Achraf Jabeur Telmoudi

Orcid: 0000-0001-5823-4641

According to our database1, Achraf Jabeur Telmoudi authored at least 43 papers between 2008 and 2024.

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

Timeline

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Bibliography

2024
Enhancing Model Robustness in Battery Health Prediction through Advanced Input Features.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2024

Knapsack algorithm for data communication description and energy management in Internet of Things System: Smart Grid.
Proceedings of the 10th International Conference on Control, 2024

A preliminary study about multi-robot task allocation with energy constraints.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2023
Hybrid Filtered Beam Search Algorithm for the Optimization of Monitoring Patrols.
J. Intell. Robotic Syst., February, 2023

Intelligence Artificial Algorithm-Based on Sliding Mode Control MPPT for a Photovoltaic System.
Proceedings of the 9th International Conference on Control, 2023

2022
Interdisciplinary Methods and Approaches for Cybernetics and Systems Modeling.
Cybern. Syst., 2022

Water Cycle Algorithm (WCA): A New Technique to Harvest Maximum Power from PV.
Cybern. Syst., 2022

Comparison of Deep Learning Architectures for Short-Term Electrical Load Forecasting Based on Multi-Modal Data.
Cybern. Syst., 2022

Power management strategies of hybrid storage system suppling electric vehicle.
Proceedings of the 30th Mediterranean Conference on Control and Automation, 2022

A Comparative study of three AI prediction algorithms based on measured databases for an optimal Smart Grid.
Proceedings of the 8th International Conference on Control, 2022

Prediction of aging electric vehicle battery by multi-physics modeling and deep learning method.
Proceedings of the 8th International Conference on Control, 2022

2021
A petri nets based approach for the optimisation of surveillance patrols.
Int. J. Sens. Networks, 2021

Prediction of aging of battery for electric vehicles based on a modified version of neural networks.
Proceedings of the 29th Mediterranean Conference on Control and Automation, 2021

Optimization of maintenance patrols planning.
Proceedings of the 29th Mediterranean Conference on Control and Automation, 2021

Deep Learning Algorithm to Predict The Integration Efficiency Of Wind Turbine In Smart Grid.
Proceedings of the 18th International Multi-Conference on Systems, Signals & Devices, 2021

2020
Modeling and state of health estimation of nickel-metal hydride battery using an EPSO-based fuzzy c-regression model.
Soft Comput., 2020

Parameters identification and discharge capacity prediction of Nickel-Metal Hydride battery based on modified fuzzy c-regression models.
Neural Comput. Appl., 2020

Parameter estimation of nonlinear systems using a robust possibilistic c-regression model algorithm.
J. Syst. Control. Eng., 2020

New Methods and Approaches in Decision and Control of Intelligent and Cyber Systems.
Cybern. Syst., 2020

Minimum Initial Marking Estimation of Labeled Petri Nets Based on GRASP Inspired Method (GMIM).
Cybern. Syst., 2020

Genetic-Based Approach for Minimum Initial Marking Estimation in Labeled Petri Nets.
IEEE Access, 2020

Improved Genetic Algorithm Approach Based on New Virtual Crossover Operators for Dynamic Job Shop Scheduling.
IEEE Access, 2020

A proposal ANFIS estimation algorithm for optimal sizing of a PVP/Battery system.
Proceedings of the 7th International Conference on Control, 2020

Configuration of surveillance patrols with Petri nets for safety issues.
Proceedings of the 7th International Conference on Control, 2020

2019
Design of a robust interval-valued type-2 fuzzy c-regression model for a nonlinear system with noise and outliers.
Soft Comput., 2019

Minimum Initial Marking Estimation in Labeled Petri Nets Using Simulated Annealing.
Proceedings of the Advancing Technology Industrialization Through Intelligent Software Methodologies, Tools and Techniques, 2019

Towards a Minimum Initial Marking Estimation Procedure for P-Time Labelled Petri net Systems.
Proceedings of the 6th International Conference on Control, 2019

2018
Editorial to the special section on control and decision in engineering.
J. Syst. Control. Eng., 2018

Identification of pH neutralization process based on a modified adaptive fuzzy c-regression algorithm.
Proceedings of the 7th International Conference on Systems and Control, 2018

An Improved Genetic Algorithm with Local Search for Solving the DJSSP with New Dynamic Events.
Proceedings of the 23rd IEEE International Conference on Emerging Technologies and Factory Automation, 2018

Parameter identification and state of heath evaluation for Nickel-Metal Hydride batteries based on an improved clustering algorithm.
Proceedings of the 5th International Conference on Control, 2018

Method of Genetic Algorithms for the Optimal Investment Portfolio.
Proceedings of the 5th International Conference on Control, 2018

Multi-Site Manufacturing System Scheduling Using Petri Nets.
Proceedings of the 15th International Multi-Conference on Systems, Signals & Devices, 2018

2017
Reconfigurable manufacturing system: Overview and proposition of new approach.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2017

Robust possibilistic c-regression models algorithm.
Proceedings of the 4th International Conference on Control, 2017

Effective Lyapunov level set for nonlinear optimal control. Application to turbocharged diesel engine model.
Proceedings of the 4th International Conference on Control, 2017

Stochastic cases of the dynamic job shop problem based on the genetic algorithm to minimize.
Proceedings of the 4th International Conference on Control, 2017

2016
PSO for Job-Shop Scheduling with Multiple Operating Sequences Problem - JS.
Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016), 2016

System performance improvement by dynamic monitoring.
Proceedings of the International Conference on Control, 2016

A new approach based on Global Velocity Particle Swarm Optimization to solve job-shop scheduling problems, PSO-VG-JSSP.
Proceedings of the International Conference on Control, 2016

2012
A New RBF Neural Network for Prediction in Industrial Control.
Int. J. Inf. Technol. Decis. Mak., 2012

2009
Modeling of Robustness Margins of the Control of a Predictive Control-Supervisory Architecture.
J. Univers. Comput. Sci., 2009

2008
Robust control of a manufacturing system: Flow-quality approach.
Proceedings of 13th IEEE International Conference on Emerging Technologies and Factory Automation, 2008


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