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检索条件"机构=ICOS: Research Unit on Intelligent Control"

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Hierarchical fuzzy approaches for a piloted Quality Management System

Hierarchical fuzzy approaches for a piloted Quality Manageme...

引用

International Conference on control, Decision and Information Technologies (CoDIT)

作者： H. Ben Mahmoud R. Ketata T. Ben Romdhane S. Ben Ahmed Dept. of Physics and Instrumentation Engineering INSAT: National Institute of Applied Science and Technology Dept. of Physics and Instrumentation Engineering ICOS: Research Unit on Intelligent Control Tunis Tunisia Dept. of Physics and Instrumentation Engineering MOSIC Research Unit on Methods and Tools for Complex Computer Systems Tunis Tunisia

In this paper, two approaches, Hierarchical Fuzzy Signature (HFS) and Neuro-Fuzzy Hierarchical Hybrid (NFHH), have been proposed for piloting a Quality Management System (QMS). These approaches have been applied for real company which presents a major problem for controlling the quality level of production. HFS structure has reduced complexity in the number of input and output meta-levels of hierarchy. Also NFHH model has presented better performance in terms of precision and number of parameters without losing the universal approximation property of neural networks (NN) and fuzzy systems.

关键词： Companies IP networks Production Complexity theory Fuzzy logic Artificial neural networks Pragmatics

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Modular ultrasonic sensor platform for mobile robot

Modular ultrasonic sensor platform for mobile robot

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International Conference on Renewable Energies and Vehicular Technology (REVET)

作者： Imen Maâlej Mohamed Ouali Nabil Derbel ENIS Research Unit on Intelligent Control design & Optimisation of complex Systems (ICOS) University of Sfax Tunisia Computer and Embedded Systems Algeria ICOS: Research Unit on Intelligent Control Design and Optimization of Complex System Tunisia

The ultrasonic sensor is the most replied sensor in mobile robot to get environmental information and avoid obstacles. In fact, this type of sensors offers satisfactory results with affordable cost. However, one sensor is insufficient for a better perception of the environment. In this paper we opt for the conception of an ultrasonic sensor network to extract as much information as possible for measuring the distance between the robot and the obstacle. The algorithm for distance calculation is based on the measurement of the time of flight for the ultrasonic wave. The experimental results show a good performance of the conceived system for the distinction between different shapes of obstacles.

关键词： Acoustics Robot sensing systems Microcontrollers Shape Ultrasonic variables measurement Transmitters Shape measurement

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Comparative study of voltage controlled current sources for biompedance measurements

Comparative study of voltage controlled current sources for ...

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IEEE SSD International Multi-Conference on Systems, Signals and Devices

作者： Dhouha Bouchaala Qinghai Shi Xinyue Chen Olfa Kanoun Nabil Derbel Research unit of Intelligent Control design and Optimization of Complex Systems (ICOS) National School of Engineers of Sfax Sfax Tunisia Chair for Measurement and Sensor Technology (MST) Chemnitz University of Technology Chemnitz Germany

ISBN: (纸本)9781467315906

For bioimpedance measurement, the design of a voltage controlled current source (VCCS) is important to have a good compromise between performance of final results and patient safety. VCCS should have simultaneously large output impedance and wide bandwidth. In this paper, we compare between the Tietze topology, with and without Negative Capacitance Circuit (NCC), and the Improved Howland Current pump ICSA topology. Best results were reached with a Tietze current source with NCC over a wideband frequency range from 10 KHz to 1 MHz. The experiments show that the Tietze VCCS is able to drive loads of 25 Ω to 10 KΩ with current amplitude below 0.5 mA within the accuracy of 0.57% in practice. This fulfills even the requirements for bioimpedance measurements especially at high frequency and high load impedance.

关键词： Current measurement Bioimpedance Impedance Biomedical measurements Voltage measurement Topology Capacitance

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Crane control by flatness

Crane control by flatness

引用

IEEE SSD International Multi-Conference on Systems, Signals and Devices

作者： Haifa Souilem Hassen Mekki Nabil Derbel Research unit on Intelligent Control design and Optimisation of complex Systems (ICOS) National School of Engineers of Sfax Sfax Tunisia National School of Engineers of Sousse National School of Engineers of Sfax Sfax Tunisia

This work is aimed at looking into the flatness control of the crane detailing adopted mechanisms and approaches in order to be able to control this system and to solve problems encountered during its functioning. The control objective is the sway free transportation of the crane s load taking the commands of the crane operator into account. Based on the mathematical model linearizing and stabilizing control laws for the slewing and luffing motion are derived using the input/output linearization approach. The method allows for transportation of the payload to a selected point and ensures minimisation of its swings when the motion is finished. To achieve this goal a mathematical model of the control system of the displacement of the payload has been constructed. A theory of control which ensures swing free stop of the payload is presented. Selected results of numerical simulations are shown. At the end of this work, a comparative study between the real moving and the desired one has been presented.

关键词： Cranes Trajectory Payloads Mathematical model Load modeling Pulleys

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Face recognition under varying facial expression based on Perceived Facial Images and local feature matching

Face recognition under varying facial expression based on Pe...

引用

International Conference on Information Technology and e-Services (ICITeS)

作者： Hayet Boughrara Liming Chen Chokri Ben Amar Mohamed Chtourou Research unit on Intelligent Control design and Optimization of complex Systems (ICOS) Sfax Engineering School University of Sfax Tunisia Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS) CNRS Ecole Centrale Lyon (ECL) Université de Lyon France

Face recognition is becoming a difficult process because of the generally similar shapes of faces and because of the numerous variations between images of the same face. A face recognition system aims at recognizing a face in a manner that is as independent as possible of these image variations. Such variations make face recognition, on the basis of appearance, a difficult task. This paper attempts to overcome the variations of facial expression and proposes a biological vision-based facial description, namely Perceived Facial Images (PFIs), applied to facial images for 2D face recognition. Based on the intermediate facial description, SIFT-based feature matching is then carried out to calculate similarity measures between a given probe face and the gallery ones. Because the proposed biological vision-based facial description generates a PFI for each quantized gradient orientation of facial images, we further propose a weighted sum rule based fusion scheme. The proposed approach was tested on three facial expression databases: the Cohn and Kanade Facial Expression Database, the Japanese Female Facial Expression (JAFFE) Database and the FEEDTUM Database. The experimental results demonstrate the effectiveness of the proposed method.

关键词： Databases Face recognition Face Vectors Neurons Feature extraction Probes

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Classification of rotor fault in induction machine using Artificial Neural Networks

Classification of rotor fault in induction machine using Art...

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IEEE SSD International Multi-Conference on Systems, Signals and Devices

作者： Aida Drira Nabil Derbel Research unit on Intelligent Control design & Optimization of complex Systems (ICOS) Engineering School of Sfax (ENIS) Sfax Tunisia

In this paper, we have developed a feedforward neural networks to detect and to diagnosis rotor fault on induction motors using stator currents. In the first step, causes and effects of rotor fault have been studied, particularly, the number of broken bars has been considered. Then, in the second step, the number of broken rotor bars has been localized by Artificial Neural Networks (ANN), using the Fast Fourier Transform. Simulation results show that the Neural Network proposed approach presents a good tools for the diagnostic of induction machines.

关键词： Rotors Artificial neural networks Bars Stators Neurons Induction motors Circuit faults

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Design Of Non-Diagonal controller Using MIMO-QFT Approach Combined With CRONE control:Application To Square System

Design Of Non-Diagonal Controller Using MIMO-QFT Approach Co...

引用

第五届国际自动控制联合会分数阶导数及其应用会议

作者： Najah Yousfi Pierre Melchior Chokri Rekik Nabil Derbel Alain Oustaloup Research unit on Intelligent Control design & Optimization of complex Systems (ICOS)University of Sfax Sfax Engineering School BP W 3038 Sfax Tunisia. IMS (UMR 5218 CNRS Université Bordeaux 1 - ENSEIRB - ENSCPB)Département LAPS 351 cours de la Liberation B(a)t. A4 - F33405 TALENCE cedex France. IMS (UMR 5218 CNRS Université Bordeaux 1 - ENSEIRB - ENSCPB) Département LAPS 351 cours de la Liberation B(a)t. A4 - F33405 TALENCE cedex France.

To govern perfectly the MIMO(Multi-Input Multi-Output) processes,a fully populated matrix controller has been proposed due to its *** non diagonal quantitative feedback theory approach is used with CRONE control struc... 详细信息

关键词： QFT Design Of Non-Diagonal controller Using MIMO-QFT Approach Combined With CRONE control:Application To Square System controller

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Preshaping Command Inputs For Third Generation CRONE control:Simulation On A DC Motor Bench

Preshaping Command Inputs For Third Generation CRONE Control...

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第五届国际自动控制联合会分数阶导数及其应用会议

作者： Rim Jallouli-Khlif Pierre Melchior Nabil Derbel Alain Oustaloup Research unit on Intelligent Control design and Optimisation ofcomplex Systems (ICOS)University of Sfax Sfax Engineering School BP W 3038 SfaxTunisia IMS (UMR 5218 CNRS Université de BordeauxIPB/ENSEIRB-MATMECA) Département LAPS351 cours de la Libération Bt. A4 F33405 TALENCE Cedex France IMS (UMR 5218 CNRS Université de Bordeaux IPB/ENSEIRB-MATMECA) Département LAPS 351 cours de la Libération Bt. A4 F33405 TALENCE Cedex France

Shaping command input is used for reducing oscillation in motion *** system inputs are altered so that the system achieves the requested move without residual *** technique is developed by N.C. Singer and ***

关键词： Command Preshaping Command Inputs For Third Generation CRONE control:Simulation On A DC Motor Bench

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Path Tracking Design Based On Frequency-Band Limited Fractional Differentiator With Speed And Acceleration Input

Path Tracking Design Based On Frequency-Band Limited Fractio...

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第五届国际自动控制联合会分数阶导数及其应用会议

作者： Pierre Melchior Najah Yousfi Chokri Rekik Nabil Derbel Alain Oustaloup IMS (UMR 5218 CNRS Université Bordeaux 1 - ENSEIRB - ENSCPB)Département LAPS 351 cours de la Liberation B(a)t. A4 - F33405 TALENCE cedex France. Research unit on Intelligent Control design & Optimization of complex Systems (ICOS)University of Sfax Sfax Engineering School BP W 3038 Sfax Tunisia. IMS (UMR 5218 CNRS Université Bordeaux 1 - ENSEIRB - ENSCPB) Département LAPS 351 cours de la Liberation B(a)t. A4 - F33405 TALENCE cedex France.

A new approach to path tracking based on fractional prefilter was developed in this *** previous works,this approach based on a Frequency Band Limited Fractional Differentiator(FBLFD)prefilter,with the position contro... 详细信息

关键词： Path Tracking Design Based On Frequency-Band Limited Fractional Differentiator With Speed And Acceleration Input

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Fuzzy predictive control of nonlinear systems

Fuzzy predictive control of nonlinear systems

引用

IEEE SSD International Multi-Conference on Systems, Signals and Devices

作者： Widien Dhouib Mohamed Djemel Mohamed Chtourou Research Unit of Intelligent Control design & Optimisation of complex Systems (ICOS) National School of Engineering of Sfax University of sfax Sfax Tunisia

This paper presents two strategies of nonlinear predictive control based on a Takagi-Sugeno fuzzy model. The first one introduces a fuzzy logic-based modeling methodology, where a nonlinear system is divided into a number of linear subsystems. So the linear model based predictive control (MPC) technique is used for each subsystem. In the second one, the fuzzy model is considered as a nonlinear model of the system and the control signal is obtained by minimizing either the cumulative differences or the instant difference between set-point and fuzzy model output. The efficiency of these two fuzzy model predictive control (FMPC) approaches is demonstrated through two examples.

关键词： Predictive models Predictive control Mathematical model Equations Nonlinear systems control systems

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