DocumentCode
313130
Title
Dynamic programming and model predictive control
Author
Meadows, Edward S.
Author_Institution
Dept. de Engenharia Eletrica, Pontificia Univ. Catolica do Rio Grande do Sol, Porto Alegre, Brazil
Volume
3
fYear
1997
fDate
4-6 Jun 1997
Firstpage
1635
Abstract
Presents a criterion for assessing the stability of nonlinear model predictive control (MPC). The criterion is based on the monotonicity of the MPC cost function as a function of horizon length, and is derived using dynamic programming theory in a deterministic setting
Keywords
control system analysis; dynamic programming; feedback; nonlinear control systems; optimisation; predictive control; stability criteria; cost function; deterministic setting; dynamic programming; dynamic programming theory; horizon length; model predictive control; monotonicity; stability; Constraint optimization; Control systems; Cost function; Dynamic programming; Equations; Feedback; Internet; Predictive control; Predictive models; Stability criteria;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1997. Proceedings of the 1997
Conference_Location
Albuquerque, NM
ISSN
0743-1619
Print_ISBN
0-7803-3832-4
Type
conf
DOI
10.1109/ACC.1997.610861
Filename
610861
Link To Document