Adaptive Systems have been studied for a substantial period as the logical intersection between modelling and design in control and signal processing. Because of this, adaptive systems studies need to live in these two worlds while introducing concepts of their own. These reflect the requirements to track significant system variations or to eliminate initial parameter uncertainty, all the while maintaining satisfactory transient performance. Historically, Adaptive Systems (and notably Adaptive Control) have been the subject of takeover bids by neighbouring tribes from fields such as gain-scheduling, identification, robust design or nonlinear systems. The response to this has been to add impetus to the understanding of the connections between these disciplines and adaptation, leading in turn to improvements of theory and practice. We would appear to be currently in a period where there are increasing contacts being made with fields such as Learning Systems, Computer Architectures and Identification. Rather than hostile takeovers, these have helped to expand the capability of Adaptive systems dramatically. In this IFAC Workshop on Adaptive control and Signal Processing, a wide range of papers expressing the large number of fronts on which adaptive systems are developing has been drawn together.Simulation results analysis of experiments, the solution of typical examples and rules for the implementation of different approaches are included in the text, too. The MATLAB - Toolbox for CAD of self-tuning controllers was also developed and is with a user manual a part of the ... of the output process variable y(t) for setting the controller as inthe case controller of Astrom and Hagglund (1995) with relay.
|Title||:||Adaptive systems in control and signal processing, 1998|
|Author||:||Robert R. Bitmead, Michael A. Johnson, Michael J. Grimble, International Federation of Automatic Control|
|Publisher||:||Pergamon Pr - 2000-02-11|