Luis J. Ricalde

Orcid: 0000-0001-5824-1454

According to our database1, Luis J. Ricalde authored at least 20 papers between 2001 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Sensor fault-tolerant control for a doubly fed induction generator in a smart grid.
Eng. Appl. Artif. Intell., 2023

Computational Intelligence-Based Fault Detection in Refrigeration Systems: A Study on Enhancing System Reliability.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

2018
Artificial neural network model to estimate investment viability of solar plants for the industry of Jalisco, Mexico.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2018

Wind Speed Time Series Forecasting Using a Neural Network Model Inspired Biologically.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2018

2015
Electrical Microgrid Optimization via a New Recurrent Neural Network.
IEEE Syst. J., 2015

Detection of heart murmurs based on radial wavelet neural network with Kalman learning.
Neurocomputing, 2015

2014
Bio-inspired Aging Model Particle Swarm Optimization Neural Network Training for Solar Radiation Forecasting.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014

2011
Rollover Prediction and Control in Heavy Vehicles Via Recurrent High Order Neural Networks.
Intell. Autom. Soft Comput., 2011

Optimal operation via a recurrent neural network of a wind-solar energy system.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Design of a smart grid management system with renewable energy generation.
Proceedings of the IEEE Symposium on Computational Intelligence Applications In Smart Grid, 2011

Higher Order Wavelet Neural Networks with Kalman learning for wind speed forecasting.
Proceedings of the IEEE Symposium on Computational Intelligence Applications In Smart Grid, 2011

Discrete-time reduced order neural observer for Linear Induction Motors.
Proceedings of the IEEE Symposium on Computational Intelligence Applications In Smart Grid, 2011

2010
Discrete-Time Reduced Order Neural Observers for Uncertain Nonlinear Systems.
Int. J. Neural Syst., 2010

High Order Recurrent Neural Control for Wind Turbine with a Permanent Magnet Synchronous Generator.
Computación y Sistemas, 2010

2009
High Order Neural Networks for wind speed time series prediction.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
Output tracking with constrained inputs via inverse optimal adaptive recurrent neural control.
Eng. Appl. Artif. Intell., 2008

2004
Rollover prediction and control in heavy vehicles via recurrent neural networks.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

2003
Chaos control and synchronization, with input saturation, via recurrent neural networks.
Neural Networks, 2003

Inverse optimal design for trajectory tracking with input saturations via adaptive recurrent neural control.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

2001
Chaos synchronization via adaptive recurrent neural control.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001


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