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
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;
Conference_Titel :
American Control Conference, 1997. Proceedings of the 1997
Conference_Location :
Albuquerque, NM
Print_ISBN :
0-7803-3832-4
DOI :
10.1109/ACC.1997.610861
