Optimum control of sampling systems through optimized trajectory tracking

Author

Nagy, Endre

Volume

6

fYear

1997

fDate

4-6 Jun 1997

Firstpage

3897

Abstract

A new dynamic optimization method is proposed in this paper for sampled data control systems. Using the method, only parameters of the control stage computed in the preceding step are used for determination of a new point of the optimum trajectory. A multistage optimization is reduced to two-stage optimization and iteration, and thus solution of the constant sampling interval as well as variable sampling interval optimization problem can be obtained in many cases with relatively small amount of computations. Several methods are available for solution of the optimum control problem, but individual optimization procedures are suitable only for certain problems. The efficiency and advantages of the method are shown in the paper

Keywords

computational complexity; iterative methods; optimal control; sampled data systems; tracking; constant sampling interval optimization problem; dynamic optimization method; efficiency; iteration; multistage optimization; optimized trajectory tracking; optimum control; sampled data control systems; sampling systems; two-stage optimization; variable sampling interval optimization problem; Computer networks; Control systems; Design optimization; Hardware; Large-scale systems; Optimization methods; Performance analysis; Sampling methods; Timing; Trajectory;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 1997. Proceedings of the 1997

Conference_Location

Albuquerque, NM

ISSN

0743-1619

Print_ISBN

0-7803-3832-4

Type

conf

DOI

10.1109/ACC.1997.609616

Filename

609616