DocumentCode
321170
Title
Stability constrained model predictive control for nonlinear systems
Author
Cheng, Xu ; Krogh, Bruce H.
Author_Institution
Process Control Div., Westinghouse Electr. Corp., Pittsburgh, PA, USA
Volume
3
fYear
1997
fDate
10-12 Dec 1997
Firstpage
2091
Abstract
A new method for nonlinear model predictive control with guaranteed stability is proposed as an extension to the stability constrained model predictive control (SCMPC) for linear time-invariant systems. The method applies to a class of nonlinear systems that can be transformed to a controllable companion form and depends on the existence of a nonlinear deadbeat control (although this is not necessarily the control that is used). Asymptotic stability is proved for the case when all state variables are measurable
Keywords
nonlinear control systems; predictive control; stability; asymptotic stability; guaranteed stability; linear time-invariant systems; nonlinear deadbeat control; nonlinear systems; stability constrained model predictive control; Asymptotic stability; Chemical industry; Control systems; Electrical equipment industry; Industrial control; Nonlinear control systems; Nonlinear systems; Predictive control; Predictive models; Process control;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location
San Diego, CA
ISSN
0191-2216
Print_ISBN
0-7803-4187-2
Type
conf
DOI
10.1109/CDC.1997.657075
Filename
657075
Link To Document