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Predictive Control of Nonlinear System Based on Neural Networks: Predictive Control of Nonlinear Systems Using Feedback Linearisation Based on Dynamic Neural Networks

Predictive Control of Nonlinear System Based on Neural Networks: Predictive Control of Nonlinear Systems Using Feedback Linearisation Based on Dynamic Neural Networks

Predictive Control of Nonlinear System Based on Neural Networks: Predictive
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Predictive Control of Nonlinear System Based on Neural Networks: Predictive Control of Nonlinear Systems Using Feedback Linearisation Based on Dynamic Neural Networks Paperback - 2011

by Deng, Jiamei

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  • Title Predictive Control of Nonlinear System Based on Neural Networks: Predictive Control of Nonlinear Systems Using Feedback Linearisation Based on Dynamic Neural Networks
  • Author Deng, Jiamei
  • Binding Paperback
  • Condition Used - Good
  • Pages 200
  • Volumes 1
  • Language ENG
  • Publisher LAP Lambert Academic Publishing
  • Publication date 2011-02
  • Bookseller's Inventory # 3844300090.G
  • ISBN 9783844300093 / 3844300090
  • Weight 0.66 lbs (0.30 kg)
  • Dimensions 9 x 6 x 0.46 in (22.86 x 15.24 x 1.17 cm)
  • Category Technology & Industrial Arts
  • Quantity available 1

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Reader reviews for Predictive Control of Nonlinear System Based on Neural Networks: Predictive Control of Nonlinear Systems Using Feedback Linearisation Based on Dynamic Neural Networks

From the publisher

Model predictive control (MPC) is an important industrial control technique. Most conventional MPC schemes use linear models. However, the use of linear models can result in a serious deterioration of control performance with many types of nonlinear plants. Feedback linearisation is an important nonlinear control technique which can transform a nonlinear system into a linear system. Dynamic neural networks have the ability to approximate multi-input multi-output general nonlinear systems and have the differential equation structure. This book presents a hybrid control strategy integrating dynamic neural networks and feedback linearisation into a predictive control scheme. This book can be used as a course textbook, a source for practising control engineers with an interest in nonlinear control techniques and also a reference material for academic researchers in nonlinear control theory.
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