Strategies for feedback linearisation: a dynamic neural network approach

Freddy Garces; Victor M. Becerra; Chandrasekhar Kambhampati; Kevin Warwick

Strategies for feedback linearisation: a dynamic neural network approach

Freddy Garces, Victor M. Becerra, Chandrasekhar Kambhampati, Kevin Warwick

Research output: Book/Report › Book

Abstract

Using relevant mathematical proofs and case studies illustrating design and application issues, this book demonstrates this powerful technique in the light of research on neural networks, which allow the identification of nonlinear models without the complicated and costly development of models based on physical laws

Original language	English
Place of Publication	London
Publisher	Springer
Number of pages	171
ISBN (Print)	9781852335014
Publication status	Published - 2002

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abstract = "Using relevant mathematical proofs and case studies illustrating design and application issues, this book demonstrates this powerful technique in the light of research on neural networks, which allow the identification of nonlinear models without the complicated and costly development of models based on physical laws",

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Strategies for feedback linearisation: a dynamic neural network approach

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