DocumentCode
2820165
Title
NGMV control of state dependent multivariable systems
Author
Grimble, M.J. ; Pang, Yan
Author_Institution
Univ. of Sfrathclyde, Glasgow
fYear
2007
fDate
12-14 Dec. 2007
Firstpage
1628
Lastpage
1633
Abstract
A nonlinear generalized minimum variance control law is derived for the control of nonlinear multivariable systems. The solution for the control law is obtained using a model for the process that includes three different types of subsystem to provide a variety of means of modeling the system. These may not all be present. The first subsystem involves a nonlinear operator of very general form. The second is a state dependent, state equation model of the plant and finally a linear state-equation model represents the output subsystem, disturbance and reference models. The process is assumed to include common delays in input or output channels of magnitude k. The quadratic like cost index involves state, error and control signal costing terms. The controller obtained is simple to implement, particularly in one form, which might be considered a nonlinear state-dependent version of the Smith predictor.
Keywords
control system synthesis; multivariable control systems; nonlinear control systems; Smith predictor; cost index; linear state equation model; nonlinear generalized minimum variance control law; nonlinear multivariable systems; state dependent multivariable systems; Control systems; Costing; Costs; Error correction; Kalman filters; MIMO; Nonlinear control systems; Nonlinear equations; Optimal control; Weight control;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2007 46th IEEE Conference on
Conference_Location
New Orleans, LA
ISSN
0191-2216
Print_ISBN
978-1-4244-1497-0
Electronic_ISBN
0191-2216
Type
conf
DOI
10.1109/CDC.2007.4434359
Filename
4434359
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