Abdelkrim Mohamed Naceur

University of Gabès · Département de Génie Electrique-Automatique

Detecting epileptic seizures through Electroencephalography (EEG) is a crucial but challenging task due to the time-consuming and error-prone nature of visual analysis in long-term EEG recordings. To overcome these limitations, numerous approaches have been proposed. In this work, we present a novel automated approach to seizure detection. Our appr...

In wireless sensor networks (WSN), conserving energy is usually a basic issue, and several approaches are applied to optimize energy consumption. In this article, we adopt feature selection approaches by using minimum redundancy maximum relevance (MRMR) as a feature selection technique to minimize the number of sensors thereby conserving energy. MR...

. Magnetic Resonance Imaging (MRI) represents a successful diagnostic technique with high sensitivity for analyzing lesions in Multiple Sclerosis (MS). Two techniques for assessing this disease are used in this paper: the Decimal Descriptor Pattern (DDP) and the Local Binary Pattern (LBP). These operators are used to extract the most important fe...

Electroencephalography (EEG) is a widely used tool for the detection of epileptic seizures. However, the visual analysis of long-term EEG recordings is subjective, time-consuming, and prone to errors. To address these issues, various algorithms for epileptic seizure detection have been proposed. In this study, a new automatic seizure detection m...

Multiple Sclerosis (MS) lesions is a chronic autoimmune inflammatory disease that causes damage to the nerves in the spinal cord and the brain. Magnetic Resonance Imaging (MRI) is a successful, highly sensitive MS lesion diagnostic technique. It is used to monitor the activity and progression of this disease. Monitoring the progression of mult...

The main goal of this work is the fault tolerant control (FTC) for the uncertain neutral time-delay system with and without delayed input. For the uncertain neutral time-delay system with not delayed input, we consider the adaptive observer for the fault detection and estimation steps. For the case of delayed input system, we consider the robust st...

Usually, identifying dynamic parameters for robots involves utilizing the Inverse Dynamic Model (IDM) which is linear in relation to the parameters being identified, alongside Linear Least Squares (LLS) methods. To implement this approach, precise measurements of both torque and position must be obtained at a high frequency. Additionally, velocitie...

The authors’ work deals with modelling with coloured Petri nets (CPN) of network controlled systems (NCS) and exposes a proposal of a sensor fault detection and prevention mechanism. In NCS, the network must be viewed as part of the system and not just a means of communication. For this, two issues must be considered. The first consists of adapting...

Wireless Sensor Networks (WSNs) send their data collaboratively across the network to the main base station responsible for analyzing and processing data. In WSNs, a battery with limited energy is used to drive the systems. Thus, energy consumption in WSNs is a serious problem that hinders their applications. The sensor will fail or be scrapped aft...

In the recent past the Internet of Things (IoT) is moving from interactive objects to smart objects. The number of smart devices or sensors built-in becomes larger. The increase in the number of services exchanged between connected objects has led to the creation of a new concept called Social IoT (SIoT), in which heterogeneous or homogeneous objec...

Our work deals with the problems of communication delays, packets dropouts, and quantization errors in the signal transmitted in network-controlled systems (NCS). Although NCS provides a paradigm for adapting to frequent changes in the manufacturing industry, modeling and managing operations are difficult issues due to the complex interactions betw...

Currently, the growing demand for electric vehicles (EVs) makes them one of the fastest-growing sectors in the electricity market. Given that the most important selection criteria for the choice of EVs electric motor drive are mainly related to the reliability, the energy efficiency, and the robustness, five-phase permanent magnet synchronous motor...

In the recent past the Internet of Things (IoT) is moving from interactive objects to smart objects. The number of smart devices or sensors built-in becomes larger. The increase in the number of services exchanged between connected objects has led to the creation of a new concept called Social IoT (SIoT), in which heterogeneous or homogeneous objec...

This paper proposes a novel fault-tolerant control (FTC) strategy for Heating, Ventilating and Air Conditioning (HVAC) system subjected by actuator faults. This strategy is designed using an integral synergetic control (ISC) to detect and compensate actuator faults with ensuring total disturbance rejection. The proposed FTC strategy is based on an...

This paper deals with the problem of joint state and unknown input estimation for stochastic discrete-time linear systems subject to intermittent unknown inputs on measurements. A Kalman filter approach is proposed for state prediction and intermittent unknown input reconstruction. The filter design is based on the minimization of the trace of the...

The concept of the Internet of Things (IoT) is widely discussed. IoT is one of the emerging technologies that have caught the attention of many researchers. The increase in the number of exchanges of services between heterogeneous or homogeneous connected objects with the integration of social networking concepts gives rise to the concept of the So...

This chapter deals with the output regulation of nonlinear control systems in order to guarantee desired performances in the presence of plant parameters variations. The proposed control law structures are based on the fractional order PI (FOPI) and the CRONE control schemes. By introducing the multimodel approach in the closed-loop system, the pre...

The problem of fault estimation and Fault-Tolerant Control (FTC) approach for two-time-scale systems with time delay is investigated in this paper. This new approach consists of constructing a PI observer in order to estimate states and faults firstly and to design a control law secondly. The control scheme is based on the Lyapunov stability theory...

The Decimal Descriptor Patterns (DDP) operator is a recent method of analyzing textures. Based on structural analysis of pattern distribution, the DDP presents an excellent description of the spatial structure of image texture. In this chapter, two successful applications of this operator are highlighted. The first one consists in Multiple Sclerosi...

In order to keep wind turbines connected and in operation at all times despite the occurrence of some faults, advanced fault detection and accommodation schemes are required. To achieve this goal, this paper proposes to use the Linear Parameter Varying approach to design an Active Fault Tolerant Control for wind turbines. This Active Fault Tolerant...

A sensorless Backstepping drive was investigated in this work for the Five phase Permanent Magnet Synchronous Motor (PMSM), using an Unknown Input Observer for speed and load torque estimation. This control technique can solve the problem of the speed sensor fault, where the feedback speed information was deduced directly from the virtual sensor. M...

In this paper, a novel algorithm for automatic fabric defect classification was proposed, based on the combination of a texture analysis method and a support vector machine SVM. Three texture methods were used and compared, GLCM, LBP, and LPQ. They were combined with SVM’s classifier. The system has been tested using TILDA database. A comparative s...

The selection of electric machines for an Electric Vehicle (EV) is mainly based on reliability, efficiency, and robustness, which makes the 5-phase Permanent Magnet Synchronous Motor (PMSM) among the best candidates. However, control performances of any motor drive can be deeply affected by both: 1) internal disturbances caused by parametric variat...

Recently, interest has been increased on model-based approaches for fault detection and particularly focused on observers. The fault detection methods based on observers are considered as successful method. This paper presents a comparative study between two observation techniques applied to field oriented control of permanent magnet synchronous ma...

This work investigates fault detection of linear parameter-varying (LPV) systems with varying time delay. An unknown input observer (UIO) is designed here to estimate faults and to generate residuals. Based on the descriptor approach, we elaborate an augmented system which considers faults as auxiliary. Only sensor faults are considered in this wor...

This chapter focuses on the study of the effects of design variables on the permanent magnet (PM) demagnetization of a permanent magnet synchronous motor (PMSM) using a two-dimensional (2D) finite element analysis (FEA) software package. The aim is to investigate the shape design of a permanent magnet considering the effect of the pole embrace and...

This work presents fault-tolerant control of two-time-scale systems in both linear and nonlinear cases. An adaptive approach for fault-tolerant control of singularly perturbed systems is used in linear case, where both actuator and sensor faults are examined in the presence of external disturbances. For sensor faults, an adaptive controller is desi...

In this chapter we have studied the path planning problem of a group of autonomous Wheeled Mobile Robots in a very dynamic workspace. The work focuses on the combination of artificial potential field approach with the decentralized architecture to coordinate the movements of robots. The technique implemented is adapted to solve the path planning pr...

Energy presents a crucial subject of study for researchers and specialists. Our work is interested in the technology of IEEE 802.15.4. Indeed, the latter proves to display a num- ber of noticeable specificities and characteristics qualifying it, displaying two different operating modes, namely the Beacon enabled mode and the non-Beacon enabled one....

The current study is set to investigate the problem of planning trajectories for a multi-robot system in a dynamic environment. The planning study is conducted in a “barrier-free” and “with obstacle” environment, based on the artificial potential field (APF) technique. This study seeks to improve the APF method in order to have good trajectory plan...

This paper deals with the output regulation of nonlinear control systems in order to guarantee desired performances in the presence of plant parameters variations. The proposed control law structures are based on the fractional order PI (FOPI) and the CRONE control schemes. By introducing the multimodel approach in the closed-loop system, the prese...

This paper deals with a novel diagnosis framework for robust fault detection and estimation purposes by combining an ordinary Unknown Input Observer (UIO) with the port-Hamiltonian formalism. Based on energy aspect, the full order Unknown Input Hamiltonian Observer (UIHO) design scheme guarantees robust residual generation through decoupling the di...

This work studies the problem of fault detection and estimation using a Fast Adaptive Observer algorithm and it introduces then a procedure for the design of reconfigurable linear quadratic (LQ) state-feedback control tolerant to actuator fault. Then, to overcome the drawback of wheeled mobile robot’s model responses when including a fault, a Fast...

This paper deals with robust passive and active fault tolerant control strategies for uncertain systems with state time delays. First, the control law is formulated as H∞ model-matching problem in order to guarantee dynamic performances and to compensate fault effects. Indeed, a new stability condition, based on the Lyapunov-Krasovskii theory is de...

Sensors are currently being used for applications in buildings. In sensor grids, a significant amount of sensor data may be lost. This paper tackles the issue of unreliable sensors in buildings. The common sensor faults known in the literature are bias and outliers. Occurrences of data gaps have not been given adequate attention in the research lit...

Synergetic control is proposed for heating, ventilating and air-conditioning (HVAC) system control. The synergetic controller is developed using the nonlinear model of the HVAC system. Occupancy information in each zone is required in the design of the controller which offers inherent comfort according to the occupancy in the zone. The stability of...

This paper deals with the Active Disturbance Rejection Control (ADRC) of a five-phase Permanent Magnet Synchronous Motors (PMSMs) to overcome both of sensibility and limited performances of traditional control strategies against parameters variation and environmental disturbances. The proposed control strategy is based on the Extended State Observe...

Wireless Sensor Network (WSN) based on IEEE 802.15.4 technology continues to gain considerable importance. The present work is based on this standard and a cluster tree network topology. This network is divided into many subgroups each of which is charac- terized by its special IEEE parameters (Beacon Order (BO) and Superframe Order (SO)). A mathem...

This paper presents the fault tolerant control (FTC) of a flexible joint robot using singular perturbation method in order to compensate for the lost performance due to the occurrence of actuator fault and the uncertainty. This FTC is based on Lyapunov redesign principle. The singular perturbation method is used to reduce the dynamic model of the f...

Building systems are highly vulnerable to different kinds of faults and failures. In fact, various faults, failures and human behaviors could affect the building performance. This paper tackles the detection of unreliable sensors in buildings. Different literature surveys on diagnosis techniques for sensor grids in buildings have been published but...

The novel contribution of this work is to introduce a new promising method for the analysis of textures: the Decimal Descriptor Patterns (DDP). Two best known methods of texture measures, always considered as references in image analysis are chosen for comparison: the Local Binary Patterns (LBP) and the Grey Level Co-occurrence Matrix (GLCM). We re...

In this paper, a novel synergetic fault-tolerant control (FTC) strategy is developed to compensate for pitch actuator fault. The proposed technique is based on an adaptive synergetic observer and a reconfigurable controller. The proposed observer is developed to estimate the fault value that will be used in turn for the design of the reconfigurable...

This work deals with the fault estimation of actuator fault for a polymer electrolyte membrane fuel cell (PEMFC) using descriptor approach. The main contribution of this paper is to consider unknown inputs and time delay in the output. Delay-dependent sufficient conditions for the design of an unknown input observer with time delays are given in te...

This work presents a method to increased the fault detection accuracy in wind turbine system using a combination of Wavelet, Principal Component Analysis (PCA), Parseval’s theorem and Neural Networks. Preprocessing, feature extraction and classification rules are three crucial issues for fault detection. To employ this issues, a two stages hybrid a...

The current study is set up to investigate the problem of planning the trajectories of a multi-robot system. It puts emphasis on the idea of using distributed architecture to plan the trajectories of a group of wheeled mobile robots. Each robot must be able to detect and avoid collision with both static and dynamic obstacles present in its environm...

The IEEE 802.15.4 is designed for wireless personal area networks. Indeed, wireless personal area network turns out to help greatly in maintaining a flexible mode of communication within limited area networks. It is in this context that our present study can be set, in which the beacon-enabled mode is enabled with cluster tree topology to reach the...

This paper aims at designing a diagnosis tool that shall be used to support experts for detecting and localizing faults in a sensor grid of a building system. It is a tool-aided diagnosis with mathematical models and reasoning tools that determines whether a sensor is faulty or not. It is based on detection tests and logical diagnosis analysis for...