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Track following problem of a VCM actuator servo system for hard disc drives using predictive control

Track following problem of a VCM actuator servo system for h...

引用

9th International Multi-Conference on systems, Signals and Devices, SSD 2012

作者： Meziou, M. Taktak Ghommam, J. Derbel, N. National School of Engineering of Sfax Intelligent Control Design and Optimization of Complex Systems Unit Tunisia

ISBN: (纸本)9781467315906

This paper describes a Predictive control method used for track following control in hard disc drives (HDD). While reading/ writing data, the head must be positioned on the target data track quickly and precisely, and with the predictive control, we have achieved good tracking with the suppression of vibrations from high-order resonance modes. Simulation results show the effectiveness of the proposed approach and the servo system with predictive control presents good performances. © 2012 IEEE.

关键词： Servomechanisms

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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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Training a neural observer using a hybrid approach

Training a neural observer using a hybrid approach

引用

9th International Multi-Conference on systems, Signals and Devices, SSD 2012

作者： Loukil, Rania Chtourou, Mohamed Damak, Tarak Intelligent Control Design and Optimization of Complex Systems National Engineering School of Sfax Sfax Tunisia Automatic Control Unit National Engineering School of Sfax Sfax Tunisia

ISBN: (纸本)9781467315906

In this work, we use the approach based on observers such as the neural observer in order to introduce the diagnosis of nonlinear systems. There are different techniques for training the neural networks. Among these techniques, we quote the backpropagation technique, the backpropagation technique with momentum and the hybrid one which is a mixture between the backpropagation technique and the sliding variable structure. The robustness of this kind of training for neural observer is tested through a physical example. The obtained results show that the third type of training is better than using a classic kind of training especially concerning the rapidity of convergence. © 2012 IEEE.

关键词： Backpropagation

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Modular ultrasonic sensor platform for mobile robot

Modular ultrasonic sensor platform for mobile robot

引用

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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Track following problem of a VCM actuator servo system for hard disc drives using predictive control

Track following problem of a VCM actuator servo system for h...

引用

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

作者： M. Taktak Meziou J. Ghommam N. Derbel Intelligent Control Design and Optimization of Complex Systems Unit National Engineering School of Sfax Tunisia

This paper describes a Predictive control method used for track following control in hard disc drives (HDD). While reading/writing data, the head must be positioned on the target data track quickly and precisely, and with the predictive control, we have achieved good tracking with the suppression of vibrations from high-order resonance modes. Simulation results show the effectiveness of the proposed approach and the servo system with predictive control presents good performances.

关键词： Actuators Predictive control Hard disks Cost function Target tracking Mathematical model Frequency response

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Training a neural observer using a hybrid approach

Training a neural observer using a hybrid approach

引用

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

作者： Rania Loukil Mohamed Chtourou Tarak Damak Intelligent Control design and Optimization of complex Systems National Engineering School of Sfax Sfax Tunisia Automatic Control Unit National Engineering School of Sfax Sfax Tunisia

关键词： Training Observers Backpropagation Convergence Mathematical model Backpropagation algorithms Stability analysis

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Comparative study of voltage controlled current sources for biompedance measurements

Comparative study of voltage controlled current sources for ...

引用

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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MLP neural network based face recognition system using constructive training algorithm

MLP neural network based face recognition system using const...

引用

IEEE International Conference on Multimedia Computing and systems (ICMCS)

作者： Hayet Boughrara Mohamed Chtourou Chokri Ben Amar Intelligent Control design and Optimization of complex Systems (ICOS) Sfax Engineering School BP W Sfax Sfax Research Group on Intelligent Machines (REGIM) Sfax Engineering School BP W Sfax

Face recognition is one of the most efficient applications of computer authentication and pattern recognition. Therefore it attracts significant attention of researchers. In the past decades, many feature extraction algorithms have been proposed. In this paper Gabor features and Zernike moment were used to extract features from human face images for recognition application. This paper is a study for new constructive training algorithm for Multi Layer Perceptron (MLP) which is applied to face recognition application. An incremental training procedure was employed where the training patterns are learned incrementally. This algorithm started with a single training pattern and a single hidden-layer using one neuron. During neural network training, the hidden neuron is increased when the Mean Square Error (MSE) of the Training Data (TD) is not reduced or the algorithm gets stuck in a local minimum. Input patterns are trained incrementally (one by one) until all patterns of TD are selected and trained. Face recognition system structure based on a MLP neural network was constructed and was tested for face recognition. The proposed approach was tested on the UMIST database. Experimental results indicate that we can obtain an optimal architecture of neural network classifier (with the least possible number of hidden neuron) using our present constructive algorithm, and prove the effectiveness of the proposed method compared to the MLP architecture with back-propagation algorithm.

关键词： Face Feature extraction Face recognition Neurons Gabor filters Image recognition

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Fuzzy-Neural Networks for a piloted Quality Management System

Fuzzy-Neural Networks for a piloted Quality Management Syste...

引用

Mediterranean Electrotechnical Conference (MELECON)

作者： Hajer Ben Mahmoud Dammak Raouf Ketata Taieb Ben Romdhane Samir Ben Ahmed National Institute of Applied Science and Technology Tunis Tunisia Research units on Methods and tools for Complex Computer Systems (MOSIC) Tunis Tunisia Research units on Intelligent Control design and Optimization of Complex System (ICOS) Tunis Tunisia

The purpose of this paper is to provide a path for designing a tool for decision support to ensure the effectiveness of Quality Management System (QMS). For this, we propose a Fuzzy-Neural Networks (FNN) approach for improving the efficiency of such system. The aim of this approach is to classify the objectives for a real-world case study which presents a major problem for controlling the quality levels of its production lines. This approach provided a significant improvement when the testing data are various or complex.

关键词： Fuzzy neural networks Quality management Computational modeling Classification algorithms Biological system modeling Unified modeling language

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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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