Ieroham S. Baruch

发表

Recurrent Neural Identification and I-Term Sliding Mode Control of a Vehicle System Using Levenberg-Marquardt Learning

Ieroham S. Baruch, Sergio M. Hernandez-Manzano, Jacob Moreno-Cruz, 2012, MICAI.

RECURRENT NEURAL CONTROL OF WASTEWATER TREATMENT BIOPROCESS VIA MARQUARDT LEARNING

Ieroham S. Baruch, Saul F. Escalante, Carlos R. Mariaca-Gaspar, 2007 .

Decentralized Adaptive Soft Computing Control of Distributed Parameter Bioprocess Plant

Ieroham S. Baruch, Rosalba Galvan-Guerra, 2010 .

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..

Centralized Indirect Control of an Anaerobic Digestion Bioprocess Using Recurrent Neural Identifier

Ieroham S. Baruch, Rosalba Galván-Guerra, Boyka Nenkova, 2008, AIMSA.

Recurrent neural network model of a fed-batch Saccharomyces cerevisiae fermentation process

Ieroham S. Baruch, Josefina Barrera-Cortés, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

A neuro-fuzzy model for nonlinear plants identification

Federico Thomas, Ieroham S. Baruch, Elena Gortcheva, 1999 .

Implementation of a Neural Hierarchical Multimodel for Identification and Control of Mechanical Systems

Ieroham S. Baruch, José Luis Olivares Guzmán, 2005 .

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

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

Neuro-control adaptable para un motor CD

Ieroham S. Baruch, Ruben Garrido, Ignacio Ramón Ramírez Palacios, 2002 .

Centralized Distributed Parameter Bioprocess Identification and I-Term Control Using Recurrent Neural Network Model

Ieroham S. Baruch, Rosalba Galvan-Guerra, Eloy Echeverria-Saldierna, 2012 .

An Integral Plus States Adaptive Neural Control of Aerobic Continuous Stirred Tank Reactor

Ieroham S. Baruch, Josefina Barrera-Cortés, Petia Georgieva, 2006, Eng. Lett..

Complex-valued neural network topology and learning applied for identification and control of nonlinear systems

Ieroham S. Baruch, Victor Arellano Quintana, Edmundo Pérez Reynaud, 2017, Neurocomputing.

Adaptive recurrent neural network control of biological wastewater treatment

Ieroham S. Baruch, Josefina Barrera-Cortés, Sebastião Feyo de Azevedo, 2005, Int. J. Intell. Syst..

Decentralized indirect adaptive Fuzzy-Neural Multi-Model control of a distributed parameter bioprocess plant

Ieroham S. Baruch, Patricia Melin, Rosalba Galván-Guerra, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Model Reference Neural Control of a Variable Structure System

Ieroham S. Baruch, Moisés Bonilla, 2003 .

An indirect adaptive neural control of nonlinear plants

Ieroham S. Baruch, Ruben Garrido, Elena Gortcheva, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

A direct adaptive neural control scheme with integral terms: Research Articles

Ieroham S. Baruch, Ruben Garrido, 2005 .

Recurrent neural identification and control of a continuous bioprocess using the recursive Marquardt algorithm

Ieroham S. Baruch, Carlos-Roman Mariaca-Gaspar, 2009, 2009 European Control Conference (ECC).

Direct Adaptive Soft Computing Neural Control of a Continuous Bioprocess via Second Order Learning

Ieroham S. Baruch, Josefina Barrera-Cortés, Carlos-Roman Mariaca-Gaspar, 2009, MICAI.

Control Neuronal por Modelo de Referencia para un Sistema de Estructura Variable

Ieroham S. Baruch, Moisés Bonilla Estrada, José Martín Flores, 2003, Computación y Sistemas.

Decentralized direct I-term fuzzy-neural control of an anaerobic digestion bioprocess plant

Ieroham S. Baruch, Sergio M. Hernandez, 2011, Computational Intelligence in Control and Automation (CICA).

Identification of nonlinear dynamical systems by means of complex-valued fuzzy-neural multi-model

Ieroham S. Baruch, Mario Cesar Maya Rodriguez, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

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.

Recurrent Neural Identification and an I-Term Direct Adaptive Control of Nonlinear Oscillatory Plant

Ieroham S. Baruch, Jacob Moreno-Cruz, Elena Gortcheva, 2012, AIMSA.

AN ADAPTIVE NEURAL CONTROL SYSTEM OF A DC MOTOR DRIVE.

Ieroham S. Baruch, Ruben Garrido, Ignacio Ramon Ramirez Palacios, 2002 .

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

Ieroham S. Baruch, I. Baruch, 2014 .

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).

Adaptive Neural Control of Nonlinear Systems

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

Identification and Adaptive Neural Control of Time-Delayed Multivariable Plant

Ieroham S. Baruch, G Carlos Roman Mariaca, 2006 .

Decentralized Adaptive Fuzzy-Neural Control of an Anaerobic Digestion Bioprocess Plant

Ieroham S. Baruch, Rosalba Galván-Guerra, 2009, IFSA/EUSFLAT Conf..

Neural Model of Osmotic Dehydration Kinetics of Fruits Cubes

Ieroham S. Baruch, Boyka Nenkova, Josefina Barrera-Cortés, 2004, AIMSA.

Recurrent Neural Identification and Sliding Mode Adaptive Control of an Aerobic Fermentation Plant

Ieroham S. Baruch, Josefina Barrera-Cortes, 2007 .

A hierarchical fuzzy-neural multi-model: an application for a mechanical system with friccion identification and control

Federico Thomas, Ieroham S. Baruch, Jose-Luis Olivares, 2005, ICINCO.

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

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

Implementación de un Multimodelo Neuronal Jerárquico para Identificación y Control de Sistemas Mecánicos

Ieroham S. Baruch, Jose-Luis Olivares Guzman, J. Guzmán, 2005, Computación y Sistemas.

A Sliding Mode Control Using Fuzzy-Neural Hierarchical Multi-model Identifier

Ieroham S. Baruch, Rosalba Galván-Guerra, Carlos-Roman Mariaca-Gaspar, 2007, IFSA.

Centralized anaerobic digestion bioprocess plant identification and direct I-term neural control using second order learning

Ieroham S. Baruch, Rosalba Galván-Guerra, Eloy E. Saldierna, 2011, 2011 8th International Conference on Electrical Engineering, Computing Science and Automatic Control.

Hybrid Recurrent Neural Network for Nonlinear Hybrid Dynamical Systems Identification

Ieroham S. Baruch, Juan Eduardo Velázquez-Velázquez, Rosalba Galván-Guerra, 2011, 2011 8th International Conference on Electrical Engineering, Computing Science and Automatic Control.

RNN Identification and Control of Nonlinear Plants Using the Recursive Marquardt Algorithm

Ieroham S. Baruch, Carlos R. Mariaca-Gaspar, Saúl Escalante, 2006 .

Direct Field Oriented Neural Control of a Three Phase Induction Motor

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

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.

A Fuzzy-Neural Multi-model for Mechanical Systems Identification and Control

Ieroham S. Baruch, Ruben Garrido, Jose-Luis Olivares, 2004, MICAI.

Distributed parameter bioprocess plant identification and I-term control using centralized recurrent neural network models

Oscar Castillo, Ieroham S. Baruch, Eloy E. Saldierna, 2011, The 2011 International Joint Conference on Neural Networks.

Centralized Direct and Indirect Neural Control of Distributed Parameter Systems

Ieroham S. Baruch, Rosalba Galván-Guerra, 2009, Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control.

Direct Adaptive Neural Control with Integral-Plus-State Action

Ieroham S. Baruch, Ruben Garrido, Boyka Nenkova, 2002, AIMSA.

Direct Adaptive Neural Control Scheme with Integral-Plus-State Action

Ieroham S. Baruch, Ruben Garrido, Q. AlfredodelCarmenMartinez, 2003, Neural Networks and Computational Intelligence.

A Fed-Batch Fermentation Process Identification and Direct Adaptive Neural Control with Integral Term

Ieroham S. Baruch, Josefina Barrera-Cortés, Luis Alberto Hernández, 2004, MICAI.

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

Ieroham S. Baruch, José Martín Flores, Jose-Luis Olivares Guzman, 2008, Fuzzy Sets Syst..

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).

Distributed Parameter Bioprocess Plant Identification and I-Term Control Using Decentralized Fuzzy-Neural Multi-Models

Ieroham S. Baruch, Rosalba Galvan-Guerra, M Sergio-Miguel Hernandez, 2011 .

Application of the RTNN Model for System Identification, Prediction and Control

Ieroham S. Baruch, Boyka Nenkova, Jose-Martin Flores, 2001 .

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

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

An I-term direct adaptive neural control of a nonlinear oscilatory plant

Ieroham S. Baruch, Sergio M. Hernandez-Manzano, Jacob Moreno-Cruz, 2012, 2012 6th IEEE International Conference Intelligent Systems.

A Fuzzy-Neural Hierarchical Multi-model for Systems Identification and Direct Adaptive Control

Ieroham S. Baruch, Rosalba Galván-Guerra, Carlos-Roman Mariaca-Gaspar, 2007, Analysis and Design of Intelligent Systems using Soft Computing Techniques.

Adaptive discrete - time sliding mode control using recurrent neural identifier

Ieroham S. Baruch, Josefina Barrera-Cortes, P. Luis-Alberto Hernandez, 2004 .

Implementación de un Multimodelo Neuronal Jerárquico para Identificación y Control de Sistemas Mecánicos Implementation of a Neural Hierarchical Multimodel for Identification and Control of Mechanical Systems

Ieroham S. Baruch, José Luis Olivares Guzmán, J. Guzmán, 2005 .

Recurrent Neural Kalman Filter Identification and Indirect Adaptive Control of a Continuous Stirred Tank Bioprocess

Ieroham S. Baruch, Carlos-Roman Mariaca-Gaspar, 2009, IFSA/EUSFLAT Conf..

Adaptive recurrent neural network control of biological wastewater treatment: Research Articles

Ieroham S. Baruch, Josefina Barrera-Cortes, Sebastião Feyo de Azevedo, 2005 .

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..

NEURAL MODELLING AND SLIDING MODE CONTROL OF BIODEGRADATION PROCESS IN A ROTATING BIOREACTROR

Ieroham S. Baruch, Carlos R. Mariaca-Gaspar, Josefina Barrera-Cortes, 2007 .

Decentralized indirect adaptive I-term fuzzy-neural control of a distributed parameter bioprocess plant

Ieroham S. Baruch, Rosalba Galván-Guerra, Carlos-Roman Mariaca-Gaspar, 2011, 2011 IEEE Workshop On Hybrid Intelligent Models And Applications.

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.

Neural identification and indirect control of a nonlinear mechanical oscilatory plant

Ieroham S. Baruch, Sergio M. Hernandez, 2012, 2012 6th IEEE International Conference Intelligent Systems.

Sliding mode control of aerobic bioprocess using recurrent neural identifier

Ieroham S. Baruch, Josefina Barrera-Cortes, P. Luis-Alberto Hernandez, 2005 .

A direct adaptive neural control scheme with integral terms

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

A levenberg–marquardt learning applied for recurrent neural identification and control of a wastewater treatment bioprocess

Ieroham S. Baruch, Carlos R. Mariaca-Gaspar, 2009, HIS 2009.

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

Ieroham S. Baruch, Ruben Garrido, Elena Gortcheva, 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

A levenberg–marquardt learning applied for recurrent neural identification and control of a wastewater treatment bioprocess

Ieroham S. Baruch, Carlos-Roman Mariaca-Gaspar, 2009, Int. J. Intell. Syst..

Recurrent Neural Adaptive Control of Nonlinear Oscillatory Systems Using a Complex-valued Levenberg-Marquardt Learning Algorithm

Ieroham S. Baruch, Edmundo P. Reynaud, 2015 .

DECENTRALIZED AND CENTRALIZED INDIRECT ADAPTIVE I-TERM NEURAL CONTROL OF A DISTRIBUTED PARAMETER BIOPROCESS PLANT

Ieroham S. Baruch, Sergio-Miguel Hernandez, Eloy Echeverria Saldierna, 2011 .

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.