
Adaptive Internal Model Control
Aniruddha Datta(Author)
Springer (Publisher)
Published on 25. September 1998
Book
Hardback
XIX, 153 pages
978-3-540-76252-2 (ISBN)
Description
Adaptive Internal Model Control
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 successfully brings the latest 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 synthesise 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.
More details
Series
Edition
1998 ed.
Language
English
Place of publication
London
United Kingdom
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
XIX, 153 p.
Dimensions
Height: 23.5 cm
Width: 15.5 cm
Weight
940 gr
ISBN-13
978-3-540-76252-2 (9783540762522)
DOI
10.1007/978-0-85729-331-2
Schweitzer Classification
Other editions
Additional editions


Aniruddha Datta
Adaptive Internal Model Control
Book
11/2012
Springer
€106.99
Shipment within 15-20 days
Content
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.