Title :
State space stability analysis of unconstrained decentralized model predictive control systems
Author :
Vaccarini, Massimo ; Longhi, Sauro ; Katebi, Reza
Author_Institution :
D.I.I.G.A., Univ. Politecnica delle Marche, Ancona
Abstract :
This paper analyzes stability properties of a decentralized MPC strategy. Assuming that control agents can exchange information with each other only once for every sampling interval, stability conditions on model and controller matrices are derived for the unconstrained case. Stability properties are analyzed either from a local or a global point of view and a comparison between the decentralized and the centralized control is introduced
Keywords :
decentralised control; matrix algebra; predictive control; stability; state-space methods; controller matrices; sampling interval; stability conditions; state space stability analysis; unconstrained decentralized model predictive control systems; Centralized control; Distributed control; Electric variables control; Optimal control; Predictive control; Predictive models; Process control; Sampling methods; Stability analysis; State-space methods;
Conference_Titel :
American Control Conference, 2006
Conference_Location :
Minneapolis, MN
Print_ISBN :
1-4244-0209-3
Electronic_ISBN :
1-4244-0209-3
DOI :
10.1109/ACC.2006.1655347
