
Adaptive Internal Model Control
Aniruddha Datta(Author)
Springer (Publisher)
Published on 8. November 2012
Book
Paperback/Softback
XIX, 153 pages
978-1-4471-1042-2 (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
Softcover reprint of the original 1st ed. 1998
Language
English
Place of publication
London
United Kingdom
Target group
Professional and scholarly
Research
Product notice
Paperback (trade)
Unsewn / adhesive bound
Illustrations
XIX, 153 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 10 mm
Weight
277 gr
ISBN-13
978-1-4471-1042-2 (9781447110422)
DOI
10.1007/978-0-85729-331-2
Schweitzer Classification
Other editions
Additional editions


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.