#### Filter Results:

- Full text PDF available (2)

#### Publication Year

2008

2017

- This year (1)
- Last 5 years (4)
- Last 10 years (11)

#### Publication Type

#### Co-author

#### Journals and Conferences

Learn More

- Carlos E. Castañeda, Alexander G. Loukianov, Edgar N. Sánchez, Bernardino Castillo-Toledo
- IEEE Transactions on Industrial Electronics
- 2012

An adaptive discrete-time tracking controller for a direct current motor with controlled excitation flux is presented. A recurrent neural network is used to identify the plant model; this neural… (More)

- Carlos E. Castañeda, Pedro Esquivel
- Neural Networks
- 2012

A time-varying learning algorithm for recurrent high order neural network in order to identify and control nonlinear systems which integrates the use of a statistical framework is proposed. The… (More)

- Carlos E. Castañeda, Edgar N. Sánchez, Alexander G. Loukianov, Bernardino Castillo-Toledo
- 2008 IEEE International Joint Conference on…
- 2008

An adaptive tracking controller for a discrete-time direct current (DC) motor model in presence of bounded disturbances is presented. A high order neural network is used to identify the plant model;… (More)

- Onofre A. Morfin, Carlos E. Castañeda, Antonio Valderrabano-Gonzalez, Miguel Hernández-González, Fredy A. Valenzuela
- 2017

In this paper, a real-time robust closed-loop control scheme for controlling the velocity of a Direct Current (DC) motor in a compound connection is proposed. This scheme is based on the… (More)

- Francisco Jurado, Maria Assunção Flores, Carlos E. Castañeda
- 2011 8th International Conference on Electrical…
- 2011

This paper presents a continuous-time neural control scheme for identification and control of a two degrees of freedom (DOF) direct drive vertical robot manipulator model, on which effects due to… (More)

- Carlos E. Castañeda, Alexander G. Loukianov, Edgar N. Sánchez, Bernardino Castillo-Toledo
- Neural Computing and Applications
- 2012

This paper presents a discrete-time direct current (DC) motor torque tracking controller, based on a recurrent high-order neural network to identify the plant model. In order to train the neural… (More)

- Onofre Orozco, Carlos E. Castañeda, Agustín Rodríıguez-Herrero, Gema García-Sáez, Elena M Hernando
- 2014

In this paper a Glucose-Insulin regulator for Type 1 Diabetes using artificial neural networks (ANN) is proposed. This is done using a discrete recurrent high order neural network in order to… (More)

- Patricia Esquivel, Carlos E. Castañeda
- 2013 IEEE International Autumn Meeting on Power…
- 2013

This paper describes a space-spectrum empirical model for unmasking modal components contained into space-time varying data measurements obtained from interconnected dynamical systems using an… (More)

- Francisco Jurado, Maria Assunção Flores, Víctor Santibáñez, M. A. Llama, Carlos E. Castañeda
- 2011 IEEE Electronics, Robotics and Automotive…
- 2011

A Recurrent High-Order Neural Network (RHONN) structure as well as a decentralized neural network scheme, this latter with high-order interconnections, are proposed to execute continuous-time… (More)

- Carlos E. Castañeda, Pedro Esquivel
- The 2010 International Joint Conference on Neural…
- 2010

An adaptive discrete-time tracking controller for a direct current (DC) motor with controlled excitation flux is presented. A high order neural network in discrete-time is used to identify the plant… (More)