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- Title
Adaptive state estimation of Markov switched neural networks driven by Lévy noise.
- Authors
Tong, Dongbing; Chen, Qiaoyu; Zhou, Wuneng; Xu, Yuhua
- Abstract
This paper proposes the M -matrix method to achieve state estimation in Markov switched neural networks with Lévy noise, and the method is very distinct from the linear matrix inequality technique. Meanwhile, in light of the Lyapunov stability theory, some sufficient conditions of the exponential stability are derived for delayed neural networks, and the adaptive update law is obtained. An example verifies the condition of state estimation and confirms the effectiveness of results.
- Subjects
SWITCHING systems (Telecommunication); LINEAR matrix inequalities; EXPONENTIAL stability; LYAPUNOV stability; NOISE
- Publication
Transactions of the Institute of Measurement & Control, 2020, Vol 42, Issue 2, p330
- ISSN
0142-3312
- Publication type
Article
- DOI
10.1177/0142331219869472