Yu Tang

Affiliations:
  • National Autonomous University of Mexico, Mexico City, Mexico


According to our database1, Yu Tang authored at least 16 papers between 2007 and 2018.

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

Timeline

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Links

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Bibliography

2018
Nonlinear Observers for a Class of Neuronal Oscillators in the Presence of Strong Measurement Noise.
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018

Contraction-Based Identification of a Neuron Model with Nonlinear Parameterization via Synchronization.
Proceedings of the 15th International Conference on Electrical Engineering, 2018

2016
Identification of incommensurate state-space fractional systems.
Proceedings of the 13th IEEE International Conference on Networking, Sensing, and Control, 2016

2015
A New Observer for Perspective Vision Systems Under Noisy Measurements.
IEEE Trans. Autom. Control., 2015

Identification of nonlinear discrete systems by a state-space recurrent neurofuzzy network with a convergent algorithm.
Neurocomputing, 2015

Identification of nonlinear systems with nonlinear parameterization.
Proceedings of the 14th European Control Conference, 2015

2014
Estimation and indirect adaptive control for nonlinearly parameterized systems.
Proceedings of the 13th European Control Conference, 2014

2013
Estimation of Indicated Torque for Performance Monitoring in a Diesel Engine.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

Identification of first-order hammerstein systems and its application to a simple neural mass model for parkinson's disease treatment.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013

Contraction based adaptive control for a class of nonlinearly parameterized systems.
Proceedings of the American Control Conference, 2013

2011
Modelling of a traffic cell based on a recurrent-neural network.
Int. J. Model. Identif. Control., 2011

2010
Black-box identification of a class of nonlinear systems by a recurrent neurofuzzy network.
IEEE Trans. Neural Networks, 2010

A Discrete-Time Recurrent Neurofuzzy Network for Black-Box Modeling of insulin Dynamics in Diabetic Type-1 Patients.
Int. J. Neural Syst., 2010

2009
Black-box modeling of a 2-DOF manipulator in the image plane using recurrent neurofuzzy networks.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Identification of a class of nonlinear systems by a continuous-time recurrent neurofuzzy network.
Proceedings of the American Control Conference, 2009

2007
A new recurrent neurofuzzy network for identification of dynamic systems.
Fuzzy Sets Syst., 2007


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