## Abstract In this paper, we extend our previous research results regarding the stabilization of recurrent neural networks from the concept of input‐to‐state stability to noise‐to‐state stability, and present a new approach to achieve noise‐to‐state stabilization in probability for stochastic recu
Output-feedback stabilization of stochastic nonlinear systems driven by noise of unknown covariance
✍ Scribed by Hua Deng; Miroslav Krstić
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 139 KB
- Volume
- 39
- Category
- Article
- ISSN
- 0167-6911
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