Nonlinear adaptive wavelet control using constructive wavelet networks

被引:0
|
作者
Xu, JX [1 ]
Tan, Y [1 ]
机构
[1] Natl Univ Singapore, Dept Elect Engn, Singapore 117576, Singapore
关键词
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
In this paper, a nonlinear adaptive wavelet controller (AWC) using constructive wavelet networks is proposed for a class of general nonlinear dynamic systems. Wavelet networks are employed as a universal approximator for the highly nonlinear and non-affine dynamics. By virtue of the novel orthonormal property and multi-resolution property of wavelet networks, the structure of the nonlinear adaptive wavelet controller can be on-line adjusted constructively according to the tracking performance of the dynamic system. The orthonormal property ensures that adding a new resolution (new wavelets) does not affect the existing wavelet network that may have been well tuned. The multi-resolution property assures the improvement of the approximation precision when a new resolution is added. A coarse adaptive wavelet controller can be first constructed with a simple structure. An adaption period is introduced to specify the admissible waiting period for the tracking error to converge under the current wavelet structure. If the system fails to converge after the elapse of the admissible waiting period, a new wavelet resolution is considered to be necessary and added directly. In this manner, the adaptive wavelet controller can be easily constructed and tuned from the coarse to the fine level while retaining the closed-loop stability. It also provides an extra degree of freedom for users to make balance between the network complexity and the convergence rate.
引用
收藏
页码:624 / 629
页数:6
相关论文
共 50 条
  • [21] Adaptive sliding mode control guidance law using wavelet neural networks
    Li, Da
    DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, 2006, 13E : 1436 - 1440
  • [22] Active noise control using adaptive POLYnominal Gaussian WinOwed wavelet networks
    Akraminia, M.
    Mahjoob, M. J.
    Tatari, M.
    JOURNAL OF VIBRATION AND CONTROL, 2015, 21 (15) : 3020 - 3033
  • [23] ADAPTIVE TRACKING CONTROL FOR ROBOT MANIPULATORS USING FUZZY WAVELET NEURAL NETWORKS
    Mai, ThangLong
    Wang, YaoNan
    ThanhQuyen Ngo
    INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION, 2015, 30 (01): : 26 - 39
  • [24] Nonlinear generalized predictive control based on inverse system using wavelet networks
    Guo, J
    Chen, QW
    Hu, WL
    Xu, SY
    WAVELET ANALYSIS AND ITS APPLICATIONS (WAA), VOLS 1 AND 2, 2003, : 883 - 889
  • [25] Adaptive fuzzy wavelet network control design for nonlinear systems
    Zekri, Maryam
    Sadri, Saeed
    Sheikholeslam, Farid
    FUZZY SETS AND SYSTEMS, 2008, 159 (20) : 2668 - 2695
  • [26] Adaptive fuzzy wavelet control for a class of uncertain nonlinear systems
    Wang, Jun
    Peng, Hong
    Chen, Yan-Yun
    Song, Zhi-Qiang
    PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2006, : 288 - +
  • [27] Identification of synchronous generators using adaptive wavelet networks
    Karrari, M
    Malik, OP
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2005, 27 (02) : 113 - 120
  • [28] Dynamic Modeling of Nonlinear Systems Using Wavelet Networks
    Hassouneh, Wissam
    Dhaouadi, Rached
    Al-Assaf, Yousef
    JOURNAL OF ROBOTICS AND MECHATRONICS, 2008, 20 (01) : 178 - 187
  • [29] Identification of nonlinear systems using Haar wavelet networks
    Chang, S
    Nam, BH
    COMPUTATIONAL INTELLIGENCE FOR MODELLING, CONTROL & AUTOMATION - NEURAL NETWORKS & ADVANCED CONTROL STRATEGIES, 1999, 54 : 208 - 213
  • [30] ADAPTIVE CONTROL FOR MIMO UNCERTAIN NONLINEAR SYSTEMS USING RECURRENT WAVELET NEURAL NETWORK
    Lin, Chih-Min
    Ting, Ang-Bung
    Hsu, Chun-Fei
    Chung, Chao-Ming
    INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, 2012, 22 (01) : 37 - 50