Research on Improvement Algorithm of Model Free Learning Adaptive Controller

Research on Improvement Algorithm of Model Free Learning Adaptive Controller

To improve the convergence rate of model-free learning adaptive controller (MFLAC) and decrease difficulty of parameters choice in control law, a new design method of MFLAC is presented. The controller proposed in this paper is designed based on pseudo gradient concept with solution by introducing m...

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Veröffentlicht in:Applied Mechanics and Materials 2011-07, Vol.79 (Chemical, Mechanical and Materials Engineering), p.1-6
Hauptverfasser: Qin, Pin Le, Chen, Ming, Lin, Yan
Format: Artikel
Sprache:eng
Schlagworte:
Adaptive algorithms
Adaptive control
Adaptive control systems
Algorithms
Convergence
Law
Learning
Mathematical models
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Zusammenfassung:To improve the convergence rate of model-free learning adaptive controller (MFLAC) and decrease difficulty of parameters choice in control law, a new design method of MFLAC is presented. The controller proposed in this paper is designed based on pseudo gradient concept with solution by introducing multi-innovation method. In order to illustrate the effectiveness of the proposed method, numerical example is shown.
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.79.1