Model reference predictive LQG optimal control law for SIMO systems

Author

Grimble, M.J.

Author_Institution

Dept. of Electron. & Electr. Eng., Strathclyde Univ., Glasgow, UK

Volume

37

Issue

3

fYear

1992

fDate

3/1/1992 12:00:00 AM

Firstpage

365

Lastpage

371

Abstract

The design of linear quadratic Gaussian (LQG) controllers for single-input multiple-output (SIMO) systems is considered. This includes the class of multiloop control problems which are often solved using a classical nested loop structure. Many simplifications can be achieved over the more general multivariate problem, which is important in self-tuning control applications, for example. The tracking problem allows a model-following capability to be introduced. A predictive control feature is also available which enables the future values of the set point to be taken into account, as in preprogrammed robot control

Keywords

control system synthesis; model reference adaptive control systems; optimal control; predictive control; control system synthesis; linear quadratic Gaussian; model reference predictive LQG optimal control; model-following; multiloop control; preprogrammed robot control; self-tuning control; set point; single-input multiple-output systems; tracking; Control system synthesis; Control systems; Equations; Industrial control; Interpolation; Lagrangian functions; Optimal control; Polynomials; Predictive models; Temperature control;

fLanguage

English

Journal_Title

Automatic Control, IEEE Transactions on

Publisher

ieee

ISSN

0018-9286

Type

jour

DOI

10.1109/9.119639

Filename

119639