Title :
Stable multivariable model based predictive control
Author :
Heise, Sharon A. ; Maciejowski, Jan M.
Author_Institution :
Dept. of Eng., Cambridge Univ., UK
Abstract :
The stability of model based predictive control (MBPC) is studied in a multiple-input, multiple-output framework in the presence of active state and input constraints, and implemented in both an input-output and a state space format. The constrained generalized predictive control method of Rossiter and Konvaritakis is extended from the input-output to the state space case. In this approach, stability is established by demonstrating the existence of a monotonically decreasing cost function
Keywords :
MIMO systems; feedback; optimisation; predictive control; stability; state-space methods; MIMO systems; cost function; model based predictive control; stability; stable multivariable model; state space; Constraint optimization; Control systems; Cost function; Feedback loop; Finite impulse response filter; Infinite horizon; Predictive control; Predictive models; Stability; State-space methods;
Conference_Titel :
Decision and Control, 1994., Proceedings of the 33rd IEEE Conference on
Conference_Location :
Lake Buena Vista, FL
Print_ISBN :
0-7803-1968-0
DOI :
10.1109/CDC.1994.411703
