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Robust adaptive control via neural linearization and compensation
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نویسنده
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rodríguez r.c. ,yu w.
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منبع
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journal of control science and engineering - 2012 - دوره : 2012 - شماره : 0
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چکیده
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We propose a new type of neural adaptive control via dynamic neural networks. for a class of unknown nonlinear systems,a neural identifier-based feedback linearization controller is first used. dead-zone and projection techniques are applied to assure the stability of neural identification. then four types of compensator are addressed. the stability of closed-loop system is also proven. copyright © 2012 roberto carmona rodrguez and wen yu.
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آدرس
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departamento de control automatico,cinvestav-ipn,avenue.ipn 2508,07360 mexico city, Mexico, departamento de control automatico,cinvestav-ipn,avenue.ipn 2508,07360 mexico city, Mexico
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Authors
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