Maamar Bettayeb

University of Sharjah | US

Active Disturbance Rejection Control (ADRC) is a very promising recent concept for the design of controllers to control systems with uncertainties. Based on an extended state observer, this control structure allows both external disturbances and modeling uncertainties to be actively rejected. The use of the active rejection control of disturbances...

Fractional order control (FOC) has received widespread attention in recent years due to its efficient tuning capacity, intuitive concept, and enough flexibility. Again, FOC are known to be robust with the open loop gain in particular. However, the design of FOC demands the knowledge of the model to be modified. But on the other hand, the linear act...

This paper presents an effective strategy for controlling an Interleaved DC/DC Boost Converter (IBC) that is employed for reducing the current fluctuations in a 6 kW Proton Exchange Membrane Fuel Cell (PEMFC). The proposed design incorporates a new nonlinear control law combined with a nonlinear state observer, it aims at enhancing the durability o...

Gulf countries like the UAE are blessed with plenty of sunshine over the whole year. The solar photovoltaic system is an appropriate alternative for the production of electricity. Solar irradiance is partially converted into electricity and the remaining is dissipated as accumulated heat which elevates the operating temperature of the solar PV pane...

Sustainability performance index for ranking energy storage technologies is presented in this paper. The sustainability performance index is calculated using the Multi-Criteria Decision-Making (MCDM) model and the extended Stepwise Weight Assessment Ratio Analysis (SWARA)/Additive Ratio Assessment (ARAS) hybrid computational method. Five main susta...

A generalized control approach for DC-DC converter is proposed in this paper for optimal DC voltage tracking control. The developed controller is used for both DC input voltage control of a buck converter and for output voltage control of an interleaved boost converter (IBC). These converters are widely used in DC microgrid systems that consist of...

The aim of the present work is to design a robust nonlinear controller which ensures a regulated output voltage for a Proton-Exchange Membrane Fuel Cell (PEMFC) fed interleaved boost DC–DC converter. In this regard, a particle swarm-based optimization algorithm is used for tuning parameters of the nonlinear controller allowing greater flexibility i...

DC-DC buck converters are extensively used in many industrial and end-user applications where significant attention highlights their power-conversion efficiency and robustness to load and source disturbances. This paper considers the problem of DC-DC buck converter control for Maximum Power Point (MPP) and voltage trajectory tracking applications i...

The use of photovoltaic (PV) solar systems as a direct convertor of electricity is increasing on daily basis at industrial and domestic scales. Such systems are still under worldwide investigation due to their low efficiency to have better performance. In this regard, the parameters effecting the PV solar system performance should be defined and in...

In this paper, a fixed-time terminal synergetic observer for synchronization of fractional-order nonlinear chaotic systems is proposed. First, fixed-time terminal attractors for fractional-order nonlinear systems are introduced on the basis of fixed-time stability of integer-order nonlinear differential equations and on defining particular fraction...

Modeling, simulation, and optimization methods are used in the present study to design grid-tied and off-grid solar PV systems for super-efficient electrical appliances for residential buildings. The principal objective of this study is to design a renewable energy system to serve the electric load of super-efficient appliances with high penetratio...

A new approach is developed in this paper for robust control of a direct-drive Permanent-Magnet Synchronous Generator (PMSG) in a standalone Variable Speed Wind Turbine (VSWT) system. This article focuses on fast and smooth control of DC-DC buck converters to ensure the Maximum Power Point (MPP) tracking of the system. The presented design consists...

Optimized design and performance of an off-grid solar PV/Fuel Cell/Diesel Generator power system for University building is presented in this study. The main objective is to design a power system with high renewable fraction; low greenhouse gas emissions, and low cost of energy. The goal is to switch from grid-tied fossil fuel power system to a ren...

An improved robust control strategy is proposed in this work to deal with the output regulation control for a DC–DC flyback converter in photovoltaic (PV) system. The control design consists of an observer-based integral state feedback controller (OISF) combined with a standard optimization algorithm. Thus, a PSO algorithm is applied to optimize the...

Recently, the problem of advanced control design of switched mode DC–DC converters has drawn the attention by several researchers worldwide. In the present work, a new robust controller based Particle Swarm Optimization (PSO) is proposed in order to control a DC-DC converter. This later is a Combination of Observer-State Feedback (COSF) controller...

This paper investigates the problem of estimation of the wheelchair position in indoor environments with noisy measurements. The measuring system is based on two odometers placed on the axis of the wheels combined with a magnetic compass to determine the position and orientation. Determination of displacements is implemented by an accelerometer. Da...

n this paper, an original model-based analytical method is developed to design a fractional order controller combined with a Smith predictor and a modified Smith predictor that yield control systems which are robust to changes in the process parameters. This method can be applied for integer order systems and for fractional order ones. Based on the...

SUMMARY This paper presents an adaptive distributed control strategy for n-serial-flexible-link manipulators. The proposed adaptive controller is used for flexible-link-manipulators: (1) to solve the tracking control problem in the joint space, and (2) to reduce vibrations of the links. The dynamical model of flexible link manipulators is reorganiz...

In this paper, fractional-order controller designs for integer first-order plus time delay systems are investigated. Based on Bode’s ideal transfer function as a reference model, a new structure of the fractional-order controller is proposed. The internal model control principle is used to design the controllers. The effectiveness of the controller...

Analytical methods are usually applied for tuning fractional controllers. The present paper proposes an empirical method for tuning a new type of fractional controller known as PID-Fractional-Order-Filter (FOF-PID). Indeed, the setpoint overshoot method, initially introduced by Shamsuzzoha and Skogestad, has been adapted for tuning FOF-PID controll...

Diagnosis of current sensor faults (CSF) for doubly fed induction generators (DFIGs) is of paramount importance for the reliable power generation of DFIG-based wind turbines (WT). In this paper, a new scheme is developed for current sensors faults diagnosis in the stator of a DFIG-based WT. The nonlinear model of the DFIG is first transformed into...

In this paper, the design of first- and second-order sliding mode controllers for fractional-order nonlinear systems is addressed. The key concept used here is the diffusive representation of the fractional-order nonlinear systems. We show that the use of diffusive representation is an interesting alternative way to overcome some hard mathematical...

The main purpose of this paper is twofold. First, the observability and the left invertibility properties and the observable canonical form for nonlinear fractional-order systems are introduced. By using a transformation, we show that these properties can be deduced from an equivalent nonlinear integer-order system. Second, a step by step sliding m...

This paper discusses the tracking trajectory in the workspace of rigid manipulators using distributed adaptive control strategy. This control strategy consists of two steps; first, the classical MIMO dynamical system is decomposed into a set of nonlinear interconnected subsystems. Each subsystem has one joint. Second, the distributed adaptive contr...

An analytical design for proportional integral derivative (PID) controller cascaded with a fractional-order filter is proposed for first-order unstable processes with time delay. The design algorithm is based on the internal model control (IMC) paradigm. A two degrees-of-freedom (2DOF) control structure is used to improve the performance of the clo...

Fractional systems are known to model complex dynamics with a reduced number of parameters. This paper deals with identification of discrete fractional order systems based on non-linear Hammerstein models. Such systems consist of a static non-linear block followed by a linear dynamic system. The polynomial non-linear state space equations (PNLSS) a...

This paper deals with identification of discrete nonlinear fractional order systems based on wiener models. Such systems consist of a linear dynamic block followed by a static non-linearity; in this study they are described using Polynomial Non Linear State Space(PNLSS) fractional models. Self Adaptive Velocity Particle Swarm Optimization (SAVPSO)...

The wheelchair navigation system can help the disabled and the elderly to live more independently. In this sense, a function of location can be considered as the main process performance improvement in terms of autonomy and mobility. A popular approach to the location is the Kalman filter. However, Kalman filter performance and quality of the estim...

New simple linear matrix inequalities are proposed to ensure the stability of a class of uncertain fractional-order linear systems by means of a fractional-order deterministic observer. It is shown that the conditions of existence of an observer-based feedback can be split into a set of linear matrix inequalities that are numerically tractable. The...

This paper describes a variable structure control for fractional-order systems with delay in both the input and state variables. The proposed method includes a fractional-order state predictor to eliminate the input delay. The resulting state-delay system is controlled through a sliding mode approach where the controller uses a sliding surface defi...

State feedback technique through a gain matrix has been a well-known method for pole assignment of a linear system. The technique could encounter a difficulty in eliminating the steady-state errors in some states. Introducing an integral element can effectively eliminate these errors. State feedback with fractional integral control is proposed, in...

Tow different architectures are presented to fuse measurements coming from odometers, compass and accelerometer to locate wheelchair position in 2D Cartesian coordinates, with Extended KALMAN Filter (EKF). The performance of these architectures is checked with simulated data. Detailed mathematical expressions are provided which could be useful for...

The class of LMS algorithms employing a gen-eral error nonlinearity is considered. The calculus of variations is employed to obtain the optimum er-ror nonlinearity for an independent and identically distributed input. The nonlinearity represents a uni-fying view of error nonlinearities in LMS adaptation. In particular, it subsumes two recently deve...

New model-reduction numerical procedure for a class of stable nonlinear systems is proposed. The proposed design is devoted to a spacial class of nonlinear systems whose nonlinearities are not necessarily Lipschitz with respect to its arguments. Additionally, the systems under consideration may contain uncertain parameters, having known lower and u...

This paper investigates the problem of estimation of the wheelchair position in an environment with noisy measurements. The measuring system is based on two odometers placed on the axis of the wheels combined with a magnetic compass to determine the position and orientation. The determination of displacements is implemented by an accelerometer. Dat...

In this paper, the parametric optimization method is used to find optimal control laws for fractional systems. The proposed approach is based on the use for the fractional variational iteration method to convert the original optimal control problem into a nonlinear optimization one. The control variable is parameterized by unknown parameters to be...

This paper deals with the problem of robust H∞ control via decentralised state feedback for a class of uncertain interconnected discrete-time Markov jump systems subject to unknown transition probabilities. The uncertainties are assumed to satisfy the global Lipschitz conditions, and the random parameter is a Markov process. A sufficient condition...

This book chapter deals with a linear non-fractional order system control by a PI-state feedback fractional-controller. The fractional aspect of the control law is introduced by a dynamic state feedback as u(t) = Kpx( t) + K t3 a(x ( t)).Two methods, based on pole placement principle, are then proposed to design the feedback vector gains and .The f...

This paper considers the problem of model reduction of a class of discrete-time systems subject to Lipschitzian nonlinearities. It is shown that under some conditions the nonlinear system can be either approximated by a discrete-time linear time-invariant system or a nonlinear system of reduced order. The computation of the matrices of the reduced-...

We consider the problem of decentralised estimation of discrete-time interconnected systems with local estimators communicating with their subsystems over lossy communication channels. Assuming that the packet losses follow the Gilbert–Elliot model, the networked estimation problem can be formulated into a Markovian jump linear system framework. Mo...

Image restoration step is important in many image processing applications. In this work, we attempt to restore radiological images degraded during acquisition and processing. Details of the work, carried out to optimize a neural network (NN) for identifying an autoregressive moving average (ARMA) model used for nonlinearly degraded image restoratio...

This paper proposes a nonlinear control of maximum power point tracking (MPPT) of stand-alone photovoltaic systems (PV) based on synergetic control technique (SCT). This technique has controllable dynamics towards the origin and no chattering compared to sliding mode control (SMC). Mathematical model is presented and performance comparison to SMC i...

Fractional order controller design with a small number of tuning parameters is very attractive. Few attempts have been done recently for some limited cases of models. In this paper, a new approach is developed to design simple fractional-order controllers to handle fractional order processes. The fractional property is not especially imposed by the...

A predictor bilinear observer is developed for a class of bilinear systems subject to delayed outputs. The developed observer enjoys the property of being convergent for arbitrary large and constant delays. The theory of the observer is presented and approved by numerical simulations of a jacket stirred-tank heater.

New sufficient linear-matrix-inequality conditions are provided to ensure the stability of a class of fractional-order systems by means of asymptotic observer-based feedbacks. It is shown that the search of the observer and the controller gains can be obtained by decoupling the necessary matrix inequalities that involve coupled gains. The obtained...

A dynamic-gain parameterized controller is proposed to stabilize a class of nonlinear systems subject to norm-bounded uncertainties. The stabilizing controller is designed as a standard linear feedback with polynomial dynamic parameters. The expression of the dynamic parameters is defined from the solution of an Algebraic Ricatti Equation. The pend...

This paper deals with pole placement PI-state feedback controller design to control an integer order system. The fractional aspect of the control law is introduced by a dynamic state feedback as u(t)=Kpx(t)+KIIα(x(t)). The closed loop characteristic polynomial is thus fractional for which the roots are complex to calculate. The proposed method allo...

A convex optimization approach to model reduction of a class of non-linear systems is presented. Under the assumption that the non-linear system is input-to-state-stable with respect to its input, and all the system non-linearities are globally Lipschitz, it is shown that it is possible to represent the reduced-order system as a stable linear syste...

This paper deals with optimal control of fractional order systems using control vector parameterization. The main idea consists in transforming the optimal control problem to a nonlinear optimization problem where the optimization variables are the parameters of the optimal control law to be determined. Thus, by parameterizing the control variable...

This paper presents an overview and the recent advances of the time domain system identification using fractional models. The main methods are presented and commented for the linear, non-linear and multivariable fractional order systems.

In this article, the control vector parameterization method is used to find optimal control laws of fractional systems. The proposed approach is based on the use of the fractional variational iteration method. Thus, first the control variable is parameterized by unknown coefficients to be determined, then its expression is substituted in the system...

This paper deals with identification of multivariable fractional order systems. The state space model is used, based on the Guidorzi canonical form. An output error identification approach is used, and the parametric sensitivity functions model is developed as a multivariable fractional model. Its simulation is carried out using the fractional boun...

In this paper, the robust H∞ control problem is investigated for a class of discrete-time Markov jump uncertain systems subject to unknown transition probabilities. Previous results assume that the transition probabilities are completely known. Here, the more general situation where only upper and lower bounds of theses transition probalities are k...

In this work we implemented a new optimal approach for image restoration problem, which is useful for restoring and enhancing neutron radiography gray images. Our approach is based on using swarm intelligence optimization algorithms to solve a least squares minimization ill-posed problem. To solve such minimization ill-posed problem, many works hav...

A sliding mode control is developed for robust stabilization of fractional-order input-delay linear systems in presence of uncertainties and external disturbances. First, a fractional-order state predictor is used to compensate the delay in the input control. Second, a robust sliding mode control is proposed in order to stabilize the system and to...

Image deblurring is indispensable to many image processing applications. In this paper, we try to improve radiological images degraded during acquisition and processing. An autoregressive moving average (ARMA) model, used for nonlinearly degraded image deconvolution, is identified using a neural network (NN). The NN training is improved using a nov...

In the aeronautics generally and in the aviation field particularly, the radar detection of hazardous and severe weather phenomenons as winds or microburst is very important. This detection allows the avoidance of these severe phenomenons and consequently will enhance the safety of the aircrafts flights. In this work, we have de-noised the weather...

The ECG signal is a representation of bioelectrical activity of the heart's pumping action. The doctor regularly uses a temporal recording of ECG and waveforms characteristics to study and diagnose the overall heart functioning. In some heart diseases, the correct diagnosis in an early time is essential for the patient survival. This need leads to...

In this work, we introduce a new approach for the signal deconvolution problem, which is useful for the enhancement of neutron radiography projections. We attempt to restore original signals and get rid of noise present during acquisition or processing, due to gamma radiations or randomly distributed neutron flux. Signal deconvolution is an ill-pos...

The paper presents a novel approach to estimate harmonics in multiplicative and additive noise using a Genetic Algorithm (GA). The estimation of parameters is formulated as a nonlinear optimization problem and simulations are carried out to assess the performance of the proposed GA-based harmonics estimation.

In this work, we introduce a new approach for the signal deconvolution problem, which is useful for the enhancement of neutron radiography projections. We attempt to restore original signals and get rid of noise present during acquisition or processing, due to gamma radiations or randomly distributed neutron flux. Signal deconvolution is an ill-pos...

In this paper, we present a mixed software/hardware Implementation for image restoration using Tikhonov and Total Variations (TV) approaches. The proposed work is implemented and compiled on the embedded development kit EDK6.3i and the synthesis software ISE6.3i available with Xilinx Virtex-II FPGA using C language. The restored neutron radiography...

In this paper, a novel hybrid swarm intelligence optimization approach is proposed based on the synergy of Particle Swarm (PSO) and Bacterial Foraging (BFO) Optimization algorithms to determine the optimal parameters of the Unified Power Flow Controller (UPFC). The objective of hybridization is to reduce the convergence time while maintaining high...

In the civilian aviation field, the radar detection of hazardous weather phenomena (winds) is very important. This detection will allow the avoidance of these phenomena and consequently will enhance the safety of flights. In this work, we have used the wavelets method to estimate the mean velocity of winds. The results showed that the application o...

In this paper, we present a mixed software/hardware Implementation for image restoration using Tikhonov and Total Variations (TV) approaches. The proposed work is implemented and compiled on the embedded development kit EDK6.3i and the synthesis software ISE6.3i available with Xilinx Virtex-II FPGA using C language. The proposed implementation is d...

This paper proposes a novel approach based on swarm intelligence and foraging behavior of Escherichia coli Bacteria in the human intestine for enhancing neutron radiography projections blurred during acquisition by the high neutron flux and noise contaminated due to Gamma radiations. This approach uses the total variation (TV) optimization to solve...

This paper presents a navigation aid for the blind based on a microcontroller with synthetic speech output. The system consists of two vibrators, two ultrasonic sensors mounted on the user’s shoulders and another one integrated into the cane. It is able to give information to the blind about urban walking routes and to provide real-time information...

A large number of real dynamic systems are better characterized using a non-integer order dynamic model based on fractional order differential equations. Nevertheless, their analytical solutions are rather complicated. In this paper we present two alternative methods of simulation of the fractional order dynamical system in state space. We particul...

Reduced-order models are developed for partial differen-tial system representing the dynamic behavior of the flat-plate solar collector system using SVD-based model re-duction schemes. These schemes are applied to the high-order model representing the original system which is ob-tained from the exact infinite-dimensional system via Tay-lor series a...

Three model reduction schemes, namely, balanced truncation, singular perturbation balanced truncation, and Hankel norm approximation are used to develop a reduced-order model to the partial differential system representing the dynamic behavior of the flat-plate solar collector system. To get a tractable finite-dimensional model instead of the infin...

With the growing concern over harmonics and their effects due to the increasing use of solid state switching devices in modern power systems, there is an increasing interest in developing new and more efficient harmonic elimination schemes. This paper presents a new scheme to mitigate the harmonics present in the system. The method uses the flux ca...

In this paper, an approach using a new formalism is proposed to analyze the stability of linear discrete-time fractional-order systems. Asymptotic stability of such systems is examined. Practical asymptotic stability is introduced and illustrated by a numerical example.

Image deconvolution is an important problem in image processing. It is an ill-posed inverse problem, so regularization techniques are used to solve this problem by adding constraints to the objective function. Various popular algorithms have been developed to solve such problem. This paper proposes a new approach to the nonlinear neutron degraded i...

In this study, we want to implement a new approach to the nonlinear degraded images restoration problem which is useful for neutron radiography gray images enhancement. We attempt to reconstruct or recover an image that has been degraded, using some a priori knowledge of the degradation phenomenon. Our approach is based on using swarm intelligence...

Image deconvolution is an important subject in image processing. It is an ill-posed inverse problem, so regularization techniques are used to solve this problem by adding constraints to the objective function. Various popular algorithms have been developed to solve such problem. This paper studies various approaches to the nonlinear degraded images...

We want to implement a new optimal approach for image restoration problem, which is useful for neutron radiography images enhancement to assist the physician interpreter on his evaluation. Our approach is based on using swarm intelligence optimization algorithms to solve a least squares minimization ill-posed problem, using Bacterial Foraging Optim...

In this paper, we consider the approximation of general multivariable non commensurate fractional systems by integer order state space models. This work contains two main contributions. First, a new state space representation using the fractional integral operator is introduced. Second, the approximate model carries explicitly the initial condition...

The approximation of a fractional system, characterized by a long memory, by an integer order transfer function, requires the use of a very high number of parameters. This characteristic is used in this paper to deal with the approximation of large order systems using a high number of parameters fractional models, but using only few parameters. Con...

In the civilian aviation field, the radar detection of hazardous weather phenomena (winds) is very important. This detection will allow the avoidance of these phenomena and consequently will enhance the safety of flights. In this work, we have used the wavelets method to estimate the mean velocity of winds. The results showed that the application o...

Model Reduction of the flat-plate solar energy col-lector dynamics is considered, taking into account the continuous variation of the received radiant flux. Models of the fluid and ab-sorber temperature distributions are traditionally determined via a pair of partial differential equations (PDEs). To get a tractable finite-dimensional model instead...

In this paper, a customized classifier is presented for the industry-practiced nondestructive evaluation (NDE) protocols using a hybrid-fuzzy inference system (FIS) to classify the and characterize the defects commonly present in the steel pipes used in the gas/petroleum industry. The presented system is hybrid in the sense that it utilizes both so...

We study the stability of an overlapping decentralized estimation scheme in the presence of packet dropouts. Several estimation agents receive local measurement of a discrete-time system over packet-dropping links, and each one constructs its estimate based on the measurements and on the communication with other agents which is also vulnerable to f...

The fractional differentiation operator is used in order to model the heat transfer at the diffusion interface in homogeneous material. Commensurate and non-commensurate models of different fractional orders are obtained for thermal processes in cylindrical geometry. The parameters of a state space fractional model, including the fractional orders,...

In this paper, a sliding mode control design for fractional order systems with input and state time-delay is proposed. First, we consider a fractional order system without delay for which a sliding surface is proposed based on fractional integration of the state. Then, a stabilizing switching controller is derived. Second, a fractional system with...

This paper deals with system identification in the frequency domain using non integer order models given in the pole‐zero form. The usual identification techniques cannot be used in this case because of the non integer orders of differentiation which makes the problem strongly nonlinear. A general identification method based on Levenberg‐Marquardt...