Quantized Sampled-Data Control for T-S Fuzzy System Using Discontinuous LKF Approach

In this study, the stability for a class of sampled-data Takagi-Sugeno (T-S) fuzzy systems with state quantization was investigated. Using the discontinuous Lyapunov-Krasoskii functional (LKF) approach and the free-matrix-based integral inequality bounds processing technique, a stability condition w...

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Detalles Bibliográficos
Autores principales: Wang, Shenquan, Chen, Shuaiqi, Ji, Wenchengyu, Liu, Keping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6499169/
https://www.ncbi.nlm.nih.gov/pubmed/31105514
http://dx.doi.org/10.3389/fnins.2019.00372

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6499169/
https://www.ncbi.nlm.nih.gov/pubmed/31105514
http://dx.doi.org/10.3389/fnins.2019.00372

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