Mohsen Alimi

Mohsen Alimi
Université de Kairouan · Qantitative Methods

B.Sc., M.Sc, Ph.D., HDR from University of Sfax, Tunisia

About

22
Publications
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Introduction
Dr. Mohsen Alimi has received the PhD degree (2011) in Quantitative Methods from University of Sfax (Tunisia). Dr. Alimi is currently an Associate Professor of the Department of Quantitative Methods in Kairouan University. His research interest includes Nonlinear Econometric Modeling and Forecasting, Nonlinear Time Series Analysis, Nonlinear Dynamics and Chaos, Nonlinear Optimization and Control, Statistics and Energy Economics. Scopus Author ID: 57191927383 https://orcid.org/0000-0001-9789-8985

Publications

Publications (22)
Article
Full-text available
In this paper, we focus on the problem of the energy transition in Tunisia were we suggest to study and modeling the nonlinear dynamic of the endogenous renewable energy cycle. As today the socioeconomic development in Tunisia is too complicated and dependent on the adopted energetic strategy. Our contribution consists on recognizing exactly the ma...
Chapter
Full-text available
It has long been recognized that many chaotic systems are known to display fractional order dynamics. Many authors begin to investigate the chaotic dynamics of fractional order dynamical systems for variant economical and technical applications. A recent focus of interest on the chaos control of several fractional order chaotic systems was mentione...
Article
Full-text available
In order to assess how seasonality affects disparities in natural gas consumption among sectors, this paper aims to study the pattern of convergence in natural gas consumption in a sample of 11 sectors in the United States between January 1973 and February 2017. In addition to the full sample, the existence of convergence is also examined in five s...
Chapter
Full-text available
In this work we will deal with the problem of optimal control by adaptive backstepping of the synchronization of chaotic nonlinear dynamical systems. This research work is motivated by both theoretical and practical challenges. Indeed, these systems cannot be stabilized directly by time invariant smooth commands. Moreover, in spite of the available...
Article
Full-text available
Critics have investigated the relationship between fossil energy and conflicts, incorporating political, military, economic and social factors that have led to these clashes. Nevertheless, to our knowledge, no econometric study has examined the causal relationship between renewable or fossil energy and conflicts such as terrorism in the case of Pak...
Chapter
Full-text available
This chapter seeks to give a better understanding of the complexity of reconstructing the hidden endogenous innovation cycle in the currently complicated instable domain of Tunisia’s energy transition. We aim to evaluate whether energy innovation cycle dynamics analysis in Tunisia helps boost energy efficiency and transition performance to sustaina...
Chapter
Full-text available
In this work we will deal with the problem of optimal control by adaptive backstepping of the synchronization of chaotic nonlinear dynamical systems. This research work is motivated by both theoretical and practical challenges. Indeed, these systems cannot be stabilized directly by time invariant smooth commands. Moreover, in spite of the available...
Book
Full-text available
Ce livre s'articule dans le cadre de l'économétrie des processus non linéaires en moyennes et de la théorie de chaos. Il admet pour objet l'analyse et la prévision de la conjoncture en Tunisie. Notre fil conducteur provient tout simplement de la nécessité d'étudier et de prédire le phénomène contemporaine de l'instabilité endogène des fluctuations...
Conference Paper
Full-text available
In this paper, we propose an extensive overview of Hidden Markov models (HMM) with variable transition probabilities as a new method adequate to model and analyze the nonlinear dynamics of cyclical fluctuations related to the Tunisian industrial endogenous cycle with structural breaks. This stochastic model based on assumption of dynamics phase-dep...
Conference Paper
Full-text available
Nonlinear time series analysis is becoming an important measurements tool for understand of many complex phenomena. In the fact, the study of complicated dynamics from the nonlinear time series approach using chaos theory is one of several appropriate methods which are based on a necessary multiple test methodology for characterizing hidden chaos f...
Conference Paper
Full-text available
Modeling the nonlinear dynamics of renewable energy systems recently became the most attracted domain for many researchers. Several study have approved that such systems are highly nonlinear dynamics systems and can exhibit usually a cascade of bifurcation phenomenon and in many cases complexes chaotic oscillations. The subject of this paper is to...
Conference Paper
Full-text available
Modeling and forecasting the nonlinear dynamics of renewable energy cycles recently became the most attracted domain for many researchers. Several study have approved that such behaviors are highly nonlinear dynamics cycles and can exhibit usually an irregular phenomenon and complicated specially for prediction. In his context, we try to provide so...
Article
Full-text available
There are many areas of research related to the empirical analysis of time series which support The Real Business Cycle Theory, but researchers have rarely explored the possibility that business cycle fluctuations have a nonlinear aspect and that is intrinsically a phenomenon without exogenous chocks. According to the theoretical exception of Keyne...
Conference Paper
Full-text available
Dans ce papier, on se propose de mettre en évidence la dynamique non linéaire du système d'innovation industrielle en Tunisie. Á cet égard, la plupart des études ont confirmé que l'innovation est considérée comme un processus dynamique complexe et interdépendant dont le caractère non linéaire et hautement interactif est largement reconnu, mais le f...
Article
Full-text available
Dans ce papier, on se propose d'analyser et de prévoir l'évolution à court terme des fluctuations conjoncturelles en Tunisie. Á cet égard, la plupart des études ont confirmé que pour expliquer la dynamique du cycle économique, généralement à caractère non-linéaire, il faut rapporter son comportement, à un processus non linéaire avec changement de r...
Article
Full-text available
Dans ce papier, on se propose de mettre en évidence la dynamique non linéaire du système d'innovation industrielle en Tunisie. Á cet égard, la plupart des études ont confirmé que l'innovation est considérée comme un processus dynamique complexe et interdépendant dont le caractère non linéaire et hautement interactif est largement reconnu, mais le f...
Conference Paper
Full-text available
Dans ce papier, on se propose d'examiner et puis modéliser et analyser les tendances que peut offrir une stratégie énergétique prometteuse basée sur l'exploitation rationnelle des différentes sources des énergies renouvelables afin de contribuer positivement au développement économique et social dans un domaine de post-révolution fluctuant et insta...
Conference Paper
Full-text available
Dans ce papier, on se propose d'analyser et de prévoir l'évolution à court terme des fluctuations conjoncturelles en Tunisie. Á cet égard, la plupart des études ont confirmé que pour expliquer la dynamique du cycle économique, généralement à caractère non-linéaire, il faut rapporter son comportement, à un processus non linéaire avec changement de r...
Conference Paper
Full-text available
Nous signalons que, pour expliquer le cycle économique, généralement à caractère non linéaire, il faut rapporter son comportement, soit à un processus dynamique déterministe non linéaire, admettant la forme d’un cycle limite, qui caractérise le mécanisme d’émergence endogène des fluctuations cycliques auto-entretenues à distribution asymétrique, en...
Thesis
Full-text available
The nonlinear forecast of univariate time-series with discrete time is an exciting area of research. To develop efficient forecasting models, it must be able to understand precisely the related issues, unresolved in their particularities. The major difficulty is to choose from a possible family of future data generating process. However, normally i...
Conference Paper
Full-text available
Cette étude porte sur la détermination du sens de la causalité entre le développement technologique et la croissance économique en Tunisie au cours de la période 1961-2003 au niveau du secteur R&D. Après un rappel théorique défendu par l’histoire économique, nous présentons dans le cadre d’une modélisation VAR, les méthodes économétriques utilisées...

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Projects

Projects (3)
Project
Dynamical systems theory is a field of mathematics used to describe the behavior of systems involving many interacted components with a complex, multi-level dynamic response under conditions of uncertainty. From this perspective, complex systems are identified on the basis of their various chaotic features that can be simplified to understand the stability schemes and control the dynamics of structuring interactions sufficiently to allow the determination of the causal loop scheme that defines the structure and behavior of the chaotic system. In various research contexts, control theory plays an important role as a fundamental theory dealing with the behavior of complex dynamical systems. Its importance lies in determining the performance of the control schemes of a system and thus the understanding and control of complex systems can be simplified. In this context, this project aims to study how to determine the performance of control charts for complex dynamical systems.
Project
The urgent need to have access to reliable models for an accurate estimation of the required load necessary to understand the seasonal changes resulting from the periodic fluctuations that occur frequently in a time series during the year which leads us to investigate forecasting methods. Forecasting is defined as an estimate of the value of a phenomenon in the future based on past and present data for that phenomenon. This project aims to study and analyze the time series of seasonal pregnancy data. Due to the accuracy and flexibility of these models as a statistical method for processing dynamic data they are very suitable for prediction.
Project
This work aims to simulate and model the chaotic dynamics in the field of endogenous instability and fluctuations of dynamic macroecomic models during the chaotic transition post-revolution. It based on non-linear analysis techniques for explanation the complex dynamics in economic systems and its implication.