Kais Bouzrara

Orcid: 0000-0003-2492-9626

According to our database1, Kais Bouzrara authored at least 63 papers between 2012 and 2024.

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

Timeline

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Bibliography

2024
Control of pH neutralization process using NMPC based on discrete time NARX-Laguerre model.
Comput. Chem. Eng., 2024

PID control based on MIMO-ARX Laguerre model.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2024

Control of Continuous Stirred Tank Reactor using PI corrector based on NARX model.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2024

Pole optimization of NARX-Laguerre model using Gradient method.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2024

Raspberry Pi-Based Monitoring System for Grid-Connected PV Systems using Deep Learning Technique.
Proceedings of the 10th International Conference on Control, 2024

Implementation of Genetic Algorithm Optimization based Artificial Neural Network on Raspberry Pi for Fault Diagnosis.
Proceedings of the 10th International Conference on Control, 2024

Real-Time Fault Detection Scheme for Industrial Chemical Tennessee Eastman Process.
Proceedings of the 10th International Conference on Control, 2024

Real-Time Fault Detection and Diagnosis Method for Industrial Chemical Tennessee Eastman Process.
Proceedings of the 10th International Conference on Control, 2024

2023
Enhanced PSO-Based NN for Failures Detection in Uncertain Wind Energy Systems.
IEEE Access, 2023

Robust parametric estimation based on MIMO ARX Laguerre model.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2023

Robust identification of nonlinear systems represented by second order NARX-Laguerre model.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2023

2022
Interval-Valued Reduced Ensemble Learning Based Fault Detection and Diagnosis Techniques for Uncertain Grid-Connected PV Systems.
IEEE Access, 2022

Kernel PCA based BiLSTM for Fault Detection and Diagnosis for Wind Energy Converter Systems.
Proceedings of the 8th International Conference on Control, 2022

Efficient Fault Detection and Diagnosis in Photovoltaic System Using Deep Learning Technique.
Proceedings of the 8th International Conference on Control, 2022

Fault Classification using Deep Learning in a Grid-Connected Photovoltaic Systems.
Proceedings of the 8th International Conference on Control, 2022

Enhanced Recurrent Neural Network for Fault Diagnosis of Uncertain Wind Energy Conversion Systems.
Proceedings of the 8th International Conference on Control, 2022

Improved Ensemble Approach for Fault Diagnosis of Wind Energy Conversion Systems.
Proceedings of the 8th International Conference on Control, 2022

Effective Fault Diagnosis in Grid Connected Photovoltaic Systems Using Multiscale PCA based Artificial Neural Network Technique.
Proceedings of the 8th International Conference on Control, 2022

Deep Learning based Fault Diagnosis in a Grid-Connected Photovoltaic Systems.
Proceedings of the 19th International Multi-Conference on Systems, Signals & Devices, 2022

Reduced KPCA based Ensemble Learning Approach for Fault Diagnosis of Grid-Connected PV Systems.
Proceedings of the 19th International Multi-Conference on Systems, Signals & Devices, 2022

Uncertain Fault Diagnosis of Grid-Connected PV Systems based Improved Data-Driven Paradigms.
Proceedings of the 19th International Multi-Conference on Systems, Signals & Devices, 2022

2021
Online statistical hypothesis test for leak detection in water distribution networks.
J. Intell. Fuzzy Syst., 2021

An Enhanced Ensemble Learning-Based Fault Detection and Diagnosis for Grid-Connected PV Systems.
IEEE Access, 2021

A Hybrid Fault Detection and Diagnosis of Grid-Tied PV Systems: Enhanced Random Forest Classifier Using Data Reduction and Interval-Valued Representation.
IEEE Access, 2021

Uncertain Dynamic Process Monitoring Using Moving Window Interval PCA.
Proceedings of the 18th International Multi-Conference on Systems, Signals & Devices, 2021

A Novel Leak Detection Approach in Water Distribution Networks.
Proceedings of the 18th International Multi-Conference on Systems, Signals & Devices, 2021

Random forest-based nonlinear improved feature extraction and selection for fault classification.
Proceedings of the 18th International Multi-Conference on Systems, Signals & Devices, 2021

Reduced GPR based RF Approach for Fault Diagnosis of Wind Energy Conversion Systems.
Proceedings of the 18th International Multi-Conference on Systems, Signals & Devices, 2021

Enhanced RF for Fault Detection and Diagnosis of Uncertain PV systems.
Proceedings of the 18th International Multi-Conference on Systems, Signals & Devices, 2021

Faults Classification in Grid-Connected Photovoltaic Systems.
Proceedings of the 18th International Multi-Conference on Systems, Signals & Devices, 2021

2020
Parametric identification of linear systems using AutoRegressive with eXogenous input model expansion on Meixner-like orthonormal bases.
Trans. Inst. Meas. Control, 2020

Nonlinear distributed model predictive control with dual decomposition and event-based communication approach.
Trans. Inst. Meas. Control, 2020

Robust distributed nonlinear model predictive control via dual decomposition approach based on game theory.
J. Frankl. Inst., 2020

Enhanced SVM-KPCA Method for Brain MR Image Classification.
Comput. J., 2020

A Novel Fault Diagnosis of Uncertain Systems Based on Interval Gaussian Process Regression: Application to Wind Energy Conversion Systems.
IEEE Access, 2020

Fault detection of uncertain nonlinear process using interval-valued data-driven approach.
Proceedings of the 17th International Multi-Conference on Systems, Signals & Devices, 2020

Machine Learning based Multiscale Reduced Kernel PCA for Nonlinear Process Monitoring.
Proceedings of the 17th International Multi-Conference on Systems, Signals & Devices, 2020

2019
Nonlinear distributed model predictive control for complex systems: application for hydraulic system.
Trans. Inst. Meas. Control, 2019

Synthesis of a Proportional Integral Derivative control law based on the Meixner-like model.
Trans. Inst. Meas. Control, 2019

Robust H∞ gain neuro-adaptive observer design for nonlinear uncertain systems.
Trans. Inst. Meas. Control, 2019

Robust predictive control based on the Meixner-like model.
J. Frankl. Inst., 2019

An improved machine learning technique based on downsized KPCA for Alzheimer's disease classification.
Int. J. Imaging Syst. Technol., 2019

Machine Learning based Reduced Kernel PCA for Nonlinear Process Monitoring.
Proceedings of the International Conference on Internet of Things, 2019

New kernel method for MRI classification.
Proceedings of the 16th International Multi-Conference on Systems, Signals & Devices, 2019

2018
Identification of a linear parameter varying system based on Meixner-like model.
Trans. Inst. Meas. Control, 2018

Reduced model of linear systems via Laguerre filters.
Trans. Inst. Meas. Control, 2018

Estimation of the order and the memory of Volterra model from input/output observations.
Int. J. Model. Identif. Control., 2018

Non-linear system modelling based on NARX model expansion on Laguerre orthonormal bases.
IET Signal Process., 2018

2017
Model reduction of discrete-time linear systems using Meixner-like filters.
IMA J. Math. Control. Inf., 2017

Determination of membership set of Meixner-like model parameters.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2017

Parametric complexity reduction of the Meixner-like model using genetic algorithms.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2017

Approximation of nonlinear term in model robotic.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2017

Centralized sliding mode control with input delay of complex system: Application to a four tank system.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2017

Gradient method for optimal expansions of MIMO ARX model on Laguerre bases.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2017

Parameter complexity reduction of multivariable systems using genetic algorithm.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2017

Nonlinear predictive control based on the bilinear-Laguerre model.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2017

Online identification of MIMO ARX-Laguerre model.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2017

2016
System approximations based on Meixner-like models.
IET Signal Process., 2016

2014
Optimal expansions of discrete-time bilinear models using Laguerre functions.
IMA J. Math. Control. Inf., 2014

Online identification of the bilinear model expansion on Laguerre orthonormal bases.
Int. J. Control, 2014

2013
Non-linear predictive controller for uncertain process modelled by GOBF-Volterra models.
Int. J. Model. Identif. Control., 2013

Online identification of the ARX model expansion on Laguerre orthonormal bases with filters on model input and output.
Int. J. Control, 2013

2012
Reduced complexity Volterra model of non-linear MISO system.
Int. J. Model. Identif. Control., 2012


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