Adaptive Internal Model Control

✍ Scribed by Aniruddha Datta PhD (auth.)

• Publisher: Springer-Verlag London
• Year: 1998
• Tongue: English
• Leaves: 165
• Series: Advances in Industrial Control
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages I-XIX
Introduction....Pages 1-8
Mathematical Preliminaries....Pages 9-46
Internal Model Control Schemes....Pages 47-58
On-Line Parameter Estimation....Pages 59-79
Adaptive Internal Model Control Schemes....Pages 81-96
Robust Parameter Estimation....Pages 97-123
Robust Adaptive IMC Schemes....Pages 125-140
Conclusion....Pages 141-142
Back Matter....Pages 143-153

✦ Subjects

Biochemical Engineering; Control; Industrial Chemistry/Chemical Engineering; Simulation and Modeling