This reference/text discusses the structure and concepts of multivariable control systems, offering a balanced presentation of theory, algorithm development, and methods of implementation.;The book contains a powerful software package - L.A.S (Linear Algebra and Systems) which provides a tool for ve
An Expert Systems Approach to Computer-Aided Design of Multivariable Systems
β Scribed by Dr. Grantham K. H. Pang, Professor Alistair G. J. MacFarlane (eds.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 1987
- Tongue
- English
- Leaves
- 334
- Series
- Lecture Notes in Control and Information Sciences 89
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Introduction....Pages 1-10
Use of expert systems for control system design....Pages 11-14
Indicators of stability, performance and robustness....Pages 15-39
The primary indicators for interactive design....Pages 40-47
Simple design technique....Pages 48-92
Reverse frame alignment design technique....Pages 93-188
An observer-based approach to design....Pages 189-256
Development of an expert system for multivariable control system design using a systematic design approach....Pages 257-280
Conclusions....Pages 281-283
β¦ Subjects
Control Engineering; Artificial Intelligence (incl. Robotics); Systems Theory, Control; Calculus of Variations and Optimal Control; Optimization; Computer-Aided Engineering (CAD, CAE) and Design
π SIMILAR VOLUMES
<p>The purpose of this research monograph is to utilize algebraic and systems theory for the structure analysis and design of multivariable control systems described by state-space representations and matrix fraction descriptions. A unified approach characterizing the dynamics of a system through th
Multivariable control techniques solve issues of complex specification and modelling errors elegantly but the complexity of the underlying mathematics is much higher than presented in traditional single-input, single-output control courses. Multivariable Control Systems focuses on control design wit
<p><P>Multivariable control techniques solve issues of complex specification and modelling errors elegantly but the complexity of the underlying mathematics is much higher than presented in traditional single-input, single-output control courses.</P><P><EM>Multivariable Control Systems</EM> focuses
Multivariable control techniques solve issues of complex specification and modelling errors elegantly but the complexity of the underlying mathematics is much higher than presented in traditional single-input, single-output control courses. Multivariable Control Systems focuses on control design wit