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GMV control of nonlinear multivariable systems

Grimble, M.J. (2004) GMV control of nonlinear multivariable systems. In: Control 2004, 2004-09-01 - 2004-09-01.

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Abstract

A Generalized Minimum Variance control law is derived for the control of nonlinear, possibly time-varying multivariable systems. The solution for the control law is original and was obtained in the time-domain using a simple operator representation of the process. The quadratic cost index involves both error and control signal costing terms. The controller obtained is simple to implement and includes an internal model of the process. In one form might be considered a nonlinear version of the Smith Predictor. However, unlike the Smith Predictor a stabilizing control law can be obtained even for some open-loop unstable processes

Item type: Conference or Workshop Item (Paper)
ID code: 39324
Keywords: gmv control, nonlinear, multivariable systems, optimal control, optimisation, minimum variance, Electrical engineering. Electronics Nuclear engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Depositing user: Pure Administrator
Date deposited: 24 Apr 2012 10:01
Last modified: 23 Sep 2017 07:43
URI: https://strathprints.strath.ac.uk/id/eprint/39324
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