Dr. José Paz Pérez Padrón

Educación: 

Pertenece al Núcleo Académico Básico: SiSistema Nacional de Investigadores: Nivel I, 2012 a 2015Perfil deseable PROMEP: Si, Julio 2009 a Julio 2012 

Experiencia Profesional: 

Tesis Dirigidas:

  1. Pablo Javier Fernández Duran, Simulación del Control de una Planta no Lineal usando una Red HORNN, Licenciatura en Matemáticas, Fecha de examen: 3 de Junio de 2006.
  2. Luz Perla Varela Pérez, Control de concentración de Salmuera en un sistema de tanques. Licenciatura en Matemáticas, Fecha de examen: Diciembre 2007.
  3. Francisco Rodríguez Ramírez, Identificación y Control de Sistemas no Lineales Complejos por medio de Redes Neuronales Recurrentes Adaptables. Doctorado en Ciencias con Orientación en Matemáticas, FCFM, UANL. Fecha de examen: Diciembre 2013 (tentativo)
  4. Santiago Arroyo Garza, Análisis de Estabilidad del error de Seguimiento de trayectorias de Sistemas Dinámicos Complejos usando Redes Neuronales Recurrentes Adaptables. Doctorado en Ciencias con Orientación en Matemáticas, FCFM, UANL.

 

Publicaciones: 

Publicaciones en revistas del Journal Citations Reports:

  1. A.S.Poznyak, W.Yu, E.N.Sanchez, and J.P.Perez, “Stability analysis of dynamic neural control”, Expert Systems with Applications, Vol. 14, pp 227-236, 1998.
  2. A.S.Poznyak, W. Yu, E.N.Sanchez, and J.P.Perez, “Nonlinear adaptive trajectory tracking using dynamic neural networks”, IEEE Trans. on Neural Networks, Vol. 10,  pp 1402-1411, November 1999.
  3. E.N.Sanchez and J.P.Perez , “Input to sate stability analysis for dynamic neural networks”, IEEE Trans. on Circuits and Systems - I, Vol. 48, pp 1395-1398, November 1999.
  4. E.N.Sanchez, J.P.Perez and G.Chen, “Using dynamic neural networks to generate chaos:  An inverse optimal control approach”,  Int. J. of Bifur. Chaos, Vol. 11, No. 3, pp 857-863, 2001.
  5. E.N.Sanchez, J.P.Perez, M. Martinez and G.Chen, “Chaos stabilization: an inverse optimal control approach”, Latin Amer. Appl. Res.: Int’l J., Vol. 32, pp 111-114, 2002.
  6. E.N. Sanchez, J.P. Perez, “Input-to-State Stabilization of Dynamic Neural Networks”, IEEE Transaction on Systems, Man and Cybernetics, Part A : Systems and Humans, Vol. 33, Number 4, pp 532-536, July 2003.
  7. E.N. Sanchez, L.J. Ricalde, J.P. Pérez, “Using Adaptive Recurrent Neural Networks for Chaos Control”, Special issue of the Journal of Dynamics of Continuous, Discrete and Impulsive Systems Series B: Applications and Algorithms, pp. 915-928, Watam Press, waterloo,  Canada, December 2003.
  8. Alexander Jimenez, Edgar N. Sanchez, Guanrong Chen and Jose P. Perez,“Real-time chaotic circuit stabilization via inverse optimal control”, INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS,  Int. J. Circ. Theor. Appl. 2009; 37:887–898 Published online 9 July 2008 in Wiley InterScience (www.interscience.wiley.com). DOI: 10.1002/cta.500, Volume 37, Issue 8, Pages 887-898, October 2009.

Publicaciones en revistas de otros índices:

  1. Joel Perez, Jose P. Perez, Francisco Rdz, Rmz. and Angel Flores H, Trajectory tracking for the chaotic pendulum using PI control law, Revista Mexicana de Física, Received 26 October 2012; accepted 31 May 2013.
  2. Joel Perez, Jose P. Perez, Francisco Rdz, Angel Flores, Trajectory Tracking for Chaos Synchronization Via PI Control Law between Roosler-Chen, Computación y sistemas del Instituto Politecnico Nacional, In Press, 2013.

Capítulos de Libros:

  1. E. N. Sanchez, J. P. Perez and L. J. Ricalde, “Neural networks design for chaos synchronization”, in Chaos Control: Theory and Applications - Vol. I Chaos Control, Eds. G. Chen, and X. Yu, pp 137-158, ISBN 3-540-4045-8, Lectures Notes in Control and Information sciences,  Springer Verlag, Berlin, Germany, 2003. 
  2. L. J. Ricalde, E. N. Sanchez and J. P. Perez, “Robot manipulator control via recurrent neural networks”, in Neural Information Processind: Research and Development, Eds J. Chandana Rajapake and L. Wang, pp 370-386 , ISBN 3-540-21123-3, Studies in Fuzziness and Soft Computing,  Springer Verlag, Berlin, Germany, 2004.
  3. Joel Perez, Jose P. Perez and Rogelio Soto, “Optimal Filtering for Linear States over Polynomial Observations”, Stochastic Control, ISBN 978-953-307-121-3, Published by Sciyo, Printed in India, September 2010.
  4. Jose Luis Meza, Rogelio Soto,  Victor Santibañez, Juan Sifuentes, Jose P. Perez, Joel Perez, “Lyapunov Stable Neural Self-tuning Controller for Robot Manipulators”, Capítulo aceptado en el libro PID Control, de la ed. Intech Open Access Publisher, 2011.

Artículos en Memorias de Congresos:

  1. A.S.Poznyak, E.N.Sanchez, J.P.Perez, and W.Yu, “Robust adaptive nonlinear system identification and trajectory tracking by dynamic neural networks”, 1997 American Control Conference, Albuquerque,  New Mexico, USA, June 4-6, 1997.
  2. Edgar N. Sanchez, and José P. Pérez, " Input to State Stability (ISS) Analysis for Dynamic Neural, Networks",  1997 Inernational Conference on neural Networks ICNN-IEEE  97, Houston,  Texas,  USA, June 9-12, 1997.
  3. A.S.Poznyak, E.N.Sanchez, J.P.Perez, and W.Yu, “Dynamic neural control stability analysis”, 2nd Joint Mexico USA Intl. Works. on Neural Nerworks and Neurocontrol (Sian Ka´an 97), Playa del Carmen, Quintana Roo, Mexico, August 19-29, 1997.
  4. E. N. Sanchez, J. P. Perez, M. Martinez, and G. Chen, “Global asymptotic stabilization of Chen´s chaotic system via inverse optimal control'”, 8th IEEE Meditarrenean Conference, jointly with 2000 IEEE International symposium on Intelligent Control,  University of Patras, Greece, July, 17-19, 2000.
  5. E. N. Sanchez, J. P. Perez, and G. Chen, “Chaos reproduction by dynamic neural networks: an inverse optimal control approach”, ISCAS 2001, in Proc. of The IEEE International Symposium on Circuits and Systems, Sydney, Australia, May 6-9, 2001.
  6. E. N. Sanchez, J. P. Perez, L. J. Ricalde, and G. Chen, “Trajectory tracking via dynamic adaptive recurrent neural control”, in Proc. of 2001 IEEE Joint International Conference on Control applications and International Symposium on Intelligent Control, Mexico City, Mexico, September 5-7, 2001.
  7. E. N. Sanchez, J. P. Perez,  L. J. Ricalde, and G. Chen, “Chaos Synchronization via adaptive recurrent neural networks”,  in Proc. of 2001 IEEE Conference on Decision and Control, Orlando, Florida, USA, December 4-7, 2001.
  8. E. N. Sanchez, J. P. Perez, L. J. Ricalde “Recurrent neural control for robot trajectory tracking”,  in Proc. of  15th. IFAC World Congres,  Barcelona, Spain,  Jul. 2002
  9. E. N. Sanchez, J. P. Perez,  and G. Chen, “Stabilization of stochastics recurrent neural networks”,  in Proc. of  41th 2001 IEEE Conference on Decision and Control, Las Vegas, Nevada, USA, December, 2002.
  10. E. N. Sanchez, J. P. Perez, “Stochastics recurrent neural control for trajectory tracking: via inverse optimal control”,  in Proc. of  2002 IFAC Latinoamerican Congress on Automatic Control, Guadalajara, Mexico, December 2002.
  11. E. N. Sanchez, J. P. Perez, “Adaptive recurrent neural control for noisy chaos control”,  in Proc. of  2003  American Control Conference, Denver Colorado, USA,  June 2003.
  12. E. N. Sanchez, J. P. Perez, Joel Perez Padron, “Stabilization of Delayed Neural networks”, International Conference on Systems, Man and Cybernetics, Hawaii, USA, October 10-12, 2005.
  13. lexander J. Triana, E. N. Sanchez, Jose P. Perez, G. Chen, “Real-Time Chaos Stabilization”, 2005 Joint ISIC-MED Conference through the Conference Paper Management System of the IEEE Control Systems Society.
  14. E. N. Sanchez, J. P. Perez, and J. Perez, “Stabilization of delayed neural networks”, IEEE International Conference on Systems, Man & Cybernetics, pp 2156-2160, Waikoloa, Hawaii October 10-12, 2005.
  15. Edgar N. sanchez, Jose P. Perez, Joel Perez, “Trajectory Tracking for Delayed Recurrent Neural Network”, American Control Conference, Minneapolis, Minnesota, USA, June 14-16, 2006.
  16. Jose P. Perez, Jorge A. Guevara, Joel Perez,” Seguimiento de una red de Regulación Genética por una Red Neuronal recurrente”, XLI Congreso Nacional de la Sociedad matemática Mexicana, Valle de Bravo Estado de México, 20-24 Octubre de 2008.
  17. José P. Pérez, Jorge A. González, Joel Pérez , “Stochastic Recurent Neural Control for trajectory Tracking of a Gene Regulatory Network Biological System”, IEEE ISIE 2009 International Symposium on Industrial Elecronics, Seoul Olympic Parktel Seoul, Korea, 5-8  July, of 2009.
  18. José P. Pérez, Joel Pérez, Jorge A. González ,”Trajectory Tracking of Complex Dynamical Network for Recurrent Neural Network Via Control V-Stability”, ISDA’ 09, 9th International Conference on Intelligent Systems Design and Applications, Pisa, Italy 30 of november - 2 December 2009.
  19. Jose P. Perez, Rogelio Soto, Joel Perez, Francisco Rodriguez and Jose Luis Meza, “PID Stable Control Error Tracking of Robot Manipulator via Recurrent Adaptive Neural Networks”, Accepted for its publication on 2011 American control conference, to be held in San Francisco, CA, USA on June 29-July 01, 2011.
  20. Joel Perez, Jose P Perez, Rogelio Soto, Angel Flores, Francisco Rodriguez, Jose Luis Meza. Complex Dynamical Systems for Trajectory Tracking Using Control V-.Stability. World Automation Congresss (WAC 2012) ISSN: 2154-4824, IEEE Xplore Digital Library page(s) 1-5, Puerto Vallarta, Jalisco, México.

 

Cursos: 

Participaciones en Congresos (últimas 5):

  1. Joel Pérez, José P Pérez, Rogelio Soto, Ángel Flores, Francisco Rodríguez, Jose Luis Meza, Complex Dynamical Systems for Trajectory Tracking Using Control V-.Stability, World Automation Congresss (WAC 2012) Puerto Vallarta, Jalisco.
  2. Joel Pérez P., José P. Pérez, Rogelio Soto, Ángel Flores, Francisco Rodríguez, José Luis Meza, Trajectory Tracking Error Using PID Control Law for Two-Link Robot Manipulator via Adaptive Neural Networks, The Iberoamerican Conference on Electronics Engineering and Computer Science, 2012.
  3. José Pérez, Joel Pérez, Jorge Gzz. Guevara, (2009), Seguimiento de una Red Dinámica Compleja por una Red Neuronal Recurrente via Control V-Estabilidad. XLII Congreso Nacional de la Sociedad Matemática Mexicana-Sección Investigación, del 12 al 16 de Octubre del 2009 en la Ciudad de Zacatecas, Zacatecas.
  4. José Pérez, Joel Pérez, Jorge González, (2009) Trajectory Tracking of Complex Dynamical Network for Recurrent Neural Network Via Control V-Stability. IEEE, ISDA´2009, Pisa, Italia, Diciembre de 2009.
  5. José Pérez, Jorge A. Gzz. Guevara, Joel Pérez (2009) Stochastic Recurrent Neural Control for Trajectory Tracking of a Gene Regulatory Network Biological System, IEEE, International Symposium on Industrial Electronics. Seul, Corea, Julio de 2009.