Distributed model predictive control of dynamically decoupled linear systems with coupled cost

Author

Wang, Chen ; Ong, Chong-Jin ; Sim, Melvyn

Author_Institution

Dept. of Mech. Eng., Nat. Univ. of Singapore & Singapore-MIT Alliance, Singapore, Singapore

fYear

2009

fDate

15-18 Dec. 2009

Firstpage

5420

Lastpage

5425

Abstract

This paper considers the distributed model predictive control of a number of interacting subsystems with decoupled dynamics and constraints but coupled overall cost. This paper introduces a constraint to ensure asymptotic stability of the overall system with no disturbances. When additive disturbances are present, the state of each system converges to the minimal disturbance invariant set of each individual system. The approach is demonstrated via several numerical examples.

Keywords

asymptotic stability; invariance; linear systems; predictive control; set theory; asymptotic stabiity; distributed model predictive control; disturbance invariant set; dynamically decoupled linear systems; interacting subsystems; Asymptotic stability; Control system synthesis; Control systems; Cost function; Large-scale systems; Linear systems; Mechanical engineering; Predictive control; Predictive models; Vehicle dynamics;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on

Conference_Location

Shanghai

ISSN

0191-2216

Print_ISBN

978-1-4244-3871-6

Electronic_ISBN

0191-2216

Type

conf

DOI

10.1109/CDC.2009.5400521

Filename

5400521