Modified DMC method and its realization based on BP neural networks

Author

Wanliang, Wang ; Yanwei, Zhao ; Decai, Huang ; Qidi, Wu

Author_Institution

Zhejiang Univ. of Technol., Hangzhou, China

Volume

2

fYear

2000

fDate

2000

Firstpage

847

Abstract

Presents a modified dynamic matrix control (DMC) algorithm and its realization based on BP neural networks with higher nonlinear mapping and learning ability, predictive precision is increased and the control quality is improved by this control algorithm. In addition, the predictive control algorithm is extended to nonlinear systems. The results of simulation show that this algorithm is simple and applicable; its robustness is high; the transient and steady-state quality and the oscillation of the control variable are improved

Keywords

backpropagation; neurocontrollers; nonlinear control systems; predictive control; robust control; sampled data systems; BP neural networks; control quality; learning ability; modified dynamic matrix control algorithm; nonlinear mapping; predictive precision; robustness; steady-state quality; transient quality; Automatic control; Electric variables control; Electrons; Gold; Modems; Neural networks; Nonlinear dynamical systems; Optimal control; Predictive control; Predictive models;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on

Conference_Location

Hefei

Print_ISBN

0-7803-5995-X

Type

conf

DOI

10.1109/WCICA.2000.863350

Filename

863350