Adaptive Internal Model Control

Author:   Aniruddha Datta
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   1998 ed.
ISBN:  

9783540762522


Pages:   153
Publication Date:   25 September 1998
Format:   Hardback
Availability:   In Print   Availability explained
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Adaptive Internal Model Control


Overview

This work is a methodology for the design and analysis of adaptive internal model control schemes with provable guarantees of stability and robustness. Written in a self-contained tutorial fashion, this research monograph brings theoretical advances in the design of robust adaptive systems to the realm of industrial applications. It provides a theoretical basis for analytically justifying some of the reported industrial successes of existing adaptive internal model control schemes, and enables the reader to synthesize adaptive versions of their own favourite robust internal model control scheme by combining it with a robust adaptive law. The net result is that earlier empirical IMC designs can now be systematically robustified or replaced altogether by new designs with assured guarantees of stability and robustness.

Full Product Details

Author:   Aniruddha Datta
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   1998 ed.
Dimensions:   Width: 15.50cm , Height: 1.10cm , Length: 23.50cm
Weight:   0.940kg
ISBN:  

9783540762522


ISBN 10:   3540762523
Pages:   153
Publication Date:   25 September 1998
Audience:   College/higher education ,  Professional and scholarly ,  General/trade ,  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

1. Introduction.- 2. Mathematical Preliminaries.- 3. Internal Model Control Schemes.- 4. On-line Parameter Estimation.- 5. Adaptive Internal Model Control Schemes.- 6. Robust Parameter Estimation.- 7. Robust Adaptive IMC Schemes.- 8. Conclusion.- A. The YJBK Parametrization of All Stabilizing Controllers.- B. Optimization Using the Gradient Method.

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