Adaptive Internal Model Control is a methodology for the design & analysis of adaptive internal model control schemes with provable guarantees of stability & 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. The book enables the reader to synthesize adaptive versions of his or her own favorite 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 guarantees of stability & robustness. Contents: Introduction.- Mathematical Preliminaries.- Internal Model Control Schemes.

- On-Line Parameter Estimation.- Adaptive Internal Model Control Schemes.- Robust Parameter Estimation.- Robust Adaptive IMC Schemes.- Conclusion.- Appendices.