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.

Provides a guarantee of stability and robustness in the design methodology - no such guarantees currently exist * Written in a clear, self-contained tutorial fashion * Appeal for both graduates and practising engineers

Klappentext

Written in a self-contained tutorial fashion, this 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 verifying some of the reported industrial successes of existing adaptive control schemes and enables readers to synthesize adaptive versions of their own robust internal model control schemes.

Inhalt

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.