Linear and nonlinear non-minimal state space control system design

Taylor, C. James and Chotai, Arun and Tych, Wlodek (2013) Linear and nonlinear non-minimal state space control system design. In: System Identification, Environmental Modelling, and Control System Design. Springer Verlag London Ltd, pp. 559-581. ISBN 0857299735

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Abstract

This tutorial chapter uses case studies based on recent engineering applications, to re-examine the non-minimal, state variable feedback approach to control system design. We show how the non-minimal state space (NMSS) representation seems to be the natural description of a discrete-time Transfer Function, since its dimension is dictated by the complete structure of the model. This is in contrast to minimal state space descriptions, which only account for the order of the denominator and whose state variables, therefore, usually represent combinations of input and output signals. The resulting control algorithm can be interpreted as a logical extension of the conventional Proportional-Integral (PI) controller, facilitating its straightforward implementation using a standard hardware-software arrangement. Finally, the basic NMSS approach is readily extended into multivariable, model-predictive and nonlinear control systems, hence the chapter briefly discusses these areas and gives pointers to the latest research results.

Item Type:
Contribution in Book/Report/Proceedings
Additional Information:
Publisher Copyright: © 2012 Springer-Verlag London Limited.
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2200
Subjects:
ID Code:
177786
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Deposited On:
25 Oct 2022 14:00
Refereed?:
No
Published?:
Published
Last Modified:
21 Nov 2022 17:50