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Luis J. Ricalde
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2020 – today
- 2023
- [j8]Robin F. Conchas, Edgar N. Sánchez, Luis J. Ricalde, Jesús Álvarez-Mozos, Alma Y. Alanis:
Sensor fault-tolerant control for a doubly fed induction generator in a smart grid. Eng. Appl. Artif. Intell. 117(Part): 105527 (2023) - [c12]V. Cardoso-Fernández, Luis J. Ricalde, Ali Bassam:
Computational Intelligence-Based Fault Detection in Refrigeration Systems: A Study on Enhancing System Reliability. SSCI 2023: 1730-1734
2010 – 2019
- 2018
- [c11]Sandra M. Valdivia Bautista, Eduardo Rangel-Carrillo, Marco Antonio Pérez Cisneros, Luis J. Ricalde, Miguel A. Olmos Gomez, Alma Y. Alanis, Luis A. Jimenez:
Wind Speed Time Series Forecasting Using a Neural Network Model Inspired Biologically. LA-CCI 2018: 1-5 - [c10]Oscar May-Tzuc, Ali Bassam, Luis J. Ricalde, Manuel Flota Bañuelos:
Artificial neural network model to estimate investment viability of solar plants for the industry of Jalisco, Mexico. LA-CCI 2018: 1-5 - 2015
- [j7]Juan E. Guillermo, Luis J. Ricalde Castellanos, Edgar N. Sánchez, Alma Y. Alanis:
Detection of heart murmurs based on radial wavelet neural network with Kalman learning. Neurocomputing 164: 307-317 (2015) - [j6]Manuel E. Gamez Urias, Edgar N. Sánchez, Luis J. Ricalde:
Electrical Microgrid Optimization via a New Recurrent Neural Network. IEEE Syst. J. 9(3): 945-953 (2015) - 2014
- [c9]Eduardo Rangel, Alma Y. Alanis, Luis J. Ricalde, Nancy Arana-Daniel, Carlos López-Franco:
Bio-inspired Aging Model Particle Swarm Optimization Neural Network Training for Solar Radiation Forecasting. CIARP 2014: 682-689 - 2011
- [j5]Edgar N. Sánchez, Luis J. Ricalde, Reza Langari, Danial Shahmirzadi:
Rollover Prediction and Control in Heavy Vehicles Via Recurrent High Order Neural Networks. Intell. Autom. Soft Comput. 17(1): 95-107 (2011) - [c8]Luis J. Ricalde, Glendy A. Catzin, Alma Y. Alanis, Edgar N. Sánchez:
Higher Order Wavelet Neural Networks with Kalman learning for wind speed forecasting. CIASG 2011: 60-68 - [c7]Alma Y. Alanis, Edgar N. Sánchez, Miguel Hernández-González, Luis J. Ricalde:
Discrete-time reduced order neural observer for Linear Induction Motors. CIASG 2011: 83-89 - [c6]Luis J. Ricalde, Ernesto Ordonez, Manuel Gámez, Edgar N. Sánchez:
Design of a smart grid management system with renewable energy generation. CIASG 2011: 147-150 - [c5]Manuel Gámez, Edgar N. Sánchez, Luis J. Ricalde:
Optimal operation via a recurrent neural network of a wind-solar energy system. IJCNN 2011: 2222-2228 - 2010
- [j4]Luis J. Ricalde, Braulio J. Cruz, Edgar N. Sánchez:
High Order Recurrent Neural Control for Wind Turbine with a Permanent Magnet Synchronous Generator. Computación y Sistemas 14(2) (2010) - [j3]Alma Y. Alanis, Edgar N. Sánchez, Luis J. Ricalde:
Discrete-Time Reduced Order Neural Observers for Uncertain Nonlinear Systems. Int. J. Neural Syst. 20(1): 29-38 (2010)
2000 – 2009
- 2009
- [c4]Alma Y. Alanis, Luis J. Ricalde, Edgar N. Sánchez:
High Order Neural Networks for wind speed time series prediction. IJCNN 2009: 76-80 - 2008
- [j2]Luis J. Ricalde, Edgar N. Sánchez:
Output tracking with constrained inputs via inverse optimal adaptive recurrent neural control. Eng. Appl. Artif. Intell. 21(4): 591-603 (2008) - 2004
- [c3]Edgar N. Sánchez, Luis J. Ricalde, Reza Langari, Danial Shahmirzadi:
Rollover prediction and control in heavy vehicles via recurrent neural networks. CDC 2004: 5210-5215 - 2003
- [j1]Edgar N. Sánchez, Luis J. Ricalde:
Chaos control and synchronization, with input saturation, via recurrent neural networks. Neural Networks 16(5-6): 711-717 (2003) - [c2]Luis J. Ricalde, Edgar N. Sánchez:
Inverse optimal design for trajectory tracking with input saturations via adaptive recurrent neural control. CDC 2003: 6200-6205 - 2001
- [c1]Edgar N. Sánchez, José P. Pérez, Luis J. Ricalde, Guanrong Chen:
Chaos synchronization via adaptive recurrent neural control. CDC 2001: 3536-3539
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