Exact Takagi-Sugeno descriptor models of recurrent high-order neural networks for control applications
Author:
Funder
Consejo Nacional de Ciencia y Tecnología
PFCE ITSON
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computational Mathematics
Link
http://link.springer.com/content/pdf/10.1007/s40314-019-0998-y.pdf
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3. Ariño C, Sala A (2007) Relaxed LMI conditions for closed-loop fuzzy systems with tensor-product structure. Eng Appl Artif Intell 20(8):1036–1046
4. Armenta C, Bernal M, Hernández F, Villafuerte R (2017) Identification-based linear control of a twin rotor MIMO system via dynamical neural networks. In: 2017 14th international conference on electrical engineering. Computing science and automatic control (CCE). Mexico City, Mexico, pp 1–6
5. Armenta C, Laurain T, Estrada-Manzo V, Bernal M (2019) A novel identification-based convex control scheme via recurrent high-order neural networks: an application to the internal combustion engine. Neural Process Lett. https://doi.org/10.1007/s11063-019-10095-9
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1. LMI-Based Analysis and Stabilization of Nonlinear Descriptors with Multiple Delays via Delayed Nonlinear Controller Schemes;Mathematical Problems in Engineering;2021-03-08
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