Mohamed Benrejeb

• Professor Emeritus
• Professor Emeritus at National Engineering School of Tunis

In this paper, a new PID-type fuzzy logic controller (FLC) tuning strategy is proposed using a particle swarm optimization (PSO) approach. In order to improve further the performance and robustness properties of the proposed PID-fuzzy approach, two self-tuning mechanisms are introduced. The scaling factors tuning problem of these PID-type FLC struc...

This paper deals with stability of discrete-time nonlinear Lur’e-type systems. Through the singular perturbations technique, the original system is reduced to a block-diagonal form with slow and fast decoupled modes. Stability conditions of the two-time-scale decoupled model based on Borne-Gentina practical stability criterion and the use of matric...

This paper investigates the stability problem of a class of discrete-time singularly perturbed Tagagi–Sugeno (T-S) fuzzy models. Stability conditions of reduced slow models, based on the use of Borne and Gentina practical stability criterion and matrices in the arrow form, are developed and compared with those concerning the initial singularly pert...

This paper introduces an innovative heuristic optimization approach, referred to as Optimization Approach-Single Hoist Cyclic Scheduling Problem (OA-SHCSP), which aims to minimize the cycle time of the Single Hoist Scheduling Problem (SHCSP). The effectiveness of this proposed heuristic is compared with a previously established heuristic, the Earli...

In this paper, PID-based controllers are designed for linear, nonlinear and simplified models of an Electronic Throttle Valve (ETV). However, the ETV system is basically nonlinear and can be described by different mathematical models. Otherwise, due to the non-smooth nonlinearities such as friction and nonlinear spring in the system, it is difficul...

In this paper, an RST switching bi-controller, based on flatness and on Luenberger observers, is designed to control the opening angle change of an Electronic Throttle Valve (ETV), to compensate unexpected external disturbances and to detect sensor faults. Two identified mathematical linear models are established to simulate the ETV for two differe...

The proposed secure communication system is based on mixed discrete-time chaotic systems in this study. To increase signal transmission security over the public channel, this system is composed of two chaotic systems on the transmitter and receiver sides. Borne and Gentina criterion associated with the Benrejeb arrow form matrix is used for stabili...

In this paper, two PID conventional controllers of an Electronic Throttle Valve (ETV), based observers, are developed to estimate the opening angle of the electronic throttle, to compensate unexpected external disturbances and to detect sensor or system faults. The first approach is based on the use of a Luenberger Observer (LO) in order to detect...

This paper deals with bifurcation analysis exhibition of chaotic behavior of programmed DC/DC Buck converter. This phenomenon occurs due to variation of a input voltage and reference current. Two different types of bifurcation paths have been obtained as part of another bifurcation arising from variation of suitable chosen converter inputs.

A new heuristic approach, called Single Hoist Cyclic Scheduling Problem (SHCSP), is presented in this paper to minimize the cycle time of the single hoist scheduling problem. This heuristic is compared to a MIP model solved by Ilog-Cplex Solver. Simulation results show the efficiency of the SHCSP heuristic, where the optimal solution is reached for...

This chapter proposes an optimization technique of Artificial Neural Network (ANN) controller, of single-input single-output time-varying discrete nonlinear system. A bio-inspired optimization technique, Particle Swarm Optimization (PSO), is proposed to be applied in ANN to avoid any possibilities from local extreme condition. Further, a PSO based...

Les travaux présentés dans cet article portent sur une comparaison entre la commande RST par placement de pôles avec celle par platitude. Les approches ont été développées, dans un contexte de temps discret en effectuant une génération de la trajectoire de référence à partir de la sortie plate et en analysant ensuite l'erreur de poursuite en boucle...

The study of the human handwriting process shows that bell-shaped velocity profiles are generally observed in the handwriting motion. In this paper, a mathematical model, using input and output data for forearm muscles activities, named ElectroMyoGraphic signals (EMG), and velocities of a pen tip moving on (x, y) plan, is proposed. Using the output...

Despite muscle electrical signals (electromyography [EMG]) having been used for decades to decode movements, their application in modeling handwriting has received less attention in the scientific community. This chapter reviews the most effective handwriting models that have been proposed to describe the relationship between hand and/or forearm EM...

A new adaptive kernel principal component analysis (KPCA) for non-linear discrete system control is proposed. The proposed approach can be treated as a new proposition for data pre-processing techniques. Indeed, the input vector of neural network controller is pre-processed by the KPCA method. Then, the obtained reduced neural network controller is...

Proceedings of the 4th International Conference on Recent Advances in Electrical Systems ICRAES’19, pp. 249-253,, Hammamet,Tunisia,

In this paper, nonlinear observer design for a chaotic system has been investigated. Indeed, a high gain observer and a sliding mode observer are proposed to the Colpitts circuit. The synthesis of these observers took place under certain sufficient conditions arising directly necessary and sufficient conditions established for nonlinear systems. Co...

This paper proposes an adaptive switch controller (ASC) design for the nonlinear multi-input multi-output system (MIMO). In fact, the proposed method is an online switch between the neural network adaptive PID (APID) controller and the neural network indirect adaptive controller (IAC). According to the design of the neural network IAC scheme, the a...

The handwriting process is one of the most important and complex activities of the human body. In recent years, modelling and analyzing and controlling it have received great attention leading to large important motion studies results. This paper attempts to present an overview of recent works about our proposed approaches and other ones to model a...

This paper describes a reduced multi-model identification of nonlinear system. Indeed, the multi-model approach is based on the neural networks. Then the kernel principal component analysis is used to reduce the dimensionality of the input vector of the neural networks. The proposed architecture of the neural networks model is multilayered perceptr...

This paper describes a reduced multi-model identification of nonlinear system. Indeed, the multi-model approach is based on the neural networks. Then the kernel principal component analysis is used to reduce the dimensionality of the input vector of the neural networks. The proposed architecture of the neural networks model is multilayered perceptr...

Anis AYADI, Boutheina SFAIHI, Mohamed BENREJEB On the Use of Augmented Model to Continuous-Time System Stability Study International Conference on Advanced Systems and Emergent Technologies, 19-22 March 2019, Hammamet

This paper proposes an adaptive tuning of Proportional-Integrate-Derivative (PID) controller. This approach is developed to address a class of Multi-Input Multi-Output (MIMO) nonlinear systems. The adaptive PID controller is built based on neural networks combining the PID control and explicit neural structure. The strategy of training consists of...

This paper proposes an adaptive tuning of Proportional-Integrate-Derivative (PID) controller. This approach is developed to address a class of Multi-Input Multi-Output (MIMO) nonlinear systems. The adaptive PID controller is built based on neural networks combining the PID control and explicit neural structure. The strategy of training consists of...

Many investigators are interested in improving the control strategies of hand prosthesis to make it functional and more convenient to use. The most used control approach is based on the forearm muscles activities, named ‘ElectroMyoGraphic’ (EMG) signal. However, these biological signals are very sensitive to many disturbances and are generally unpr...

This paper deals with the synthesis of a new fuzzy controller applied to Electronic Throttle Valve (ETV) affected by an unknown input in order to enhance the rapidity and accuracy of trajectory tracking performance. Firstly, the Takagi-Sugeno (T-S) fuzzy model is employed to approximate this nonlinear system. Secondly, a novel Nonlinear Unknown Inp...

In this paper, a new fault diagnosis approach is developed for stator asymmetry detection and localization in three-phase permanent magnet synchronous motors. Based on spectral analysis, Motor current signature analysis was extensively adopted for stator fault detection, but the same approach fails in identifying the faulty phase which causes the s...

In this paper, a new fault diagnosis approach is developed for stator asymmetry detection and localization in three-phase permanent magnet synchronous motors. Based on spectral analysis, Motor current signature analysis was extensively adopted for stator fault detection, but the same approach fails in identifying the faulty phase which causes the s...

This paper proposes an indirect adaptive control method using neural network (NN) based on a variable learning rates (VLRs) combined with Taylor development (TD) for nonlinear systems. In the proposed control architecture, two neural network blocks are used both as an identifier and a controller. The tracking error and the identification error are...

This paper deals with the synthesis of an adaptive controller for multi-input multi-output nonlinear systems based on Radial Basis Function (RBF) neural networks. The stable controller-parameters adjustment mechanism is determined using the convergence of the synaptic weights of the RBF model. The evaluation of tracking error between the system out...

In this paper, an algorithm of a model reference adaptive controller for nonlinear systems based on Radial Basis Function (RBF) Neural Networks (NN) is proposed. An adaptive RBF NN is trained using the error between the system response and the desired response as given by the RBF NN reference model. The stable controller-parameters adjustment mecha...

This paper deals with observer-based synchronization of new discrete-time chaotic multimodels and its application to secured communication. Based on Borne and Gentina practical criterion for the stability study associated to the arrow form matrix for systems description, sufficient conditions for the synchronization between a chaotic multimodel con...

This paper deals with observer-based synchronization of new discrete-time chaotic multimodels and its application to secured communication. Based on Borne and Gentina practical criterion for the stability study associated to the arrow form matrix for systems description, sufficient conditions for the synchronization between a chaotic multimodel con...

In this paper, the impact of the discretization techniques and the sampling time, on the finite-time stabilization of sampled-data controlled Linear Time Invariant (LTI) systems, is investigated. To stabilize the process in finite time, a discrete-time feedback dead-beat controller is designed for the sampled-data system. Checkable conditions on th...

In this paper, the impact of the discretization techniques and the sampling time, on the finite-time stabilization of sampled-data controlled Linear Time Invariant (LTI) systems, is investigated. To stabilize the process in finite time, a discrete-time feedback dead-beat controller is designed for the sampled-data system. Checkable conditions on th...

This paper deals with the problem of Fault Tolerant Control (FTC) using PID-type Fuzzy Logic Controller (FLC) for an Electronic Throttle Valve (ETV) described by a switched discrete-time systems with input disturbances and actuator faults. In order to detect the faults, Unknown Input Observers (UIOs) are designed and formulated in terms of Lyapunov...

Wafa Gritli, Hajer Gharsallaoui and Mohamed Benrejeb. “Fault Tolerant Control Based on PID-type Fuzzy Logic Controller for Switched Discrete-time Systems: An Electronic Throttle Valve Application”. www.astesj.com Special issue on Advancement in Engineering Technology. Advances in Science, Technology and Engineering Systems Journal (ARTES Journal) V...

This paper deals with the problem of Fault Tolerant Control (FTC) using PID-type Fuzzy Logic Controller (FLC) for an Electronic Throttle Valve (ETV) described by a switched discrete-time system with input disturbances and actuator faults. In order to detect the faults, Unknown Input Observers (UIOs) are designed and formulated in terms of Lyapunov...

Rotating machines require a fault diagnosis process in order to be stable and to prevent abnormal behavior. A preliminary step to ensure such requirement often consists in applying a source separation method on acquired signals. This allows to estimate the original sources, mostly the faulty sources. Recently, many research works perform such separ...

This paper deals with the control of maintenance of a container handling equipment in seaport terminal. In the category of the seaports concerned by this paper, the operations have temporal constraints which must be imperatively respected. The violation of these constraints can affect the production rate. The objective of this study is to integrate...

Recently, the source separation techniques, in particular, Independent Component Analysis (ICA) method is interesting due to its simplicity and fast convergence against other approaches. Thus, it is increasingly used for fault diagnosis purposes in several industrial applications. In case of rotating electrical machines with variable speed drives,...

The main purpose of this paper is to consider the human handwriting process as an Internal Model Control structure (IMC). The proposed approach allows characterizing the biological process from two muscles activities of the forearm, named ElectroMyoGraphy signals (EMG). For this, an experimental approach was used to record the coordinates of a pen-...

This paper is about developing a virtual instrument platform for the diagnosis of Electrical Machines (EMs). Actually, signal-based diagnosis techniques are the preferred option for monitoring the health state of the EMs. The developed platform is dedicated to several time or frequency domain analysis derived from the instantaneous variable values...

Model reference adaptive control is a viable control method to impose the desired dynamics on plants whose parameters are affected by large uncertainties. In this paper, it is proposed an algorithm of the Model Reference Adaptive Control (MRAC) approach for nonlinear system based-on neural networks. The adaptation mechanism algorithm depends on the...

Rotating machines require a fault diagnosis process in order to be stable and to prevent abnormal behavior. A preliminary step to ensure such requirement often consists in applying a source separation method on acquired signals. This allows to estimate the original sources, mostly the faulty sources. Recently, many research works perform such separ...

The stability analysis of interconnected large-scale systems is generally characterized by some degree of difficulty, specifically when the interconnections gather a large number of nonlinear subsystems and the couplings evolve according to nonlinear functions in time. In this paper, a novel systematic analysis procedure of fully interconnected dis...

International Journal of Control, Energy and Electrical Engineering (CEEE), Vol. 4, Issue 1, Juillet 2017.

Introduced more than ten years ago, the multicell converters make it possible to distribute the voltage constraints among series-connected switches and to improve the output wave-forms. This structure is used generally for high power application, that's why, some safety measures must be taken before the experimental tests. For these reasons, we can...

Manufacturing and modern production systems offer high flexibility and various benefits in order to deliver the required production rates, a higher products quality, while minimizing the use of resources. In such systems, time control is a very important area. In this study a robust control strategy towards time disturbances is presented. It consis...

In this article, the set of all stabilizing lead-lag controllers applied to a class of linear time delay systems is obtained. The original problem is divided into two sub-problems with the help of Kharitonov's Lemma. This essential step allows the application of the D-decomposition method and the determination of the complete set of stability regio...

Automatique & Traitement de Signal (ATS-2017)A. Mhalla et M. Benrejeb, ". 5ème Conférence Internationale en Automatique & Traitement de Signal (ATS-2017), Mars 2017, Sousse.

This paper proposes an Adaptive Internal Model Control (AIMC) based on Radial Basis Function (RBF) neural networks for nonlinear systems. The proposed method is dependent on the availability of the on-line RBF neural networks inverse model of the nonlinear system and the availability of the on-line RBF neural networks internal model in each moment....

In this paper, fault detection and control based on Unknown Input Observers (UIOs) for switched linear systems using stateflow is proposed. This approach is developed in discrete-time framework in order to track a reference trajectory starting from a flat output variable generated using the flatness property. The stability of the system is studied...

In this paper, new stability conditions for discrete time Takagi Sugeno (TS) fuzzy models of Lur'e systems are derived. Explicit stability criteria are achieved by the use of the aggregation techniques concept based on vector norms, for stability study, and the arrow form instantaneous characteristic matrices, for system description. Moreover, base...

e-STA (2017-1); ISSN 1954-3522

e-STA (2017-1); ISSN 1954-3522

This paper focuses on the neural modelling of a system in the presence of disturbances. It proposes an offline and online identification of the inputs of a disturbed mobile robot using artificial neural networks. When meeting strong disturbances, the deviations between the predicted signal-based model and the real signal of the system may become la...

This paper deals with control of a DC motor using conventional and unconventional techniques namely the exploitation of artificial neural networks, fuzzy logic controller and PID controller. After studying the performances of the PID controller, the idea is to determine a partial fuzzy or partial neuronal PID controller. For the control of the posi...

In this paper, a constructive design methodology for Finite-Time Stability (FTS) of a class of nonlinear discrete-time systems is proposed. A dead-beat controller that can achieve n-finite-time stability is constructed. Furthermore, stability conditions, based on the use of Borne and Gentina practical stability criterion and matrices in the Benreje...