State identification for a class of uncertain switched systems by differential neural networks-Reference-Cited by-同舟云学术

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State identification for a class of uncertain switched systems by differential neural networks

Published:2024-01-11 Issue:3 Volume:35 Page:213-248
ISSN:0954-898X
Container-title:Network: Computation in Neural Systems
language:en
Short-container-title:Network: Computation in Neural Systems

Author:

Chairez Isaac¹,Garcia-Gonzalez Alejandro²,Luviano-Juarez Alberto³

Affiliation:

1. Institute of Advanced Materials for the Sustainable Manufacturing, Tecnologico de Monterrey, Zapopan, Jalisco, México

2. Medical School, Tecnologico de Monterrey institution, Zapopan, Jalisco, México

3. SEPI, UPIITA-Instituto Politécnico Nacional, México City México

Funder

Challenge-Based Research Funding Program 2022

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/0954898X.2023.2296115

Reference41 articles.

1. Matrix Algebra

2. Virtual gravity and coupling control for robotic gait synthesis

3. A Novel Gait Generation for Biped Walking Robots Based on Mechanical Energy Constraint

4. Optimal control of impulsive hybrid systems

5. Back AD, Chen TP. 1998. Approximation of hybrid systems by neural networks. 1997 International Conference on Neural Information Processing and Intelligent Information Systems; Sep 1997; Dunedin, New Zealand. Singapore: Springer.

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