Adaptive Control Systems
Published in May 1991
Book
Hardback
550 pages
978-0-13-005414-2 (ISBN)
Description
This book describes the state-of-the-art of adaptive control in particular with regard to realization with digital process computers, microcomputers and personal computers. It presents the fundamental principles through the design steps, theoretical analysis, simulation studies, comparison, software and hardware realization to real applications. The first two parts cover adaptive control based on process identification and parameter estimation in discrete time and incontinuous time. The authors then go on to discuss model reference adaptive control, adaptive control of multivariable processes and the adaptive control of nonlinear processes. Finally, adaptive control applications for different industrial processes with process computers, microcomputer and personal computers are introduced.
More details
Series
Language
English
Place of publication
Harlow
United Kingdom
Publishing group
Pearson Education Limited
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 236 mm
Width: 152 mm
Weight
928 gr
ISBN-13
978-0-13-005414-2 (9780130054142)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
I. Isermann | K.H. Lachmann | D. Matko
Adaptive Control Systems
Book
01/1993
Prentice-Hall
€43.27
Article is exhausted; no reprint
Persons
Content
Introduction; different approaches to adaptive control; on-line identification of dynamic processes and stochastic signals; controller design; parameter adaptive control; nonparametric adaptive control; model reference control with local parameter optimization; globally stable model reference adaptive control; on-line identification methods for the continuous time models; parameter adaptive control systems basd on continous-time process models; convergence of recursive estimators; stability of parameter adaptive control; robustness in parameter adaptive control; process models for multivariable processes; multivariable control algorithms; nonlinear process models; nonlinear controller design; application of suitable combinations to simulated processes; adaptive control of different processes.