Adaptive Internal Model Control

1. Front Matter

   Pages I-XIX

   PDF

2. Introduction

   • Aniruddha Datta

   Pages 1-8

3. Mathematical Preliminaries

   • Aniruddha Datta

   Pages 9-46

4. Internal Model Control Schemes

   • Aniruddha Datta

   Pages 47-58

5. On-Line Parameter Estimation

   • Aniruddha Datta

   Pages 59-79

6. Adaptive Internal Model Control Schemes

   • Aniruddha Datta

   Pages 81-96

7. Robust Parameter Estimation

   • Aniruddha Datta

   Pages 97-123

8. Robust Adaptive IMC Schemes

   • Aniruddha Datta

   Pages 125-140

9. Conclusion

   • Aniruddha Datta

   Pages 141-142

10. Back Matter

    Pages 143-153

    PDF

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.

• Internal Model Control
• adaptive control
• model
• optimization
• stability
• biochemical engineering

• Department of Electrical Engineering, Texas A & M University, College Station, USA

  Aniruddha Datta

Policies and ethics