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In this paper, the author has developed a new theoretical model called the Adaptive Learning and Thinking Style for E-learning System using Neural Network (ALTENN) model. Determining intangible human behavior such as preference or motional aspect is very difficult due to many factors featured in the person's personality, taste, gender, age, and mood. Therefore, determining individuals learning style...
The fuel cells are commonly used in many applications. A deep knowledge of the fuel cells functioning system is a necessity for power electronics engineers. This paper offers a theoretical and experimental study of the fuel cells behavior connected to static Converter. The aim of this work is to highlight the bond graph representation in order to study the interactions between the fuel cell type Proton...
This paper propose the application of an unknown-input observer for a reduced linear model of an activated sludge wastewater treatment process, functioning in an alternating phases (aerobic-anoxic). The aim of this observer is to estimate both the unknown input and the state of system to better developing the control strategies and monitor its dynamics. It can be mentioned that in view of the linear...
This work deals with the control of the wind energy conversion system (WECS) equipped with two doubly-fed induction generators (DFIG). The main generator is controlled in order to keep the voltage and the frequency in the rates values. The second generator is connected when the power demand increase. But, before the connection, with the first generator, synchronization is done. After that, the system...
The main objective of introducing artificial intelligent control approaches is achieving efficient industrial process control. However, the three term (PID) control algorithms are still employed in controlling a wide range of processes. This mainly is owing to their simplicity and robustness. The Performance indices tuning methods (MSE, ITAE, ISE and IAE) of PID based Genetic Algorithms (GAs) are...
In this paper the effectiveness of predictive control in the problems of tracking and control is studied. The principle and the implementation of the algorithm of this control are presented. In this work, two approaches using different system models are developed: the output feedback and the state feedback predictive control. The performances and the robustness of both approaches are assessed with...
This work suggests a hybrid approach combined with a conventional method and a metaheuristic to study the problem of constrained optimal control of nonlinear switched systems. The first method is based on the Pontryagin Maximum Principle associated with the Lagrange multipliers method while satisfying the KKT conditions. Concerning the second method, it uses the Genetic Algorithms. Finally, this approach...
In this paper, we provide a systematic design procedure for the construction of the controller of the affine nonlinear discrete-time studied systems. The proposed controller structure achieves the tracking of given reference trajectory even in the presence of external disturbances. It is based on the Internal Model control structure and the multimodel strategy when considering the fusion techniques...
This paper presents the modelling of a water level system using neurofuzzy. The modelling stage is necessary to design of a control law of a system. In this study, a water level system is modelled using neurofuzzy system: the first called ANFIS and the second a Takagi-Sugeno (TS) tuned by particle swarm optimisation PSO. The two models constructed are evaluated by applying a proportional integral...
In this paper, a new constrained multivariable predictive control strategy based on T-S modeling approach and Particle Swarm Optimization is considered. The proposed method determines the control actions by minimizing a nonlinear criterion based on Particle Swarm Optimization algorithm. At optimization stage, the proposed algorithm integrates the Alienor method in order to find a set of solutions...
This paper presents a multi-loop control strategy for parallel distributed generation (DG) units in standalone mode of operation. Indeed, an Adaptive Proportional plus Multi Resonant (Adaptive P+MR) controller is designed for the voltage control loop and a simple Proportional regulator is used for the inner current loop. The proposed frequency adaptive control structure is also prorogued to parallel...
In present work a modified MRAS for induction motors is presented. Associated with vector control, the speed estimation performances are improved especially at low speed. Lyapunov theory based controllers is used to design the controllers of the vector control. Robustness against the parameter variations and the low speeds mode is proven. The experimental tests are conducted using dSPACE DS1104.
The present work proposes two control algorithms for a class of large-scale deterministic systems, which are composed into a set of interconnected monovariable systems and defined by discrete oriented block model with variable parameters. The purpose of these control algorithms is to formulate the tracking problem permitting each interconnected system output to pursue a certain time-varying reference...
In this paper, we present a method of fusion of medical MRI images based on a probabilistic approach to identify a brain lesion. The aim is to obtain a segmented image from two MRI images T1 and T2 representing the same scene captured at the same time by a patient. To develop such an approach, in a first step, pre-processing is necessary (registration and filtering) of two images to prepare them for...
In this paper various adaptive filters have been thoroughly applied to biomedical data processing in the aim to implement a barrier between noise reduction and preservation of the useful information. Electrocardiography (ECG) presents one of the most important indicators, which can be informed of the recognizing approaches to discover heart disease. Due to its inherent importance, it is interesting...
This paper presents an approach that aims to recognize stress under speech. The proposed system is based on wavelet packet prosody features. These features are extracted from speech according to Mel scale, Bark scale and ERB scale. Multiclass Support Vector Machines are used as the based classifiers in order to classify the stress states. The speech utterances used is this study are taken from Speech...
Voltage Stability Analysis is a scheme to determine voltage stability margins and critical contingencies for various power transfers by identifying the weak regions of reactive power deficiency within these regions. Active power-voltage (PV) curve and reactive power-voltage (QV) are some of the well known tools for monitoring the voltage stability. To maintain voltage levels stability of the interconnected...
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