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|a eng
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| 100 |
1 |
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|a Wang, Wei-Yen
|e verfasserin
|4 aut
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| 245 |
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|a An online GA-based output-feedback direct adaptive fuzzy-neural controller for uncertain nonlinear systems
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|c 2004
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| 336 |
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|a Text
|b txt
|2 rdacontent
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| 337 |
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|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
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| 338 |
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|a Band
|b nc
|2 rdacarrier
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| 500 |
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|a Date Completed 15.10.2004
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|a Date Revised 08.11.2019
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|a published: Print
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|a Citation Status PubMed-not-MEDLINE
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|a In this paper, we propose a novel design of a GA-based output-feedback direct adaptive fuzzy-neural controller (GODAF controller) for uncertain nonlinear dynamical systems. The weighting factors of the direct adaptive fuzzy-neural controller can successfully be tuned online via a GA approach. Because of the capability of genetic algorithms (GAs) in directed random search for global optimization, one is used to evolutionarily obtain the optimal weighting factors for the fuzzy-neural network. Specifically, we use a reduced-form genetic algorithm (RGA) to adjust the weightings of the fuzzy-neural network. In RGA, a sequential-search -based crossover point (SSCP) method determines a suitable crossover point before a single gene crossover actually takes place so that the speed of searching for an optimal weighting vector of the fuzzy-neural network can be improved. A new fitness function for online tuning the weighting vector of the fuzzy-neural controller is established by the Lyapunov design approach. A supervisory controller is incorporated into the GODAF controller to guarantee the stability of the closed-loop nonlinear system. Examples of nonlinear systems controlled by the GODAF controller are demonstrated to illustrate the effectiveness of the proposed method
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|a Journal Article
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1 |
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|a Cheng, Chih-Yuan
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Leu, Yih-Guang
|e verfasserin
|4 aut
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| 773 |
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8 |
|i Enthalten in
|t IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society
|d 1997
|g 34(2004), 1 vom: 13. Feb., Seite 334-45
|w (DE-627)NLM098252887
|x 1083-4419
|7 nnns
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| 773 |
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|g volume:34
|g year:2004
|g number:1
|g day:13
|g month:02
|g pages:334-45
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|a AR
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| 952 |
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|d 34
|j 2004
|e 1
|b 13
|c 02
|h 334-45
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