Control with disturbance preview and online optimization

Author

Jarvis-Wloszek, Zachary ; Philbrick, Douglas ; Kaya, M. Alpay ; Packard, Andrew ; Balas, Gary

Author_Institution

Dept. of Mech. Eng., Univ. of California, Berkeley, CA, USA

Volume

49

Issue

2

fYear

2004

Firstpage

266

Lastpage

270

Abstract

We present a intuitive and self-contained formulation of a stability preserving receding horizon control strategy for a system where limited preview information is available for the disturbances. The simplicity of the derivation is due to (and its benefits somewhat offset by) a set of stringent and highly structured assumptions. The formulation uses a suboptimal value function for terminal cost, and relies on optimization strategies that only require a trivial improvement property, allowing implementation as an "anytime" algorithm. The nature of this strategy\´s performance is clarified with linear examples.

Keywords

closed loop systems; discrete systems; nonlinear control systems; optimisation; predictive control; stability; closed-loop system stability; discrete nonlinear dynamic system; disturbance preview; exogenous signals; microprocessors; model predictive control; online optimization; optimization strategies; receding horizon control strategy; suboptimal value function; terminal cost; tracking commands; Adaptive control; Control systems; Delay; Differential equations; Feedback; Geometry; Reactive power; State estimation; State-space methods;

fLanguage

English

Journal_Title

Automatic Control, IEEE Transactions on

Publisher

ieee

ISSN

0018-9286

Type

jour

DOI

10.1109/TAC.2003.822876

Filename

1266785