Accession number:20090111824526
Title:Robust self-tuning fuzzy tracker design of time-varying nonlinear systems
Authors:Hwang, Jung-Dong (1); Tsai, Zhi-Ren (2); Chen, Jian-Y.U. (1) Author affiliation:(1) Institute of Computer and Communication Engineering, Jinwen University of Science and Technology, Taipei 23154, Taiwan; (2) Department of Computer Science and
Information Electronic Engineering, Asia University, Taichung County 41354, Taiwan
Corresponding author:Hwang, J.-D.
(ditherman@just.edu.tw)
Source title:Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC
Abbreviated source title:Proc. Int. Conf. Mach. Learn. Cybern., ICMLC Volume:6
Monograph title:Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC
Issue date:2008
Publication year:2008 Pages:3354-3360
Article number:4620984 Language:English
ISBN-13:9781424420964
Document type:Conference article (CA)
Conference name:7th International Conference on Machine Learning and Cybernetics, ICMLC
Conference date:July 12, 2008 - July 15, 2008 Conference location:Kunming, China
Conference code:74802
Publisher:Inst. of Elec. and Elec. Eng. Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States Abstract:This paper presents a search strategy to identify nonlinear dynamic systems as time-varying fuzzy model by modeling
performance index. We introduce the fuzzy Lyapunov function to design the robust fuzzy tracker of the unknown nonlinear system with an H<inf>∞</inf> performance index based on the
modeling error. In addition, we propose a compound search strategy
of robust gains called conditional linear matrix inequality (CLMI) approach which was composed of the proposed improved random optimal algorithms (IROA). Moreover, the self-tuning gains are
optimized by the cost function of IROA. Finally, a chaotic example is given to illustrate the utility of the proposed design method. ©
2008 IEEE.
Number of references:12
Main heading:Learning algorithms
Controlled terms:Control theory - Cybernetics - Differential equations - Dynamical systems - Learning systems - Linear control systems - Linear matrix inequalities - Lyapunov functions - Mathematical models - Nonlinear systems - Random processes - Robot learning - Time varying systems - Tuning
Uncontrolled terms:Design methods - Improved random optimal algorithms (IROA) - Linear matrixes - Modeling errors - Nonlinear dynamic systems - Performance indices - Robust fuzzy - Search strategies - Self-tuning gains - Time-varying fuzzy model
Classification code:961 Systems Science - 731.4 System Stability - 731.5 Robotics - 744.1 Lasers, General - 921 Mathematics - 921.1 Algebra - 921.2 Calculus - 922.1 Probability Theory - 931 Classical Physics; Quantum Theory; Relativity - 731.1 Control Systems - 461.4 Ergonomics and Human Factors Engineering - 461.9 Biology - 713 Electronic Circuits - 723.5 Computer Applications - 716.3 Radio Systems and Equipment - 723 Computer Software, Data Handling and Applications - 723.4 Artificial Intelligence - 716.4 Television Systems and Equipment
DOI:10.1109/ICMLC.2008.4620984 Database:Compendex
Compilation and indexing terms, Copyright 2009 Elsevier Inc.
