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Published **1982**
by Institute of Measurement and Control in London .

Written in English

**Edition Notes**

Contributions | Institute of Measurement and Control. |

ID Numbers | |
---|---|

Open Library | OL14376750M |

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 the. However, the impact of these developments on the process industries has been purpose of Multivariable System Identification for Process Control is to bridge the gap between theory and application, and to provide industrial solutions, based on sound scientific theory, to process identification problems. The book is structured to cover the main steps in the design of multivariable control systems, providing a complete view of the multivariable control design methodology, with case studies, without detailing all aspects of the theory. Applications in model reduction, pole assignment design, modal control design for multivariable systems, parallel realizations and cascade realizations of multiport networks are illustrated. Computational algorithms and illustrative numerical examples are presented throughout the monograph.

Trends in Multidimensional Systems Theory 1 Multidimensional Systems Stability 2 Multidimensional Digital Filters 3 Multivariate Networks 9 Delay-Differential Systems 12 Stiff Differential Systems 13 Multipass Processes 15 Multivariate Realization Theory 15 State-space Realization Theory 16 1. Linear Multivariable Systems Emergence of State Space Approach A linear system with multiple-inputs and/or -outputs is called a linear multivariable system (or linear a MIMO system). The history of the emergence of multivariable linear control systems theory is written nicely in Pearson () describing how Kalman’s. Multivariable Control: A Geometric Approach’, by W.M. Wonham. Around , a complete theory on the disturbance decoupling problem by dynamic measurement feedback became available. A central role in this theory is played by the geomet-ric (i.e., linear algebraic) properties of the coefﬁcient matrices appearing in the sys-tem equations. Earlier works on system theory can be traced into biology and social sciences fields. 24 K. M. Adams () mentions that there is no universal definition for systems theory due to its application.

Multivariable Control Systems focuses on control design with continual references to the practical aspects of implementation. While the concepts of multivariable control are justified, the book emphasises the need to maintain student interest and motivation Reviews: 2. ariable Calculus ry Di erential Equations Assets: (useful but not required) x Variables, ts of (Real) Analysis, courses in Physics, Chemistry etc using PDEs (taken previously or now). 1. Multivariable Calculus Di erential calculus (a) Partial Derivatives (rst, higher order), di erential, gradient, chain rule;. This book on stability theory and robustness will interest researchers and advanced graduate Stability and Robustness of Multivariable Feedback Systems It will also appeal to mathematicians who are involved in applications of functional analysis to engineering book provides a methodology for the rigorous treatment of such. Another origi n of systems theory came fro m cybernetic systems theory in mechan i- cal engineering (Ashby, ; Wiener, ). e term cybernet ics refers to control and communication in the.

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