Continuous-time Generalized Predictive Control based on Poisson-Laguerre models

Author

El Bahir, Lhoussain

Author_Institution

Dept. of Electr. Eng., Cadi Ayyad Univ., Marrakech, Morocco

fYear

2014

Firstpage

317

Lastpage

322

Abstract

A Generalized Continuous-time Predictive Control (CGPC) based on Poisson-Laguerre (PL) models is proposed and analyzed. The output signal predictor is obtained without truncating the McLaurin series and then no output predictor order (Ny) is needed. The used matrices integrals in the CGPC algorithm could be computed analytically. Conditions on control parameters to guarantee the stability of the closed loop are given and discussed. For this kind of models, with a non-zero control-weighting parameter the disturbances elimination is not guaranteed. This problem have been diverted by proposing another way to compute the command signal.

Keywords

closed loop systems; continuous time systems; matrix algebra; predictive control; stability; stochastic processes; CGPC; PL model; Poisson-Laguerre models; closed loop stability; command signal; continuous-time generalized predictive control; matrices integrals; nonzero control-weighting parameter; output signal predictor; Computational modeling; Equations; Irrigation; Mathematical model; Software packages; CGPC; Continuous-time systems; Poisson-Laguerre models; Predictive control;

fLanguage

English

Publisher

ieee

Conference_Titel

Complex Systems (WCCS), 2014 Second World Conference on

Print_ISBN

978-1-4799-4648-8

Type

conf

DOI

10.1109/ICoCS.2014.7060944

Filename

7060944