Papers by Khier Benmahammed
Particle Swarm Optimization for Image Deblurring
AIP Conference Proceedings, 2008
Within the framework of this first study we suggest the use of the Particle Swarm Optimization te... more Within the framework of this first study we suggest the use of the Particle Swarm Optimization technique (PSO) in the image restoration field. In our knowledge, we did not still find works concerning the image deblurring (restoration) using the PSO. So, in this paper, we present the use of the PSO in two manners: (i) by taking as hypothesis the
Multilayered Perceptron to Approximate Reasoning
Over the last few decades medical ultrasound has be come an established diagnostic and therapeuti... more Over the last few decades medical ultrasound has be come an established diagnostic and therapeutic tool since it produces detailed and high resolution images of tissues in human body. Harmonic imaging is among the recent developments which has brought further improvements to the image quality. Harmonic imaging for tissue or with contrast agent induced a rapid evolution of this modality to diverse clinical uses, among which myocardial perfusion determination seems to be the most important application. This brought the need to understand the physical processes involved in the propagation of finite amplitude sound beams, and the issues for redesigning and optimizing the transducers with higher performances for both tissue imaging and contrast imaging. Concerning tissue harmonic imaging, the advantage of the harmonic beam generated at two times the transmit frequency are translated by reduced reverberations , greater depth of penetration at higher frequencies and improved resolution. In...
Iterative construction and optimization of fuzzy models
Teaching Methods Using Artificial Intelligence
Since the primary education age man knew through philosophy a working tool for the resolution of ... more Since the primary education age man knew through philosophy a working tool for the resolution of the problems. The projection of technologies gave well thanks to the design, calculation, planning, the strategy of decision, and the realization itself of the finished product. The contribution of the cybernetic tools and automation allows us to define and build methodologies as powerful as possible of introduction and deepening of the new technologies. In addition, there are factors such as; ageing of the programs and the teaching methods, the limitation of the level of the teacher, and in consequence of the pupil and finally the limitations budgetary affecting the whole process. It is takes long time to invent while taking as a starting point the other technologies for our own approaches. In the process of reform which our country knows, one cannot hope to start the growth and to ensure the modernization of our company without the control of the factors which characterizes it, like sc...
Indirect adaptive interval type-2 fuzzy control for nonlinear systems
International Journal of Modelling, Identification and Control, 2007
... com *Corresponding author Lamir Saïdi Department of Electronics, University of HadjLakhdar, B... more ... com *Corresponding author Lamir Saïdi Department of Electronics, University of HadjLakhdar, Batna 05000, Algeria E-mail: [email protected] Mouna Ghanaï and Khier Benmahammed Department of Electronics, University ...
DIRECT ADAPTIVE TYPE-2 FUZZY CONTROL FOR NONLINEAR SYSTEMS
International Journal of Computational Intelligence and Applications, 2006
... Author(s): KHEIREDDINE CHAFAA Electronics Department, Mohamed Boudiaf University, Msila 28000... more ... Author(s): KHEIREDDINE CHAFAA Electronics Department, Mohamed Boudiaf University, Msila 28000, Algeria LAMIR SAIDI Electronics Department, Hadj Lakhdar University, Batna 05000, Algeria MOUNA GHANAI Electronics Department, Farhet Abbas University, Setif 19000 ...
IET Control Theory & Applications, 2007
Fuzzy modelling is an important topic in fuzzy sets theory and applications. An efficient method ... more Fuzzy modelling is an important topic in fuzzy sets theory and applications. An efficient method for automatically constructing a Takagi -Sugeno (TS) fuzzy model, where only the inputoutput data of the identified system are available, is presented. The TS fuzzy model is automatically generated by the process of structure and parameter identification. In the structure identification step, a clustering method based on the Gustafson -Kessel algorithm is proposed. In the parameter identification step, the Kalman filter algorithm is applied twice to choose the parameter values in the premise and consequent parts from the given membership functions defined point-wise and from input -output data. The effectiveness of this approach is demonstrated using two examples.
State Observer Based Robust Adaptive Fuzzy Controller for Nonlinear Uncertain and Perturbed Systems
IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 2004
A robust adaptive fuzzy controller, based on a state observer, for a nonlinear uncertain and pert... more A robust adaptive fuzzy controller, based on a state observer, for a nonlinear uncertain and perturbed system is presented. The state observer is introduced to resolve the problem of the unavailability of the state variables. Two control signals are added to a basic state feedback control law, deduced from a nominal model, to guarantee the tracking performance in the presence of structural uncertainties and external disturbances. The first control signal is computed from an adaptive fuzzy system and eliminates the effect of structural uncertainties and estimation errors. Updating the adjustable parameters is ensured by a PID law to obtain a fast convergence. Robustness of the closed-loop system is guaranteed by an H infinity supervisor computed from a Riccati type equation. Simulation example is presented to show the efficiency of the proposed method.
Fuzzy model reference adaptive control
IEEE Transactions on Fuzzy Systems, 2002
... Third, a PI update law is used to obtain fast adaptation rate. ... 521525, 1994. [6] JJ Buck... more ... Third, a PI update law is used to obtain fast adaptation rate. ... 521525, 1994. [6] JJ Buckly, Seguno type controllers are universal controllers, Fuzzy Sets Syst., vol. 53, pp. ... Fuzzy Syst., vol. 2, pp. 285294, 1994. [8] BS Chen, CH Lee, and YC Chang, H tracking design of uncer ...
Time–Frequency Analysis of Multichannel Signals Using Two-Sided Autoregressive Modeling
Circuits, Systems & Signal Processing, 2008
Journal of Intelligent & Robotic …, 2001
The results obtained by a rule-based proportional, integral, derivative (PID) precompensator cont... more The results obtained by a rule-based proportional, integral, derivative (PID) precompensator controller applied to a two-joint manipulator are discussed. The end effector is made to follow a specified trajectory obtained from the inverse kinematics by an appropriate design of a fuzzy control law. The desired trajectory is determined by the values of the joint variables and the structural kinematics parameters of the manipulator. The performance of the PID controller is exploited here to build a fuzzy precompensator that will enhance the conventional PID and to obtain better performances and results. The fuzzy rule base of the precompensator designed is found by associating two evolutionary algorithms that search for the optimal solution.
International Journal of Modelling, Identification and Control, 2007
This paper presents a Lyapunov-based switching controller design method for non-linear systems us... more This paper presents a Lyapunov-based switching controller design method for non-linear systems using Takagi-Sugeno fuzzy models. The basic idea of the proposed approach is to represent the fuzzy model as a set of uncertain linear systems. The controller is obtained by solving the corresponding set of Algebraic Ricatti Equations (AREs). A simulation example is given to illustrate the effectiveness of this approach.
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Papers by Khier Benmahammed