Adaptive Inverse Control under (h,ø)-Entropy Criterion

Author

Chen, Badong ; Hu, Jinchun ; Li, Hongbo ; Sun, Zengqi

Author_Institution

Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing

fYear

2006

fDate

7-9 June 2006

Firstpage

1

Lastpage

5

Abstract

Recent research suggested that the error entropy (EE) criteria could be used to achieve a better error distribution in estimation, adaptation and learning. In this paper, we formulated the adaptive inverse control under a generalized error entropy criterion, i.e. (h, ø)-entropy criterion, and derived the associated error-entropy minimization algorithm. Several detailed schemes of adaptive filtering and inverse control under (h, ø)-entropy criterion were also presented. Finally, a simple simulation example has illustrated the effectiveness and advantages of this new method.

Keywords

adaptive control; adaptive filters; entropy; gradient methods; inverse problems; minimisation; stochastic processes; adaptive algorithm; adaptive filtering; adaptive inverse control; error entropy criterion; error-entropy minimization; stochastic information gradient; Adaptive algorithm; Adaptive control; Computer errors; Entropy; Error correction; Least squares approximation; Minimization methods; Programmable control; Signal processing algorithms; Stochastic processes; (h,ø)-entropy; adaptive algorithm; adaptive inverse control; stochastic information gradient;

fLanguage

English

Publisher

ieee

Conference_Titel

Cybernetics and Intelligent Systems, 2006 IEEE Conference on

Conference_Location

Bangkok

Print_ISBN

1-4244-0023-6

Type

conf

DOI

10.1109/ICCIS.2006.252273

Filename

4017832