Advanced Methods in Adaptive Control for Industrial Applications
Published on 27. May 1991
Book
Paperback/Softback
X, 335 pages
978-3-540-53835-6 (ISBN)
Description
This volume is based on a seminar concerned with advanced methods in adaptive control for industrial applications which was held in Prague in May 1990 and which brought together experts in the UK and Czechoslovakia in order to suggest solutions to specific current and anticipated problems faced by industry. A number of contributions were also aimed at reflecting possible trends in the more distant future, by looking in depth at more specific issues. While the papers included in the volume are of a research or application nature, two or three can also be utilized in a tutorial mode. The aspects of adaptive control considered are viewed from the point of view of real time implementation and system resilience. The book is intended for the use of academics in the above fields and to industrialists.
More details
Series
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
X, 335 p.
Dimensions
Height: 24.4 cm
Width: 17 cm
Weight
681 gr
ISBN-13
978-3-540-53835-6 (9783540538356)
DOI
10.1007/BFb0003807
Schweitzer Classification
Content
Adaptation of LQG control design to engineering needs.- Adaptation and robustness.- Digital controllers for SKODA rolling mills.- An expert system as a controller and its closed loop behaviour.- H? robust generalized minimum variance self-tuning controller.- Gnostical approach to robust control.- True digital control: A unified design procedure for linear sampled data control systems.- Polynomial LQ synthesis for self-tuning control.- Numerical analysis of diophantine equations.- Simple predictive LQ controller design.- Toward higher software effectiveness in the field of adaptive control.- Novel control architectures.- Process estimation: Linear adaptive algorithms and neural networks.- Towards more credible self-tuners ....- Theory and implementation of paper cross profile adaptive control.- Case studies in application of stochastic control theory.- Design of a multivariable self-tuning controller for a class of distributed parameter systems.- Intelligent parallel control.- Signal-based algorithms for self-tuning regulators easily implementable on single-board microcomputers.- Self-tuning control of robot manipulators.- Preliminary tuning of selftuners.- Adaptive control algorithm for time-variant processes.- Algorithms for conversion between the continuous-time models of linear systems and the discrete-time ones.