Neural Adaptive Control Technology

Author:   Rafal Zbikowski (Cranfield Univ, Uk) ,  Kenneth J Hunt (Daimler-benz Ag, Germany)
Publisher:   World Scientific Publishing Co Pte Ltd
Volume:   15
ISBN:  

9789810225575


Pages:   356
Publication Date:   01 April 1996
Format:   Hardback
Availability:   In Print   Availability explained
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Neural Adaptive Control Technology


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Author:   Rafal Zbikowski (Cranfield Univ, Uk) ,  Kenneth J Hunt (Daimler-benz Ag, Germany)
Publisher:   World Scientific Publishing Co Pte Ltd
Imprint:   World Scientific Publishing Co Pte Ltd
Volume:   15
ISBN:  

9789810225575


ISBN 10:   9810225571
Pages:   356
Publication Date:   01 April 1996
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Part 1 Neural adaptive control technology: discrete-time neural model structures for continuous nonlinear systems - fundamental properties and control aspects, J.C. Kalkkuhl and K.J. Hunt; continuous-time local model networks, P.J. Gawthrop; nonuniform sampling approach to control systems modelling with feedforward networks, R. Zbikowski and A. Dzielinski. Part 2 Nonlinear control fundamentals for neural networks: geometric methods in nonlinear control theory - a survey, W. Respondek; local reachability and local controllability of a class of 2-D bilinear systems, T. Kaczorek; stable adaptive control of a general class of nonlinear systems, T.A. Johansen and M.M. Polycarpou. Part 3 Neural techniques and applications: process modelling with state-space neural predictors, I. Rivals et al; an approach to intelligent identification and control on nonlinear dynamic systems, applied to optimizing lean-burn engine controls, D.A. Sofge and D.L. Elliott; improved CMAC-type memories for learning control, W.S. Mischo; interpretation and analysis of empirical models identified with the ASMOD algorithm, T. Kavli and G. Lines.

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