A5042145292- Adaptive Control of Nonlinear Systems
- Advanced Control Systems Optimization
- Stability and Control of Uncertain Systems
- Fault Detection and Control Systems
- Veterinary Equine Medical Research
- Control Systems and Identification
- Advanced Differential Equations and Dynamical Systems
- Photovoltaic System Optimization Techniques
- Data Management and Algorithms
- Advanced Database Systems and Queries
- Control and Stability of Dynamical Systems
- Microgrid Control and Optimization
- Semantic Web and Ontologies
- Stability and Controllability of Differential Equations
- Recommender Systems and Techniques
- Tendon Structure and Treatment
- Numerical methods for differential equations
- Solar Radiation and Photovoltaics
- Extremum Seeking Control Systems
- Control and Dynamics of Mobile Robots
- Neural Networks Stability and Synchronization
- Advanced Control Systems Design
- Chemical Synthesis and Characterization
- Chaos control and synchronization
- Sensorless Control of Electric Motors
University of Ha'il
2016-2025
Manouba University
2019-2025
University of Sfax
2004-2022
University of Hafr Al-Batin
2022
École Normale Supérieure - PSL
2004-2018
Universiti Sains Malaysia
2018
École Nationale Vétérinaire de Toulouse
2012-2018
University College Dublin
2014-2017
University of Life Sciences in Poznań
2016
École Nationale Vétérinaire d'Alfort
2000-2015
Photovoltaic (PV) is a highly promising energy source because of its environment friendly property. However, there an uncertainty present in the modeling PV modules owing to varying irradiance and temperature. To solve such uncertainty, fuzzy logic control-based intelligent maximum power point tracking (MPPT) method observed be more suitable as compared with conventional algorithms systems. In this paper, isolated system using push pull converter logic-based MPPT algorithm presented. The...
With the increasing demand for electrical energy and challenges related to its production, along with need be environmentally friendly achieve sustainability future generations, proton exchange membrane fuel cells (PEMFCs) are emerging as a clean source that can effectively replace conventional sources, in various fields of application especially field transportation exploiting electric vehicles (EVs). To improve development control PEMFCs, precise determination mathematical model remains an...
Due to the increasing number of COVID-19 cases, there is a remarkable demand for robots, especially in clinical sector. SARS-CoV-2 mainly propagates due close human interactions and contaminated surfaces, hence, maintaining social distancing has become mandatory preventive measure. This generates need treat patients with minimal doctor-patient interaction. Introducing robots healthcare sector protects frontline workers from getting exposed coronavirus as well decreases medical personnel can...
In recent years, researchers have focused on improving the efficiency of photovoltaic systems, as they an extremely low compared to fossil fuels. An obvious issue associated with systems (PVS) is interruption power generation caused by changes in solar radiation and temperature. As a means energy performance such system, it necessary predict meteorological conditions that affect PV modules. part proposed research, artificial neural networks (ANNs) will be used for purpose predicting system’s...
The impact of artificial selection on the masticatory apparatus dogs has been poorly studied, and comparative data with subjected to more natural constraints are lacking. This study explores jaw musculature Tunisian street dogs, which largely free from influence breed-specific selection. muscles (digastric, masseter, temporalis, pterygoid) 27 adult were dissected muscle mass physiological cross-sectional area (PCSA) quantified, providing a baseline for comparisons between versus controlled...
This paper introduces a novel Runge–Kutta (RK) pair of orders 8(6) designed specifically for solving linear inhomogeneous initial value problems (IVPs) with constant coefficients. The proposed method requires only 11 stages per iteration, significant improvement over conventional RK pairs 8(7), which typically demand 13 stages. reduction in is achieved by leveraging smaller set order conditions tailored to problems, where traditional simplification techniques are not applicable. To address...
ABSTRACT In this paper, we introduce a new family of tenth‐order hybrid Numerov‐type methods designed for solving second‐order initial value problems (IVPs) with enhanced accuracy and efficiency. Our proposed build on the foundation existing high‐order techniques incorporate advanced strategies step size adaptation error control. We provide comprehensive analysis theoretical underpinnings these validate their performance through extensive numerical experiments.
Fuzzy theory is widely studied and applied. This article introduces an adaptive control scheme for a class of non-linear systems with Markov jump switching. The introduced supposes that the system submitted to external disturbances under imperfect premise matching. By using discrete-time Takagi–Sugeno fuzzy models, sliding mode observer-based utilized estimate unmeasured states system. We build two switching manifolds disturbance observer systems. Then, linear matrix inequality-based...
The autonomous navigation of an Unmanned Aerial Vehicle (UAV) relies heavily on the sensors. UAV's level autonomy depends upon various systems, such as state measurement, mapping, and obstacle avoidance. Selecting correct components is a critical part design process. However, this can be particularly difficult task, especially for novices there are several technologies available market, each with their own individual advantages disadvantages. For example, satellite-based should avoided when...
In this article, we provide a metaheuristic-based solution for stability analysis of nonlinear systems. We identify the optimal level set in state space these systems by combining two optimization phases. This is definite negative region time derivative polynomial Lyapunov function (LF). Then, consider global problem stated The first phase an external to search positive LF, whose under linear matrix inequalities. candidate LF coefficients are adjusted using Jaya metaheuristic algorithm....