Algeria
[2] Univ Valenciennes & Hainaut Cambresis, UMR CNRS 8201, LAMIH, F-59313 Valenciennes 9, France
来源：
IFAC PAPERSONLINE | 2017年 / 50卷 / 01期
关键词：
Adaptive control; Fuzzy systems; Nonlinear systems; Control direction; Lyapunov stability;
D O I：
10.1016/j.ifacol.2017.08.666
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, a direct adaptive fuzzy control scheme is presented for a class of uncertain MIMO nonlinear systems with unknown sign of the control gain matrix. Within this scheme, fuzzy systems are employed to approximate an unknown ideal controller which can achieve the control objectives. The free parameters of the used fuzzy systems are adjusted online using the error between the unknown ideal controller and the fuzzy controller. Unlike previous works, the Nussbaum function technique is not used to deal with the unknown sign of the control gain matrix. In fact, in this paper, the unknown control direction is considered as an unknown constant parameter and it is estimated online by an appropriate adaptation law. The stability of the closed-loop system is analyzed using a Lyapunov approach. Simulation results are given to demonstrate the effectiveness of the proposed control design. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码：2995 / 3000
页数：6
相关论文
共 50 条
  • [11] Adaptive Fuzzy State-feedback Control for a Class of Multivariable Nonlinear Systems
    Merazka, Loubna
    Boulkroune, Abdesselem
    PROCEEDINGS OF 2016 8TH INTERNATIONAL CONFERENCE ON MODELLING, IDENTIFICATION & CONTROL (ICMIC 2016), 2016, : 925 - 931
  • [12] Adaptive Actuator Failure Compensation for a Class of Nonlinear Systems With Unknown Control Direction
    Wang, Chenliang
    Wen, Changyun
    Lin, Yan
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2017, 62 (01) : 385 - 392
  • [13] Direct adaptive control and robust analysis for unknown multivariable nonlinear systems with fuzzy logic systems
    Tong, SC
    Chai, TY
    FUZZY SETS AND SYSTEMS, 1999, 106 (03) : 309 - 319
  • [14] Adaptive fuzzy control for a class of uncertain nonlinear systems
    Vélez-Díaz, D
    Tang, Y
    42ND IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-6, PROCEEDINGS, 2003, : 5227 - 5232
  • [15] Adaptive Fuzzy Control for a Class of Nonlinear Systems With Unknown Time-Delays
    Liu, Yan-Jun
    Tong, Shao-cheng
    Li, Yong-ming
    2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 4361 - 4364
  • [16] A fuzzy adaptive control approach for nonlinear systems with unknown control gain sign
    Boulkroune, Abdesselem
    NEUROCOMPUTING, 2016, 179 : 318 - 325
  • [17] Adaptive Control of Time Delay Nonlinear Systems with Unknown Control Direction
    Zhang, Tianping
    Wen, Hui
    Zhu, Qiuqin
    2010 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-5, 2010, : 2057 - 2062
  • [18] Robust adaptive fuzzy control for a class of uncertain nonaffine nonlinear systems with unknown control directions
    Doudou, Sofiane
    Khaber, Farid
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2021, 43 (14) : 3103 - 3119
  • [19] Event-Triggered Adaptive Control for a Class of Nonlinear Systems With Unknown Control Direction and Sensor Faults
    Wang, Chenliang
    Wen, Changyun
    Hu, Qinglei
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2020, 65 (02) : 763 - 770
  • [20] Fuzzy adaptive control for a class of nonlinear systems
    Tong, SC
    Li, QG
    Chai, TY
    FUZZY SETS AND SYSTEMS, 1999, 101 (01) : 31 - 39
12345