Adaptive control of nonlinear black-box systems based on Universal Learning Networks

Jinglu Hu, Kotaro Hirasawa, Junichi Murata, Masanao Ohbayashi, Kousuke Kumamaru

研究成果: Paper

抜粋

This paper presents an adaptive control scheme for nonlinear black-box systems based on the use of Universal Learning Networks (ULN). A ULN nonlinear controller is constructed in a similar way to linear stochastic control theory. In the obtained ULN controller, some node functions are known, while others are unknown. Each unknown node function is re-parameterized using an adaptive fuzzy model. A robust adaptive algorithm is developed to adjust the unknown parameters in the controller. The effectiveness of the proposed control scheme is examined via numerical simulations.

元の言語English
ページ2453-2458
ページ数6
出版物ステータスPublished - 1998 1 1
イベントProceedings of the 1998 IEEE International Joint Conference on Neural Networks. Part 1 (of 3) - Anchorage, AK, USA
継続期間: 1998 5 41998 5 9

Other

OtherProceedings of the 1998 IEEE International Joint Conference on Neural Networks. Part 1 (of 3)
Anchorage, AK, USA
期間98/5/498/5/9

    フィンガープリント

ASJC Scopus subject areas

  • Software

これを引用

Hu, J., Hirasawa, K., Murata, J., Ohbayashi, M., & Kumamaru, K. (1998). Adaptive control of nonlinear black-box systems based on Universal Learning Networks. 2453-2458. 論文発表場所 Proceedings of the 1998 IEEE International Joint Conference on Neural Networks. Part 1 (of 3), Anchorage, AK, USA, .