Title :
The mixed-weights least-square stable predictive control for constrained multi-object multivariable system
Author_Institution :
Dept. of Control Sci. & Eng., Zhejiang Univ., Hangzhou, China
Abstract :
The mixed-weights least-squares (MWLS) stable generalized control algorithm for constrained multivariable system is proposed in this paper. It not only takes advantages of MWLS for single input and single output system, such as reducing the computational burden, ensuring the stability of closed system and coping with the case of an empty feasible set, but also considers the economical performance index is making use of the extra degree of freedom while regulating the output. Simulation results express the algorithm is effective.
Keywords :
MIMO systems; least squares approximations; performance index; predictive control; stability; MIMO systems; closed system; constrained multivariable system; economical performance index; generalized predictive control; mixed-weights least-squares; stability; Application software; Control systems; Economic forecasting; Industrial control; MIMO; Performance analysis; Predictive control; Predictive models; Process control; Quadratic programming;
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
DOI :
10.1109/ICMLC.2003.1259600
