DocumentCode :
1399032
Title :
Tracking Control for Nonaffine Systems: A Self-Organizing Approximation Approach
Author :
Wenjie Dong ; Yuanyuan Zhao ; Yiming Chen ; Farrell, J.A.
Author_Institution :
Univ. of Texas-Pan America, Edinburg, TX, USA
Volume :
23
Issue :
2
fYear :
2012
Firstpage :
223
Lastpage :
235
Abstract :
This paper considers tracking control for single-input, single-output nonaffine dynamic systems. A performance-dependent self-organizing approximation-based approach is proposed. The designer specifies a positive tracking error criterion. The self-organizing approximation-based controller then monitors the tracking performance and adds basis elements only as needed to achieve the tracking specification. Even though the system is not affine, the approach is defined such that the approximated function is independent of the control variable u. Stability is proved and the self-organization is derived in a Lyapunov-based methodology. To illustrate certain novel aspects of the proposed controller, a numerical example is included.
Keywords :
Lyapunov methods; adaptive control; approximation theory; neurocontrollers; nonlinear control systems; nonlinear dynamical systems; self-organising feature maps; tracking; Lyapunov-based methodology; adaptive nonlinear control; control variable; performance-dependent self-organizing approximation-based approach; positive tracking error criterion; single-input single-output nonaffine dynamic systems; tracking control; tracking specification; Accuracy; Approximation error; Control systems; Function approximation; Stability analysis; Vectors; Adaptive nonlinear control; locally weighted learning; nonaffine systems; self-organizing approximation;
fLanguage :
English
Journal_Title :
Neural Networks and Learning Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
2162-237X
Type :
jour
DOI :
10.1109/TNNLS.2011.2178509
Filename :
6104218
Link To Document :
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