Restricted structure predictive optimal control

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

The design of low-order predictive optimal controllers, that involve a multi-step cost index and future setpoint knowledge, is considered. The usual predictive controller is of high order and the aim is to develop simpler structures, suitable for applications where PID controllers might be employed. The system is assumed to be represented by a discrete-time state-space model, which is very general, and the quadratic cost-function may include dynamic cost weighting terms. Using this approach, it is straightforward to generate a much lower-order predictive controller and thereby simplify implementation. Even with a continuing improvement in computational power there are many good reasons why low-order simple controllers have advantages in real applications.
LanguageEnglish
Pages107-145
Number of pages38
JournalOptimal Control Applications and Methods
Volume25
Issue number3
DOIs
Publication statusPublished - Jul 2004

Fingerprint

Predictive Control
Optimal Control
Controller
Controllers
Discrete-time Model
PID Controller
Costs
State-space Model
Quadratic Function
Weighting
Cost Function
Simplify
Cost functions
Higher Order
Term

Keywords

  • predictive control
  • optimal control
  • restricted structure
  • control systems

Cite this

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Restricted structure predictive optimal control. / Grimble, M.J.

In: Optimal Control Applications and Methods, Vol. 25, No. 3, 07.2004, p. 107-145.

Research output: Contribution to journalArticle

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