This paper discussed nonlinear active noise control (ANC). Some adaptive nonlinear noise control approaches using recurrent fuzzy neural networks (RFNNs) were derived. The proposed RFNNs were feed-forward fuzzy neural networks (NNs) with different local feedback connections that are used to construc
Stable adaptive control with recurrent networks
✍ Scribed by Grzegorz J. Kulawski; Mietek A. Brdyś
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 339 KB
- Volume
- 36
- Category
- Article
- ISSN
- 0005-1098
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✦ Synopsis
¹he paper describes an adaptive control scheme for uncertain nonlinear plants with unmeasurable state, based on dynamic neural networks. ¹heoretical stability analysis and simulation examples are presented.
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