I. Baruch

发表

2 1 A Recurrent Neural Multi-Model for Mechanical Systems Dynamics Compensation

R. Garrido, I. Baruch, R. Beltrán, 2007 .

A New Computer Algorithm Approach to Identification of Continuous-Time Batch Bioreactor Model Parameters

Ieroham S. Baruch, Boyka Nenkova, Carlos-Roman Mariaca-Gaspar, 2005, International Conference on Computational Science.

Identification and control of nonlinear dynamical systems using Levenberg-Marquardt learning algorithm for recurrent complex-valued neural networks

I. Baruch, V. Quintana, E. P. Reynaud, 2016 .

Identification of dynamical systems using recurrent complex-valued neural networks

I. Baruch, V. Arellano-Quintana, 2022 .

An Indirect Adaptive Vector Control of the Induction Motor Velocity Using Neural Networks

R. Garrido, I. Baruch, B. Nenkova, 2007 .

A soft sensor based on online biomass measurements for the glucose estimation and control of fed-batch cultures of Bacillus thuringiensis

H. Poggi‐Varaldo, J. Barrera-Cortés, T. Ponce-Noyola, 2018, Bioprocess and Biosystems Engineering.

Direct Field Oriented Neural Control of a Three Phase Induction Motor

Ieroham S. Baruch, Boyka Nenkova, Irving Pavel de la Cruz, 2010, AIMSA.

Direct torque adaptive vector neural control of a three-phase induction motor

Ieroham S. Baruch, Carlos-Roman Mariaca-Gaspar, Oscar Castillo, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

A Direct Adaptive Vector Neural Control of a Three-Phase Induction Motor

Ieroham S. Baruch, I. Baruch, 2014 .

Bio-inspired optimization of fuzzy logic controllers for autonomous mobile robots

O. Castillo, R. Martinez-Soto, L. T. Aguilar, 2012, 2012 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS).

An advanced neural network topology and learning, applied for identification and control of a DC motor

I.S. Baruch, B. Nenkova, J.M. Flores, 2002, Proceedings First International IEEE Symposium Intelligent Systems.

A fuzzy neural recurrent multi-model for systems identification and control

R. Garrido, I. S. Baruch, J. M. Flores, 2001, 2001 European Control Conference (ECC).

Adaptive Neural Control of Nonlinear Systems

Federico Thomas, Ieroham S. Baruch, Ruben Garrido, 2001, ICANN.

A multimodel recurrent neural network for systems identification and control

Federico Thomas, Ieroham S. Baruch, Elena Gortcheva, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Fuzzy-Neural Models for Real-Time Identification and Control of a Mechanical System

Ieroham S. Baruch, Boyka Nenkova, Juan Carlos Martínez, 2000, AIMSA.

An integral-plus-state adaptive neural control of mechanical system

Federico Thomas, Ieroham S. Baruch, Ruben Garrido, 2003, Proceedings of 2003 IEEE Conference on Control Applications, 2003. CCA 2003..

An adaptive neural control of a DC motor

I.S. Baruch, R. Garrido, J.-M. Flores, 2001, Proceeding of the 2001 IEEE International Symposium on Intelligent Control (ISIC '01) (Cat. No.01CH37206).

A multi-model parameter and state estimation of mechanical systems

I. Baruch, R. Garrido, J.M. Flores, 2000, ISIE'2000. Proceedings of the 2000 IEEE International Symposium on Industrial Electronics (Cat. No.00TH8543).

Real Time Identification and Control of a DC Motor Using Recurrent Neural Networks

Ieroham S. Baruch, Ruben Garrido, Boyka Nenkova, 2001 .

Recurrent Neural Network Identification and Adaptive Neural Control of Hydrocarbon Biodegradation Processes

Ieroham S. Baruch, Carlos R. Mariaca-Gaspar, Josefina Barrera-Cortes, 2008 .

Sliding Mode Control of a Hydrocarbon Degradation in Biopile System Using Recurrent Neural Network Model

Ieroham S. Baruch, Josefina Barrera-Cortés, Carlos-Roman Mariaca-Gaspar, 2007, MICAI.

Neural prediction of hydrocarbon degradation profiles developed in a biopile

Ieroham S. Baruch, Josefina Barrera-Cortés, R. De la Torre-Sánchez, 2006, Expert Syst. Appl..

Application of Kalman Filter Recurrent Neural Network for Identification and Control of Hydrocarbon Biodegradation Bioprocess

Ieroham S. Baruch, Josefina Barrera Cortés, Carlos-Roman Mariaca Gaspar, 2016 .

Direct and Indirect Neural Identification and Control of a Continuous Bioprocess via Marquardt Learning

Ieroham S. Baruch, Oscar Castillo, Josefina Barrera-Cortés, 2011, Soft Computing for Intelligent Control and Mobile Robotics.

A direct adaptive neural control scheme with integral terms

Ieroham S. Baruch, Ruben Garrido, R. Garrido, 2005, Int. J. Intell. Syst..

Recurrent Trainable Neural Networks for Complex Systems Identification: A Hybrid System Approach

Juan Eduardo Velázquez-Velázquez, Rosalba Galván-Guerra, Silvestre Garcia-Sanchez, 2016, Res. Comput. Sci..

Application of Recurrent Neural Networks for Systems Identification and Control *

I. Baruch, Alex Mitev, B. Nenkova, 2007 .

Neural networks applied to the prediction of fed-batch fermentation kinetics of Bacillus thuringiensis

J. Barrera-Cortés, J. Barrera-Cortés, I. Baruch, 2003, Bioprocess and biosystems engineering.

An indirect adaptive neural control of a three phase induction motor velocity

Ieroham S. Baruch, Irving Pavel de la Cruz, I. Baruch, 2010, 2010 7th International Conference on Electrical Engineering Computing Science and Automatic Control.