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.

Strategies for Feedback Linearisation: A Dynamic Neural Network Approach (Advances in Industrial Control)

Warwick, Kevin

Garces, Freddy Rafael

Becerra, Victor Manuel

Kambhampati, Chandrasekhar

Reference

Springer

<p>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.</p>

Strategies for Feedback Linearisation

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