Robust feedback error learning method for controller design of nonlinear systems

Hongping Chen, Kotaro Hirasawa, Takayuki Furuzuki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a new robust controller design method for nonlinear system based on feedback error learning (FEL) method and higher order derivatives of Universal Learning Networks (ULNs). Our idea is to make an inverse model robust to signal noise by adding the sensitivity terms to the standard criterion function. Through feedback error learning, the sensitivity term can be minimized as well as usual criterion functions using the higher order derivatives of ULNs. As a result, it is confirmed by using simulation results that NNC robust against signal noise can be obtained.

Original languageEnglish
Title of host publicationIEEE International Conference on Neural Networks - Conference Proceedings
Pages1835-1840
Number of pages6
Volume3
DOIs
Publication statusPublished - 2004
Event2004 IEEE International Joint Conference on Neural Networks - Proceedings - Budapest
Duration: 2004 Jul 252004 Jul 29

Other

Other2004 IEEE International Joint Conference on Neural Networks - Proceedings
CityBudapest
Period04/7/2504/7/29

Fingerprint

Nonlinear systems
Derivatives
Feedback
Controllers

ASJC Scopus subject areas

  • Software

Cite this

Chen, H., Hirasawa, K., & Furuzuki, T. (2004). Robust feedback error learning method for controller design of nonlinear systems. In IEEE International Conference on Neural Networks - Conference Proceedings (Vol. 3, pp. 1835-1840) https://doi.org/10.1109/IJCNN.2004.1380888

Robust feedback error learning method for controller design of nonlinear systems. / Chen, Hongping; Hirasawa, Kotaro; Furuzuki, Takayuki.

IEEE International Conference on Neural Networks - Conference Proceedings. Vol. 3 2004. p. 1835-1840.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chen, H, Hirasawa, K & Furuzuki, T 2004, Robust feedback error learning method for controller design of nonlinear systems. in IEEE International Conference on Neural Networks - Conference Proceedings. vol. 3, pp. 1835-1840, 2004 IEEE International Joint Conference on Neural Networks - Proceedings, Budapest, 04/7/25. https://doi.org/10.1109/IJCNN.2004.1380888
Chen H, Hirasawa K, Furuzuki T. Robust feedback error learning method for controller design of nonlinear systems. In IEEE International Conference on Neural Networks - Conference Proceedings. Vol. 3. 2004. p. 1835-1840 https://doi.org/10.1109/IJCNN.2004.1380888
Chen, Hongping ; Hirasawa, Kotaro ; Furuzuki, Takayuki. / Robust feedback error learning method for controller design of nonlinear systems. IEEE International Conference on Neural Networks - Conference Proceedings. Vol. 3 2004. pp. 1835-1840
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