Some examples for the decentralized receding horizon control

Author

Acar, Levent

Author_Institution

Dept. of Electr. Eng., Missouri Univ., Rolla, MO, USA

fYear

1992

fDate

1992

Firstpage

1356

Abstract

In the control of industrial processes, the use of finite-horizon quadratic cost criteria is becoming more popular. One type of control, which is called the predictive or the receding horizon control, utilizes finite-horizon optimization methods to obtain an infinite-horizon control. In this type of control, the horizon is constantly rolled back, and the control is constantly updated to reflect the possible changes in the system. This approach is most suited for applications in which future values are unpredictable, unreliable, or time varying. Examples of a receding horizon control are considered for decentralized systems. The performance of the decentralized receding horizon control for time-invariant and time-varying systems with different updating intervals is examined

Keywords

control system synthesis; decentralised control; feedback; large-scale systems; minimisation; multivariable control systems; optimal control; predictive control; time-varying systems; decentralized receding horizon control; finite-horizon optimization; finite-horizon quadratic cost criteria; infinite-horizon control; interconnected system; optimal control; predictive control; repeated minimisations; time-invariant systems; time-varying systems; Control systems; Control theory; Cost function; Costs; Covariance matrix; Industrial control; Manufacturing processes; Optimal control; Optimization methods; Process control; Time varying systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 1992., Proceedings of the 31st IEEE Conference on

Conference_Location

Tucson, AZ

Print_ISBN

0-7803-0872-7

Type

conf

DOI

10.1109/CDC.1992.371490

Filename

371490