Overview

The acquisition of knowledge about systems and the processing of information about them are key features of modern control engineering technology. This is the theme for a volume of articles setting out the scope and content to be covered at the European Control Conference (ECC '93) in Groningen, the Netherlands. The book provides a broad overview of the field of control and a discussion of its development both from a theoretical and an engineering perspective. It contains the fully developed articles on which the plenary addresses and mini-courses of the Conference are based. Among the topics dealt with in the lectures are motion control, chemical process control, Hoo-control, design of robust controllers and learning control. The mini-courses cover differential algebra and systems, Hoo-methods in designing robust industrial controllers, and neural networks in control. Applications are discussed for problems as robotics and vision, quality control, and in the modelling, identification, and optimization of industrial processes. Research workers in the field of control and systems theory, in its broadest interpretation, will find much of interest in both their theoretical investigations and critical industrial applications.

Full Product Details

Author:   H.L. Trentelman ,  J. C. Willems
Publisher:   Birkhauser Boston Inc
Imprint:   Birkhauser Boston Inc
Edition:   1993. Corr. 2nd Printing ed.
Volume:   Vol 14
ISBN:  

9780817636708

ISBN 10:   0817636706
Pages:   448
Publication Date:   14 July 1993
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock  
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

Information, Knowledge and Control A.G.J. MacFarlane Hybrid Models for Motion Control Systems R. W. Brockett Some Control Problems in the Process Industries M. Morari Engineering Aspects of Industrial Applications of Model-Based Control Techniques and System Theory A.C.P.M. Back Towards a Joint Design of Identification and Control? M. Gevers Nonlinear State Space [MATH] Control Theory A.J. van der Schaft Learning Control and Related Problems in Infinite-Dimensional Systems Y. Yamamoto An Algebraic Approach to Linear and Nonlinear Control M. Fliess, S.T. Glad Robust Multivariable Control Using [MATH] Methods: Analysis, Design and Industrial Applications I. Postiethwaite, S. Skogestad Neural Networks for Control E.D. Sontag Neural Networks for Adaptive Control and Recursive Identification: A Theoretical Framework J.-J.E. Slotine and R.M. Sanner

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