On fuzzy observer for systems with both continuous and discrete measurements

The synchronization of neuron networks using the contraction theory is reported in this contribution. The contraction theory provides a simple method to determine convergence of trajectories of the systems in the network instead of the Master Stability Function and the calculation of Lyapunov exponents. The objective is to determine the contraction region where once the trajectories reach such region they will converge each other and remain in such a contraction region. Such a condition lies mainly on the system parameters, network topology and coupling strength. " 2011 IEEE.",,,,,,"10.1109/LARC.2011.6086840",,,"http://hdl.handle.net/20.500.12104/43308","http://www.scopus.com/inward/record.url?eid=2-s2.0-83455163927&partnerID=40&md5=58030f791dbbf4c193abe8da7996c343",,,,,,,,"2011 IEEE 9th Latin American Robotics Symposium and IEEE Colombian Conference on Automatic Control, LARC 2011 - Conference Proceedings",,,,,,"Scopus",,,,,,,,,,,,"On contraction analysis of synchronization of neuron networks",,"Conference Paper" "45088","123456789/35008",,"Guillen Flores, C.P., CINVESTAV, Unidad Guadalajara, Av. del Bosque 1145, Col. EL Bajio, Zapopan, 45015, Jalisco, Mexico; Toledo, B.C., CINVESTAV, Unidad Guadalajara, Av. del Bosque 1145, Col. EL Bajio, Zapopan, 45015, Jalisco, Mexico; García Sandoval, J.P., Chemical Engineering Department, University of Guadalajara, Blv. Marcelino García Barragán 1451, Guadalajara, 44430, Jalisco, Mexico; Gonzalez Alvarez, V., Chemical Engineering Department, University of Guadalajara, Blv. Marcelino García Barragán 1451, Guadalajara, 44430, Jalisco, Mexico",,"Guillen Flores, C.P