Moêz Soltani

Orcid: 0000-0002-9137-7182

According to our database1, Moêz Soltani authored at least 20 papers between 2012 and 2022.

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

Timeline

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Bibliography

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
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

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

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

Fuzzy sliding mode controller design using scalar sign function for a class of T-S fuzzy models.
Proceedings of the 6th International Conference on Control, 2019

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

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

2017
Design of new fuzzy sliding mode controller based on parallel distributed compensation controller and using the scalar function.
Math. Comput. Simul., 2017

Parameter Optimization of MIMO Fuzzy Optimal Model Predictive Control By APSO.
Complex., 2017

Iterative and recursive subspace algorithms for identification of Hammerstein model with SH nonlinearity.
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

2016
Comparative study on textual data set using fuzzy clustering algorithms.
Kybernetes, 2016

2015
A PSO-Based Fuzzy c-Regression Model Applied to Nonlinear Data Modeling.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2015

2014
Model predictive control based on chaos particle swarm optimization for nonlinear processes with constraints.
Kybernetes, 2014

2013
A novel weighted recursive least squares based on Euclidean particle swarm optimization.
Kybernetes, 2013

MPC based on NBPSO for nonlinear process with constraints.
Proceedings of the 13th International Conference on Hybrid Intelligent Systems, 2013

2012
A novel fuzzy c-regression model algorithm using a new error measure and particle swarm optimization.
Int. J. Appl. Math. Comput. Sci., 2012


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