PUBLICACIONES EN REVISTAS
2023
Hernandez-Barragan, J., Hernandez, T., Rios, J.D., Perez-Cisneros, M., Alanis, A.Y. Edge-Weighted Consensus-Based Formation Control with Collision Avoidance for Mobile Robots Based on Multi-Strategy Mutation Differential Evolution (2023) Mathematics, 11 (17), art. no. 3633.
Hernandez-Gonzalez, M., Alanis, A.Y., Rios, J.D., Hernadez-Vargas, E.A., Exponential sliding mode controller for tracking trajectory of nonlinear systems (2023) Transactions of the Institute of Measurement and Control.
Sanchez, O.D., Martinez-Soltero, G., Alvarez, J.G., Alanis, A.Y. Real-Time Neural Classifiers for Sensor Faults in Three Phase Induction Motors (2023) IEEE Access, 11, pp. 19657-19668.
Conchas, R.F., Sanchez, E.N., Ricalde, L.J., Alvarez, J.G., Alanis, A.Y. Sensor fault-tolerant control for a doubly fed induction generator in a smart grid (2023) Engineering Applications of Artificial Intelligence, 117, art. no. 105527.
2022
Ramirez, N.F., Ríos-Rivera, D., Hernandez-Vargas, E.A., Alanis, A.Y. Inverse Optimal Impulsive Neural Control for Complex Networks Applied to Epidemic Diseases (2022) Systems, 10 (6), art. no. 204.
Sanchez, O.D., Martinez-Soltero, G., Alvarez, J.G., Alanis, A.Y. Real-Time Neural Classifiers for Sensor and Actuator Faults in Three-Phase Induction Motors (2022) Machines, 10 (12), art. no. 1198.
Zuniga, P., Gutierrez, M., Del Puerto-Flores, D., Alanis, A.Y., Uribe, F. Adaptive notch filter-based abc–dq–abc transformation (2022) Electrical Engineering, 104 (6), pp. 4005-4017.
Rodriguez-Castellanos, D., Solis-Perales, G., Alanis, A.Y., Sanchez, E.N., Chen, G., Vega, C.J. Neural pinning control for adaptive trajectory tracking of complex dynamical networks (2022) Mathematical Methods in the Applied Sciences, 45 (17), pp. 10640-10658.
Hernandez-Barragan, J., Martinez-Soltero, G., Rios, J.D., Lopez-Franco, C., Alanis, A.Y. A Metaheuristic Optimization Approach to Solve Inverse Kinematics of Mobile Dual-Arm Robots (2022) Mathematics, 10 (21), art. no. 4135.
Ríos-Rivera, D., Rios, J.D., Sanchez, O.D., Alanis, A.Y. Impulsive Pinning Control of Discrete-Time Complex Networks with Time-Varying Connections (2022) Mathematics, 10 (21), art. no. 4051.
Rios, J.D., Ríos-Rivera, D., Hernandez-Barragan, J., Pérez-Cisneros, M., Alanis, A.Y. Formation Control of Mobile Robots Based on Pin Control of Complex Networks (2022) Machines, 10 (10), art. no. 898.
Alanis, A.Y. Bioinspired Intelligent Algorithms for Optimization, Modeling and Control: Theory and Applications (2022) Mathematics, 10 (13), art. no. 2334.
Rios, Y.Y., García-Rodríguez, J.A., Sanchez, E.N., Alanis, A.Y., Ruiz-Velázquez, E., Pardo Garcia, A. Treatment for T1DM patients by a neuro-fuzzy inverse optimal controller including multi-step prediction (2022) ISA Transactions, 126, pp. 203-212.
Rico-Camacho, R.I., Ricalde, L.J., Bassam, A., Flota-Bañuelos, M.I., Alanis, A.Y. Transient Differentiation Maximum Power Point Tracker (Td-MPPT) for Optimized Tracking under Very Fast-Changing Irradiance: A Theoretical Approach for Mobile PV Applications (2022) Applied Sciences (Switzerland), 12 (5), art. no. 2671.
Rios, Y., Garcia-Rodriguez, J., Sanchez, E., Alanis, A., Ruizvelazquez, E., Pardo-Garcia, A. On Board Neuro Fuzzy Inverse Optimal Control for Type 1 Diabetes Mellitus Treatment: In-Silico Testing (2022) Advances in Electrical and Computer Engineering, 22 (3), .
2021
Sanchez, O.D., Alanis, A.Y., Ruiz Velázquez, E., Valencia Murillo, R. Neural identification of Type 1 Diabetes Mellitus for care and forecasting of risk events (2021) Expert Systems with Applications, 183, art. no. 115367,
Alanis, A.Y., Ríos-Rivera, D., Sanchez, E.N., Sanchez, O.D. Learning impulsive pinning control of complex networks (2021) Mathematics, 9 (19), art. no. 2436, .
Alanis, A.Y., Alvarez, J.G. Real-time model-free resilient control for discrete nonlinear systems (2021) Asian Journal of Control, 23 (5), pp. 2097-2111.
Hernandez-Mejia, G., Du, X., Alanis, A.Y., Hernandez-Vargas, E.A. Bounded input impulsive control for scheduling therapies (2021) Journal of Process Control, 102, pp. 34-43.
Alanis, A.Y., Sanchez, O.D., Alvarez, J.G. Time series forecasting for wind energy systems based on high order neural networks (2021) Mathematics, 9 (10), art. no. 1075,
Hernandez-Barragan, J., Lopez-Franco, C., Arana-Daniel, N., Alanis, A.Y. Inverse kinematics for cooperative mobile manipulators based on self-adaptive differential evolution (2021) PeerJ Computer Science, 7, pp. 1-30.
Cruz May, E., Bassam, A., Ricalde, L.J., Escalante Soberanis, M.A., Oubram, O., May Tzuc, O., Alanis, A.Y., Livas-García, A. Global sensitivity analysis for a real-time electricity market forecast by a machine learning approach: A case study of Mexico (2021) International Journal of Electrical Power and Energy Systems, 135, art. no. 107505, .
Rios, Y.Y., García-Rodríguez, J.A., Sanchez, E.N., Alanis, A.Y., Ruiz-Velázquez, E., Pardo Garcia, A. Treatment for T1DM patients by a neuro-fuzzy inverse optimal controller including multi-step prediction (2021) ISA Transactions, .
Hernandez-Barragan, J., Lopez-Franco, C., Arana-Daniel, N., Alanis, A.Y., Lopez-Franco, A. A modified firefly algorithm for the inverse kinematics solutions of robotic manipulators (2021) Integrated Computer-Aided Engineering, 28 (3), pp. 257-275.
Uribe, F., Lozada, E., Morales, J., Alanis, A., Arana-Daniel, N. A Numerical Technique for Breast Medical Research Based on the FSS Transform (2021) IEEE Latin America Transactions, 19 (1), art. no. 9423826, pp. 50-58.
Hernandez-Barragan, J., Rios, J.D., Gomez-Avila, J., Arana-Daniel, N., Lopez-Franco, C., Alanis, A.Y. Adaptive neural PD controllers for mobile manipulator trajectory tracking (2021) PeerJ Computer Science, 7, pp. 1-29.
Rios, Y., Garcia-Rodríguez, J., Sanchez, E., Alanis, A., Ruiz-Velázquez, E., Pardo, A. Neuro-fuzzy control for artificial pancreas: In silico development and validation [Control neuro-fuzzy para ṕancreas artificial: Desarrollo y validacíon in-silico] (2021) RIAI - Revista Iberoamericana de Automatica e Informatica Industrial, 17 (4), pp. 390-400.
2020
Alanis, A.Y., Gustavo, M.-G., Jorge, R. Super-twisting Speed Control of a Brushless Direct Current Motor with Back-EMF (2020) IEEE Latin America Transactions, 18 (12), art. no. 9400432, pp. 2055-2062.
Rios, J.D., Alanis, A.Y., Arana-Daniel, N., Lopez-Franco, C. Real-time neural observer-based controller for unknown nonlinear discrete delayed systems (2020) International Journal of Robust and Nonlinear Control, 30 (18), pp. 8402-8429.
Suarez, O.J., Vega, C.J., Sanchez, E.N., González-Santiago, A.E., Rodríguez-Jorge, O., Alanis, A.Y., Chen, G., Hernandez-Vargas, E.A. Pinning Control for the p53-Mdm2 Network Dynamics Regulated by p14ARF (2020) Frontiers in Physiology, 11, art. no. 976
G. Martinez-Soltero, A. Y. Alanis, N. Arana-Daniel and C. Lopez-Franco, Semantic Segmentation for Aerial Mapping, (2020) Mathematics, 8 (9), art. no. 1388.
Ríos-Rivera, D., Alanis, A.Y., Sanchez, E.N., Neural-impulsive pinning control for complex networks based on V-stability, (2020) Mathematics, 8 (9), art. no. 1388
Alanis, A.Y., Rios, J.D., Gomez-Avila, J., Zuniga, P., Jurado, F., Discrete-time neural control of quantized nonlinear systems with delays: Applied to a three-phase linear induction motor, (2020) Electronics (Switzerland), 9 (8), art. no. 1274, pp. 1-25.
Alanis, A.Y., Munoz-Gomez, G., Rivera, J., Nested high order sliding mode controller with back-EMF sliding mode observer for a brushless direct current motor, (2020) Electronics (Switzerland), 9 (6), art. no. 1041, pp. 1-20.
Hernandez-Barragan, J., Rios, J.D., Alanis, A.Y., Lopez-Franco, C., Gomez-Avila, J., Arana-Daniel, N., Adaptive single neuron anti-windup PID controller based on the extended Kalman filter algorithm, (2020) Electronics (Switzerland), 9 (4), art. no. 636.
Barrios-Dv, S., Lopez-Franco, M., Rios, J.D., Arana-Daniel, N., Lopez-Franco, C., Alanis, A.Y., An autonomous path controller in a system on chip for shrimp robot, (2020) Electronics (Switzerland), 9 (3), art. no. 441.
Hernandez-Mejia, G., Alanis, A.Y., Hernandez-Gonzalez, M., Findeisen, R., Hernandez-Vargas, E.A., Passivity-Based Inverse Optimal Impulsive Control for Influenza Treatment in the Host, (2020) IEEE Transactions on Control Systems Technology, 28 (1), art. no. 8632723, pp. 94-105.
2019
Vega Magdaleno, G.D., Alanís García, A.Y., Hernandez-Vargas, E.A., Learning neural impulsive MPC for tailoring therapies in viral infections, (2019), Applied Soft Computing Journal, 85, art. no. 105767
Vázquez, L.A., Jurado, F., Castañeda, C.E., Alanis, A.Y., Real-Time Implementation of a Neural Integrator Backstepping Control via Recurrent Wavelet First Order Neural Network, (2019) Neural Processing Letters, 49 (3), pp. 1629-1648.
F. Ornelas-Tellez, A.Y. Alanis and, J. D. Rios and M. Graff, “Reduced-order Observer for State-dependent Coefficient Factorized Nonlinear Systems”, Asian Journal of Control, vol. 21, no. 3, pp. 1216–1227, May 2019, ISSN:1934-6093.
C. Lopez-Franco, J. Hernandez-Barragan, A. Y. Alanis, N. Arana-Daniel, “A soft computing approach for inverse kinematics of robot manipulators”, Engineering Applications of Artificial Intelligence, 74 (2018) 104–120 (ISSN: 09521976) USA
C. Villaseñor, E. F. Gutierrez-Frias, N. Arana-Daniel, A. Y. Alanis and C. Lopez-Franco, “Parallel Crossed Chaotic Encryption for Hyperspectral Images”, Applied Sciences, vol. 8, no. 1, 2018, pp. 1-12, doi:10.3390/app8071183 (ISNN: 20763417), Switzerland.
C. Villaseñor, N. Arana-Daniel, A. Y. Alanis, C. Lopez-Franco and J. Gomez-Avila, “Multiellipsoidal Mapping Algorithm”, Applied Sciences, vol. 8, no. 1, 2018, pp. 1-12, doi:10.3390/app8081239 (ISNN: 20763417), Switzerland.
L. A. Vázquez, F. Jurado, C. E. Castañeda and A. Y. Alanis, “Real-Time Implementation of a Neural Integrator Backstepping Control via Recurrent Wavelet First Order Neural Network”, Neural Processing Letters, vol. 49, no. 3, 2019, (ISSN: 13704621) USA
2018
G. Hernandez-Mejia, A. Y. Alanis, E. A. Hernandez-Vargas, “Neural inverse optimal control for discrete-time impulsive systems” Neurocomputing, vol. 164, pp. 240-251, 2018, (ISSN: 09252312) USA
A. Lopez-Franco, A. Y. Alanis, C. Lopez-Franco, N. Arana-Daniel and M. Lopez-Franco, “Emotional system in complex cognitive activities of working memory: A literature review of its role” Journal of Integrative Neuroscience 17 (2018) 679–693 679 DOI 10.3233/JIN-180095 ISSN: 0219-6352.
O. D. Sánchez, E. Ruiz-Velázquez, A. Y. Alanís, G. Quiroz, L. Torres-Treviño, “Parameter estimation of a meal glucose–insulin model for TIDM patients from therapy historical data”, IET Systems Biology, doi: 10.1049/iet-syb.2018.5038, ISSN 1751-8849
J. Hernandez-Barragan, C. Lopez-Franco, A. Y Alanis, N. Arana-Daniel and M. Lopez-Franco, “Dual-arm cooperative manipulation based on differential evolution”, International Journal of Advanced Robotic Systems, January-February, pp. 1–20, 2019, DOI: 10.1177/1729881418825188
G. Hernandez-Mejia, A. Y. Alanis, M. Hernandez-Gonzalez, R. Findeisen and E. A. Hernandez-Vargas, “Passivity-Based Inverse Optimal Impulsive Control for Influenza Treatment in the Host”, IEEE Transactions on Control System Technology, In press, 2019, ISNN: 10636536
C. Villaseñor, N. Arana-Daniel, A. Y. Alanis, C. Lopez-Franco, E. A. Hernandez-Vargas. Germinal Center Optimization Algorithm. International Journal of Computational Intelligence Systems, vol. 12, pp.13-27, 2018, ISSN: 1875-6883
A.Y. Alanis, E. Hernandez-Vargas, G. Chen, E. N. Sanchez, Y. Hong and S. Celikovsky, “Editorial: Special issue on new trends on complex Systems: adaptation and control”, Kybernetika, vol. 54, no. 1, pp. 1-2, 2018, ISSN: 0023-5954.
C. Lopez-Franco, J. Gomez-Avila, N. Arana-Daniel and A. Y. Alanis, “Robot Pose Estimation Based on Visual Information and Particle Swarm Optimization”, Intelligent Automation and Soft Computing, vol.24, no.2, pp. 1–12, 2018
C. Lopez-Franco, J. Hernandez-Barragan, A. Y. Alanis, N. Arana-Daniel and M. Lopez-Franco, “Inverse kinematics of mobile manipulators based on differential evolution”, International Journal of Advanced Robotic Systems, January-February, pp. 1–22, 2018, DOI: 10.1177/1729881417752738
A. Y. Alanis, “Electricity Prices Forecasting using Artificial Neural Networks”, IEEE Latin America Transactions, vol. 16, no. 1, pp. 105-11, 2018.
C. Villaseñor, J. D. Rios, N. Arana-Daniel, A. Y. Alanis, C. Lopez-Franco and E. A. Hernandez-Vargas, “Germinal Center Optimization Applied to Neural Inverse Optimal Control for an All-Terrain Tracked Robot”, Applied Sciences, vol. 8, no. 1, 201, pp. 1-31, doi:10.3390/app8010031 (ISNN: 20763417), Switzerland
2017
J. D. Rios, A.Y. Alanis, C. Lopez-Franco and N. Arana-Daniel, “RHONN identifier-control scheme for nonlinear discrete-time systems with unknown time-delays”, Journal of the Franklin Institute, DOI: 10.1016/j.jfranklin.2017.11.014, 2017, (ISSN: 00160032) USA
J. D. Rios, A. Y. Alanis, N. Arana-Daniel and C. Lopez-Franco, “Recurrent High Order Neural Observer for Discrete-Time Non-Linear Systems with Unknown Time-Delay”, Neural Processing Letters, vol. 46, pp. 663–679, 2017, (ISSN: 13704621) USA
C. Lopez-Franco, J. Gomez-Avila, A. Y. Alanis, N. Arana-Daniel and C. Villaseñor, “Visual Servoing for an Autonomous Hexarotor Using a Neural Network Based PID Controller”, Sensors, 2017, 17, 1865, DOI:10.3390/s17081865 (ISSN: 14248220) Switzerland
N. Arana-Daniel, C. Villaseñor, C. Lopez-Franco, A. Y. Alanis and R. Valencia-Murillo, “Structure from Motion Using Bio-Inspired Intelligence Algorithm and Conformal Geometric Algebra”, Intelligent Automation & Soft Computing, DOI: 10.1080/10798587.2017.1299356, 2017, (ISSN: 10798587) USA
J. D. Rios, A. Y. Alanis, M. Lopez-Franco, C. Lopez-Franco and N. Arana-Daniel, “Real-time neural identification and inverse optimal control for a tracked robot”, Advances in Mechanical Engineering, vol. 9, no. 3, pp. 1-18, 2017, (ISSN: 16878140) USA
C. E. Torres-Cerna, A. Y. Alanis, I. Poblete-Castro and E. A. Hernandez-Vargas, “Batch Cultivation Model for Biopolymer Production”, Chemical and Biochemical Engineering Quarterly, vol. 31, no. 1, pp. 89-99, 2017, (ISSN: 03529568) CROATIA
V. G. Lopez, E. N. Sanchez, A. Y. Alanis and J. D. Rios, “Real-time neural inverse optimal control for a linear induction motor”, International Journal of Control, vol. 90, no. 4, pp. 800-812, 2017, (ISSN: 00207179)
2016
E. A. Lastire, E. N. Sanchez, A.Y. Alanis and F. Ornelas-Tellez, “Passivity analysis of discrete-time inverse optimal control for trajectory tracking”, Journal of the Franklin Institute, vol. 353, pp. 3192-3206, 2016, (ISSN: 00160032) USA
N. Arana-Daniel, A. A. Gallegos, C. Lopez-Franco, A. Y. Alanis, J. Morales and A. Lopez-Franco, “Support Vector Machines Trained with Evolutionary Algorithms Employing Kernel Adatron for Large Scale Classification of Protein Structures”, Evolutionary Bioinformatics, vol. 12, pp. 285–302, 2016. (ISSN: 11769343) USA
A. Y. Alanis, J. D. Rios, N. Arana-Daniel and C. Lopez-Franco, “Neural identifier for unknown discrete-time nonlinear delayed systems”, Neural Computing and Applications, vol. 27, no. 8, pp. 2453-2464, 2016, (ISSN: 09410643) USA
A. Y. Alanis, “Real-Time Implementation of a Discrete Reduced Order Neural Observer: Linear Induction Motors Application”, Intelligent Automation & Soft Computing, vol. 22, no. 3, pp. 491-498, DOI:10.1080/10798587.2015.1097014, 2016 (ISSN: 10798587) USA
M. Lopez-Franco, E. N. Sanchez, A. Y. Alanis and C. López-Franco, “Neural Control for Driving a Mobile Robot Integrating Stereo Vision Feedback”, Neural Processing Letters, vol. 43, pp. 425–444, 2016, (ISSN: 13704621) USA
2015
A. Y. Alanis, J. D. Rios, J. Rivera, N. Arana-Daniel and C. Lopez-Franco, “Real-time discrete neural control applied to a Linear Induction Motor”, Neurocomputing, vol. 164, pp. 240-251, 2015, (ISSN: 09252312) USA
A. Y. Alanis, N. Arana-Daniel and C. Lopez-Franco, “Bacterial foraging optimization algorithm to improve a discrete-time neural second order sliding mode controller”, Applied Mathematics and Computation, vol. 271, pp. 43-51, 2015 (ISSN: 00963003) USA
M. Lopez-Franco, E. N. Sanchez, A. Y. Alanis and C. Lopez-Franco, “Neural Control for a Differential Drive Wheeled Mobile Robot Integrating Stereo Vision Feedback”, Computacion y Sistemas, vol. 19, no. 3, pp. 429-443, 2015, (ISSN: 20079737) MEXICO
A. Y. Alanis, N. Arana-Daniel, C. Lopez-Franco and E. Guevara-Reyes, “Integration of an Inverse Optimal Neural Controller with Reinforced-SLAM for Path Panning and Mapping in Dynamic Environments”, Computacion y Sistemas, vol. 19, no. 3, pp. 445-456, 2015, (ISSN: 20079737) MEXICO
M. Lopez-Franco, E. N. Sanchez, A. Y. Alanis, C. Lopez-Franco and N. Arana-Daniel, “Decentralized control for stabilization of nonlinear multi-agent systems using neural inverse optimal control”, Neurocomputing, vol. 168, pp. 81-91, 2015, (ISSN: 09252312) USA
V. G. Lopez, A. Y. Alanis, E. N. Sanchez, J. Rivera, “Real-time implementation of neural optimal control and state estimation for a linear induction motor”, Neurocomputing, vol.152, pp. 403-412, 2015, (ISSN: 09252312) USA
L. J Ricalde, J. E Guillermo, E. N. Sanchez, A. Y Alanis, “Detection of heart murmurs based on radial wavelet neural network with Kalman learning”, Neurocomputing, In Press, vol. 152, pp. 403-412, 2015, (ISSN: 09252312) USA
C. Lopez-Franco, M. Lopez-Franco, A. Y. Alanis, J. Gómez-Avila and N. Arana-Daniel, “Real-time inverse optimal neural control for image based visual servoing with nonholonomic mobile robots”, Mathematical Problems in Engineering, vol. 2015, Pag.1-13, 2015 USA (ISNN: 1563-5147)
L. A. Vazquez, F. Jurado and A. Y. Alanis, “Decentralized Identification and Control in Real-Time of a Robot Manipulator via Recurrent Wavelet First-Order Neural Network”, Mathematical Problems in Engineering, vol. 2015, Pag.1-13, 2015 USA (ISNN: 1563-5147)
2014
A. Y. Alanis, E. N. Sanchez, A. G. Loukianov, “Real-time output trajectory tracking neural sliding mode controller for induction motors”, Journal of the Franklin Institute, vol. 351, no. 4 pp. 2315-2334, 2014 ISNN: 00160032 USA
B. S. Leon, A. Y. Alanis, E. N. Sanchez, F. Ornelas-Tellez and E. Ruiz-Velazquez, “Neural Inverse Optimal Control via Passivity for Subcutaneous Blood Glucose Regulation in Type 1 Diabetes Mellitus Patients”, Intelligent Automation & Soft Computing, vol. 20, no. 2, pp. 279-295, 2013, ISSN: 1079-8587 USA
K. J. Gurubel, A. Y. Alanis, E. N. Sanchez, S. Carlos-Hernandez, “A Neural Observer with Time-Varying Learning Rate: Analysis and Applications”, International Journal of Neural Systems, vol. 24, no. 1, DOI: 10.1142/S0129065714500117, 2014 USA
A. Y. Alanis, E. A. Lastire, N. Arana-Daniel, and C. Lopez-Franco, “Inverse Optimal Control with Speed Gradient for a Power Electric System Using a Neural Reduced Model”, Mathematical Problems in Engineering, vol. 2014, Article ID 514608, 21 pages, DOI: 10.1155/2014/514608, 2014 USA (ISNN: 1563-5147)
A. Y. Alanis, M. Hernandez-Gonzalez, E. A. Hernandez-Vargas, “Observers for biological systems”, Applied Soft Computing, DOI: 10.1016/j.asoc.2013.10.028, 2014 (ISSN: 1568-4946) USA
A. Y. Alanis, F. Ornelas-Tellez and E. N. Sanchez, “Discrete-time inverse optimal neural control for synchronous generators”, Engineering Applications of Artificial Intelligence, vol. 26, pp. 697-705, 2013. (ISSN: 09521976) USA
A. Y. Alanis, E. Rangel, J. Rivera, N. Arana-Daniel, and C. Lopez-Franco, “Particle Swarm Based Approach of a Real-Time Discrete Neural Identifier for Linear Induction Motors”, Mathematical Problems in Engineering, vol. 2013, Article ID 715094, 9 pages, DOI: 10.1155/2013/715094, 2013 USA (ISNN: 1563-5147)
B. S. Leon, A. Y. Alanis, E. N. Sanchez, F. Ornelas-Tellez and E. Ruiz-Velazquez, “Neural inverse optimal control applied to type 1 diabetes mellitus patients”, Analog Integrated Circuits and Signal Processing, vol. 76, no. 3, pp. 343-352, DOI 10.1007/s10470-013-0109-8, 2013, ISSN 09251030 USA
C. Lopez-Franco, N. Arana-Daniel and A. Y. Alanis, “Visual Servoing on the Sphere Using Conformal Geometric Algebra”, Advances in Applied Clifford Algebras, vol. 22, no. 2, pp. 125-141. DOI 10.1007/s00006-012-0342-8, 2013, ISSN 01887009 USA
A. Y. Alanis, L. J. Ricalde, C. Simetti, and F. Odone, “Neural Model with Particle Swarm Optimization Kalman Learning for Forecasting in Smart Grids”, Mathematical Problems in Engineering, Vol. 2013, Article ID 197690, 9 pages, DOI: 10.1155/2013/197690, 2013 USA (ISNN: 1563-5147)
M. Hernandez-Gonzalez, A.Y. Alanis, E.A. Hernandez-Vargas, “Decentralized discrete-time neural control for a Quanser 2-DOF helicopter”, Applied Soft Computing, vol. 12, no. 8, August, 2012, pp. 2462-2469, ISSN: 15684946 (ISSN: 1568-4946) USA
J. H. Perez-Cruz, A. Y. Alanis, J. J. Rubio, and J. Pacheco, “System Identification Using Multilayer Differential Neural Networks: A New Result”, Journal of Applied Mathematics, DOI:10.1155/2012/529176, pp. 1-20, February, 2012, ISSN: 16870042 USA
B. S. Leon, A. Y. Alanis, E. N. Sanchez, F. Ornelas-Tellez, E. Ruiz-Velazquez, “Inverse optimal neural control for a class of discrete-time nonlinear positive systems”, International Journal of Adaptive Control and Signal Processing, vol. 26, no. 7, pp. 614-629, June, 2012, ISNN: 10991115 USA
A. Y. Alanis, M. Lopez-Franco, N. Arana-Daniel and C. Lopez-Franco, “Discrete-time neural control for electrically driven nonholonomic mobile robots”, International Journal of Adaptive Control and Signal Processing, vol. 26, no. 7, pp. 630-644, June, 2012, ISNN: 10991115 USA
B. S.. Leon, A. Y. Alanis, E. N. Sanchez, F. Ornelas-Tellez, E. Ruiz-Velazquez, “Inverse optimal neural control of blood glucose level for type 1 diabetes mellitus patients”, Journal of the Franklin Institute, vol. 349, no 5, pp. 1851-1870, June, 2012, ISNN: 00160032 USA
A. Y. Alanis, B. S. Leon, E. N. Sanchez and E. Ruiz-Velazquez, “Blood Glucose Level Neural Model for Type 1 Diabetes Mellitus Patients”, International Journal of Neural Systems, vol. 21, no. 6, pp. 491-504, December, 2011, ISNN: 01290657 USA
A. Y. Alanis, E. N. Sanchez and A. G. Loukianov, Real-Time Recurrent Neural State Estimation, IEEE Transactions on Neural Networks, vol. 22, no. 3, pp. 497-505, March, 2011, ISNN: 10459227 USA
A. Y. Alanis, E. N. Sanchez and A. G. Loukianov, “Real-time Discrete Backstepping Neural Control for Induction Motors”, IEEE Transactions on Control System Technology, vol. 19 no. 2, 2011, ISNN: 10636536
A. Y. Alanis, E. N. Sanchez, A. G. Loukianov and E. A. Hernandez-Vargas, “Discrete-time recurrent high order neural networks for nonlinear identification”, Journal of Franklin Institute, vol. 347, no. 7, September 2010, ISNN: 00160032 USA
A. Y. Alanis, E. N. Sanchez and A. G. Loukianov, “Real-time Discrete Backstepping Neural Control for Induction Motors”, IEEE Transactions on Control System Technology, vol. 19, no. 2, March 2011, ISNN: 10636536 USA
A.Y. Alanis, E. N. Sanchez and L. J. Ricalde, “Discrete-Time Reduced Order Neural Observers for Uncertain Nonlinear Systems”, International Journal of Neural Systems, vol. 20, no. 1, pp. 29-38, February, 2010, ISNN: 01290657 USA
A.Y. Alanis, E. N. Sanchez, A. G. Loukianov and M. A. Perez, “Discrete-Time Output Trajectory Tracking by Recurrent High-Order Neural Network Control”, IEEE Transactions on Control System Technology, vol. 18, no. 1, pp. 11-21, January, 2010, ISNN: 10636536 USA
E. A. Hernandez-Vargas, A. Y. Alanis, E. N. Sanchez, M. Hernandez-Gonzalez and V. Flores, “Supervisor difuso funcional aplicado a una planta urbana de tratamiento de aguas residuales basado en un observador neuronal”, Ingenieria Química (in spanish), no. 36, pp. 14-22, November, 2009, ISSN: 07974930 URUGUAY
E. N. Sanchez and A. Y. Alanis, “Adaptive Approximation Based Control: Unifying Neural, Fuzzy and Traditional Adaptive Approximation Approaches (Book review)” IEEE Transactions on Neural Networks, vol. 19, no. 4, pp. 731-732, Abril, 2008, ISNN: 10459227 USA
A. Y. Alanis, E. N. Sanchez and A. G. Loukianov, Discrete-Time Adaptive Backstepping Nonlinear Control via High Order Neural Networks, IEEE Transactions on Neural Networks special issue on Feedback Control, vol. 18, no. 4, pp. 1185-1195, July, 2007, ISNN: 10459227 USA