An adaptive H∞ tracking control for a class of nonlinear multiple-input-multiple-output (MIMO) systems

被引:0
|
作者
Chang, YC [1 ]
机构
[1] Kun Shan Univ Technol, Dept Elect Engn, Tainan, Taiwan
关键词
H-infinity tracking control; hybrid adaptive-robust design; nonlinear multiple-input-multiple output (MIMO) systems; Riccati-like matrix equation;
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
An adaptive H-infinity tracking control equipped with a VSC algorithm is proposed for a class of nonlinear multiple-input-multiple-output (MIMO) systems that are represented by input-output models involving parametric uncertainties, unmodeled perturbations and external disturbances. In order to counteract the effect due to the unmodeled perturbation in the input weighting gain the H-infinity tracking control requires to solve a modified algebraic Riccati-like matrix equation. The derived hybrid adaptive-robust tracking control schemes guarantee that all the signals and states are bounded, the tracking error is uniformly ultimately bounded and an H-infinity tracking performance is achieved. Compared with the conventional H-infinity tracking control design the developed adaptive-robust H-infinity tracking control scheme can be applied to a broader class of nonlinear MIMO systems in the presence of high-degree uncertainties.
引用
收藏
页码:1432 / 1437
页数:6
相关论文
共 50 条
  • [41] Simultaneous Sensor and Process Fault Detection and Isolation in Multiple-Input-Multiple-Output Systems
    Krishnamoorthy, Ganesh
    Ashok, Pradeepkumar
    Tesar, Delbert
    IEEE SYSTEMS JOURNAL, 2015, 9 (02): : 335 - 349
  • [42] Adaptive fuzzy tracking control for a class of switched MIMO nonlinear systems
    Wang, Yu-Fei
    Jiang, Chang-Sheng
    Wu, Qing-Xian
    Zhang, Qiang
    Journal of Harbin Institute of Technology (New Series), 2012, 19 (01) : 44 - 49
  • [43] Robust Tracking Adaptive Fuzzy Control for a Class of MIMO Nonlinear Systems
    Aloui, Sinda
    Pages, Olivier
    El Hajjaji, Ahmed
    Chaari, Abdessattar
    Koubaa, Yassine
    18TH MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION, 2010, : 1170 - 1175
  • [44] Adaptive fuzzy tracking control for a class of switched MIMO nonlinear systems
    王宇飞
    姜长生
    吴庆宪
    张强
    Journal of Harbin Institute of Technology, 2012, 19 (01) : 44 - 49
  • [45] Adaptive fuzzy tracking control for a class of switched MIMO nonlinear systems
    王宇飞
    姜长生
    吴庆宪
    张强
    Journal of Harbin Institute of Technology(New series), 2012, (01) : 44 - 49
  • [46] Wideband multiple-input-multiple-output dielectric resonator antenna
    Sharma, Abhishek
    Biswas, Animesh
    IET MICROWAVES ANTENNAS & PROPAGATION, 2017, 11 (04) : 496 - 502
  • [47] Phase compensation and processing in multiple-input-multiple-output radars
    Sammartino, P. F.
    Tarchi, D.
    Fortuny-Guasch, J.
    Oliveri, F.
    Giuliani, R.
    IET RADAR SONAR AND NAVIGATION, 2012, 6 (04): : 222 - 232
  • [48] Multiple-input, multiple-output (MIMO) control systems - A new era in shaker control
    Davis, T
    SOUND AND VIBRATION, 2006, 40 (01): : 6 - +
  • [49] Multiple-Input-Multiple-Output (MIMO) MRI: Combining Parallel Excitation and Parallel Reception for Enhanced Imaging
    Mao, Xianglun
    Vike, Nicole L.
    Talavage, Thomas
    Rispoli, Joseph
    Love, David J.
    IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING, 2019, 5 (04) : 596 - 605
  • [50] A finite-time adaptive fuzzy backstepping control for multiple-input multiple-output coupled nonlinear systems with tracking error constraints
    Wang, Chao
    Zhang, Cheng
    Liu, Liyan
    Ao, Lei
    He, Dan
    INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2022, 36 (11) : 2823 - 2837