Dissipative control for a class of uncertain nonlinear control systems

被引:0
|
作者
Hsueh, Yao-Chu [1 ]
Su, Shun-Feng [1 ]
Hsiao, Chih-Ching [2 ]
机构
[1] Natl Taiwan Univ Sci & Technol, Dept Elect Engn, Taipei 106, Taiwan
[2] Kau Yuan Univ, Dept Elect Engn, Kaohsiung 807, Taiwan
关键词
L2-gain; dissipative control; finite-gain stability; QUADRATIC DIFFERENTIAL FORMS; H-INFINITY CONTROL; DYNAMICAL-SYSTEMS; STORAGE FUNCTION; LINEAR-SYSTEMS; STABILITY; OUTPUT;
D O I
10.1002/asjc.460
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A general dissipative controller is proposed to achieve robust tracking control performance for a class of uncertain single-input single-output (SISO) nonlinear systems. The feedback linearization technique is employed to transform the nonlinear system into an assignable inner linear system with a differential control input so that the relationship of the external (input) power and the stored energy of system can be shown clearly. Then, a dissipative controller with an assignable attenuation level is proposed to make the system energy dynamics fit a required dissipative inequality. The unstable factors of the system can then be attenuated accordingly. The system stability is guaranteed even if the system has permanent unavoidable uncertainties. The proposed design can be achieved without the use of traditional means, i.e. optimal control, which requires solution of a Hamilton inequality (or Riccati equation). The Lyapunov stable condition is assured in our approach when the system uncertainties belong to L 8. Moreover, due to the compatibility of the proposed controller, the controller can be embedded into the designs of other controllers. In those designs, knowledge of the system functions is not required. Basically, the proposed dissipative controller is independent of the system functions. The use of the bounds of the system function is considered to prove the system stability only. Two simulations are given to illustrate the effectiveness of the proposed controller. Copyright (C) 2011 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society
引用
收藏
页码:835 / 845
页数:11
相关论文
共 50 条
  • [1] Dissipative Control for a Class of Uncertain Polynomial Nonlinear Systems
    Li, Chaoqun
    Sheng, Li
    [J]. PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021), 2021, : 6228 - 6233
  • [2] Dissipative control for a class of nonlinear descriptor systems
    Zhou, Juan
    Zhang, Qingling
    Li, Jinghao
    Men, Bo
    Ren, Junchao
    [J]. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2016, 47 (05) : 1110 - 1120
  • [3] Output feedback dissipative control for a class of uncertain systems with delay
    Shao Han-yong
    [J]. PROCEEDINGS OF 2006 CHINESE CONTROL AND DECISION CONFERENCE, 2006, : 117 - 120
  • [4] Robust output feedback dissipative control for uncertain nonlinear systems
    Dept. of Information Engineering, Zhejiang University, Hangzhou, Zhejiang, 310027, China
    [J]. Zhejiang University; National Laboratory of Industrial Control Technology; Zhejiang University of Technology, 1600, 809-813 (2004):
  • [5] Adaptive Control for a Class of Uncertain Nonlinear Systems: Application to Photovoltaic Control Systems
    Jaramillo-Lopez, Fernando
    Kenne, Godpromesse
    Lamnabhi-Lagarrigue, Francoise
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2017, 62 (01) : 393 - 398
  • [6] Composite tracking control for a class of uncertain nonlinear control systems with uncertain deadzone nonlinearities
    Sun, Yeong-Jeu
    [J]. CHAOS SOLITONS & FRACTALS, 2008, 35 (02) : 383 - 389
  • [7] Adaptive control of a class of uncertain nonlinear systems with unknown control directions
    Du Jialu
    Yu Shuanghe
    Guo Chen
    Zhao Yongsheng
    [J]. PROCEEDINGS OF THE 26TH CHINESE CONTROL CONFERENCE, VOL 3, 2007, : 835 - +
  • [8] Robust adaptive control of a class of nonlinear uncertain systems
    Weiping Bi
    Xiaowu Mu
    Jimin Yu
    [J]. Journal of Control Theory and Applications, 2004, 2 (2): : 179 - 184
  • [9] Robust adaptive control of a class of uncertain nonlinear systems
    Wang, HB
    Guo, RL
    Li, TL
    Wang, HR
    [J]. 2003 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-5, PROCEEDINGS, 2003, : 789 - 792
  • [10] PID Control for a Class of Nonlinear Uncertain Stochastic Systems
    Cong, Xinrong
    Guo, Lei
    [J]. 2017 IEEE 56TH ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2017,