Adaptive Control

Thoroughly revised and updated, this second edition of Adaptive Control covers new developments in the field, including multi-model adaptive control with switching, direct and indirect adaptive regulation, and adaptive feedforward disturbance compensation.

Adaptive Control (second edition) shows how a desired level of system performance can be maintained automatically and in real time, even when process or disturbance parameters are unknown and variable. It is a coherent exposition of the many aspects of this field, setting out the problems to be addressed and moving on to solutions, their practical significance and their application. Discrete-time aspects of adaptive control are emphasized to reflect the importance of digital computers in the application of the ideas presented. The second edition is thoroughly revised to throw light on recent developments in theory and applications with new chapters on: multimodel adaptive control with switching, direct and indirect adaptive regulation and adaptive feedforward disturbance compensation. Many algorithms are newly presented in MATLAB® m-file format to facilitate their employment in real systems. Classroom-tested slides for instructors to use in teaching this material are also now provided. All of this supplementary electronic material can be downloaded from fill in URL. The core material is also up-dated and re-edited to keep its perspective in line with modern ideas and more closely to associate algorithms with their applications giving the reader a solid grounding in: synthesis and analysis of parameter adaptation algorithms, recursive plant model identification in open and closed loop, robust digital control for adaptive control; • robust parameter adaptation algorithms, practical considerations and applications, including flexible transmission systems, active vibration control and broadband disturbance rejection and a supplementary introduction on hot dip galvanizing and a phosphate drying furnace. Control researchers and applied mathematicians will find Adaptive Control of significant and enduring interest and its use of example and application will appeal to practitioners working with unknown- and variable-parameter plant. Praise for the first edition:well written, interesting and easy to follow, so that it constitutes a valuable addition to the monographies in adaptive control for discrete-time linear systems suitable (at least in part) for use in graduate courses in adaptive control.

Provides the reader with a systematic and rigorous treatment of adaptive control theory for discrete-time systems Frequent illustration with examples and applications is a constant reminder of the practical nature of adaptive control Inclusion of examples and problems provides teachers with a useful source of class-teaching material Includes supplementary material: sn.pub/extras

Autorentext

Ioan Doré Landau has been Emeritus Research Director at CNRS since September 2003 and continues to collaborate with LAG INPG. His research interests encompass theory and applications in system identification, adaptive control, robust digital control and nonlinear systems. He has (co-)authored over 200 papers. He is the author of several books and holds several patents and was the origin of several software packages in control developed by ADAPTECH. He advised 35 PhD students. He has delivered a number of Plenary Talks at International Conferences. Dr. Landau received the Rufus Oldenburger Medal 2000 from ASME. He was an IEEE-CSS "Distinguished Lecturer" for 2001-2003. He has been an IFAC Fellow since 2007 and received the Life Achievement Award from MCA in 2009.

Klappentext

Adaptive Control (second edition) shows how a desired level of system performance can be maintained automatically and in real time, even when process or disturbance parameters are unknown and variable. It is a coherent exposition of the many aspects of this field, setting out the problems to be addressed and moving on to solutions, their practical significance and their application. Discrete-time aspects of adaptive control are emphasized to reflect the importance of digital computers in the application of the ideas presented.

The second edition is thoroughly revised to throw light on recent developments in theory and applications with new chapters on:

· multimodel adaptive control with switching;

· direct and indirect adaptive regulation; and

· adaptive feedforward disturbance compensation.

Many algorithms are newly presented in MATLAB ® m-file format to facilitate their employment in real systems. Classroom-tested slides for instructors to use in teaching this material are also now provided. All of this supplementary electronic material can be downloaded from www.springer.com/978-0-85729-663-4.

The core material is also up-dated and re-edited to keep its perspective in line with modern ideas and more closely to associate algorithms with their applications giving the reader a solid grounding in:

· synthesis and analysis of parameter adaptation algorithms;

· recursive plant model identification in open and closed loop;

· robust digital control for adaptive control;

· robust parameter adaptation algorithms;

· practical considerations and applications, including flexible transmission systems, active vibration control and broadband disturbance rejection and a supplementary introduction on hot dip galvanizing and a phosphate dryingfurnace.

Control researchers and applied mathematicians will find Adaptive Control of significant and enduring interest and its use of example and application will appeal to practitioners working with unknown- and variable-parameter plant.

Praise for the first edition:

well written, interesting and easy to follow, so that it constitutes a valuable addition to the monographs in adaptive control for discrete-time linear systems suitable (at least in part) for use in graduate courses in adaptive control.

Inhalt
Introduction to Adaptive Control.- Discrete-time System Models for Control.- Parameter Adaptation Algorithms: Deterministic Environment.- Parameter Adaptation Algorithms: Stochastic Environment.- Recursive Plant Model Identification in Open Loop.- Adaptive Prediction.- Digital Control Strategies.- Robust Digital Control Design.- Recursive Plant Model Identification in Closed Loop.- Robust Parameter Estimation.- Direct Adaptive Control.- Indirect Adaptive Control.- Practical Aspects and Applications.- Multimodel Adaptive Control with Switching.- Adaptive Regulation: Rejection of Unknown Disturbances.- Adaptive Feedforward Compensation of Disturbances.- Appendices: Stochastic Processes; Stability; Passive (Hyperstable) Systems; Martingales.