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On the performances of neuronal classifiers for pattern recognition

On the performances of neuronal classifiers for pattern reco...

引用

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

作者： Hayet Boughrara Mohamed Chtourou Research unit on Intelligent Control design and Optimisation of complex Systems (ICOS) Sfax Engineering School University of Sfax Sfax Tunisia

This work consists on the evaluation of the performances of three neural classifiers. The Multi-Layer Perceptron (MLP), the Self-Organizing Map (SOM), the Learning Vector Quantization (LV Q) are considered by this study. The example that will be considered in the evaluation of the technical classifications's performances is the handwritten character recognition.

关键词： Pattern recognition Character recognition Performance evaluation Multilayer perceptrons Vector quantization Data mining intelligent control Signal design design optimization design engineering

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Decomposition and hierarchical control for discrete large scale system using neural networks

Decomposition and hierarchical control for discrete large sc...

引用

International Conference on Advances in Computational Tools for Engineering Applications, ACTEA

作者： Najla Krichen Masmoudi Chokri Rekik Mohamed Djemel Nabil Derbel Research Unit on Intelligent Control design and Optimisation of complex Systems (ICOS) Sfax Engineering School University of Sfax Sfax Tunisia

This paper presents a method to compute sub-optimal control strategies of discrete time large scale nonlinear systems by neural networks. The method is based on the principle of decomposition of the global system into interconnected subsystems for which we consider that non-linearities are located in the interconnection terms. Then, a mixed method is considered to coordinate between different subsystems in order to compute the optimal control. So, for each subsystem, local optimal feedback gains are expressed in terms of the interconnection vector. For this purpose, neural networks have been used in order to identify these gains. Simulation results of a rotary crane show that the proposed method yields to satisfactory performances. The robustness of the proposed approach is analysed.

关键词： control systems Large-scale systems Neural networks Computer networks Nonlinear control systems Nonlinear systems Optimal control Neurofeedback Computational modeling Cranes

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intelligent model of continuous improvement mechanisms scope of QMS

Intelligent model of continuous improvement mechanisms scope...

引用

IEEE International Conference on systems, Man and Cybernetics

作者： Sofiene Hermi Taieb Ben Romdhane Raouf Ketata Department of Physics and Instrumentation Engineering National Institute of Applied Science and Technology Tunis Tunisia Research Unit on Intelligent Control Design and Optimization of Complex System (ICOS) National Engineering School of Sfax Sfax Tunisia

This work proposes a new methodology to evaluate and improve the QMS (Quality Management System) effectiveness and efficiency to succeed for a factual approach including all monitoring parameters. This idea is justified by the difficulties incurred by the organizations to establish a continuous improvement's system based on the objectives and the process approach. In addition, the guidelines defined by the FDX 50-174 part published by AFNOR to assess the QMS effectiveness, still guides defining the assessment criteria and progress levels. Indeed, to facilitate the continuous improvement system's integration, we propose a new methodology based on a broad range of monitoring tools (functional and operational indicators, audits, quality control, customer satisfaction) and including the requirements of the process and the system approach.

关键词： Continuous improvement design engineering Quality management Condition monitoring Customer satisfaction ISO standards Physics Instruments Management training Cybernetics

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A Sliding mode control applied to whirling pendulum

A Sliding mode control applied to whirling pendulum

引用

2nd International Conference on Signals, Circuits and systems

作者： Mahjoub, Sonia Mnif, Faical Derbel, Nabil Research unit on Intelligent Control design Optimization of complex Systems (ICOS) Department of Electrical and Computer Engineering Sultan Qaboos University Muscat Oman

ISBN: (纸本)9781424426270

In this paper, we present a VSS-based tracking control for a fixed point regulation of 2-DOF underactuated manipilators The design approach is systematic and relies on the selection of appropriate choice of two sliding surface. The controller is designed for the both sliding surfaces are attractive. Lyapunov theory is used to study and demonstrate the stability of the system. Convergence of state space is proved and robustness issues to bounded disturbances are also investigated. Simulation results on 2-DOF whirling pendulum are presented to chow the effectiveness of this approach.

关键词： VSS sliding mode underactuated manipulator whirling pendulum

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A DISCUSSION ON SUGENO FUZZY LOGIC APPROXIMATIONS OF NONLINEAR systems

A DISCUSSION ON SUGENO FUZZY LOGIC APPROXIMATIONS OF NONLINE...

引用

5th International Multi-Conference on systems, Signals and Devices

作者： Derbel, Nabil Research Unit on Intelligent Control Design and Optimisation of Complex Systems (ICOS) University of Sfax National School of Engineers of Sfax (ENIS)

ISBN: (纸本)9781424422050

This work is aimed at looking into the use of fuzzy systems for the study of nonlinear systems. In a first step, zero-order and first-order Sugeno fuzzy models are defined as approximators of nonlinear systems. It has been found that zero-order fuzzy systems are equivalent to the classical interpolation approach. Nonlinear terms have been limited by two fuzzy systems. The mean fuzzy system gives good accuracy. As illustrations, some numerical applications have been considered to show the efficiency of the use of fuzzy systems to study nonlinear problems.

关键词： Nonlinear Problems Zero-Order Sugeno Fuzzy systems First-Order Sugeno Fuzzy systems Nonlinear Approximators

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A Multi Objective Genetic Algorithm based optimization of wavelet transform implementation

A Multi Objective Genetic Algorithm based optimization of wa...

引用

International design and Test Workshop

作者： S. Fakhfakh Ghribi D. Sellami Masmoudi N. Derbel Research unit on Intelligent Control design and Optimization of complex Systems (lCOS) University of Sfax Sfax Tunisia

In this paper, an optimization method based on multi objective genetic algorithm (MOGA) is proposed in the design of a filter bank discrete wavelet transform (DWT). The different criteria are related to wavelet perfect reconstruction condition and minimization of the total number of non zero bits. Simulation results illustrate the optimization process applied to a case study : the Biorthogonal 9/7 DWT. They reveal improvement of compression performance and minimization of the number of non-zero bits. Performance measurements of the introduced method are even better than the original unquantized filter itself. Implementation results show a reducing hardware cost in comparison of proposed quantization method with trivial ones.

关键词： Genetic algorithms Wavelet transforms Discrete wavelet transforms optimization methods Algorithm design and analysis Filter bank Measurement Hardware Costs Quantization

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Real time localisation of a mobile robot using Webcam data

Real time localisation of a mobile robot using Webcam data

引用

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

作者： L. Amouri M. Jallouli N. Derbel Research unit on Intelligent Control design & Optimization of complex Systems (ICOS) Engineering School of Sfax (ENIS) Sfax Tunisia

Localization is one of the most important functions for the mobile robot navigation. Most of previous position estimation methods calculate current position and orientation of mobile robot by applying various localization schemes with the information obtained from internal sensors which are set on the mobile robot, or by recognizing an artificial landmark attached on the environment. Several drawbacks about them have been brought up. To avoid these inconvenient, a new localization method that calculate in real time the absolute position of the mobile robot by using external camera fixed on the ceiling in the indoor environment is proposed. Besides, this approach provide a low expensive solution using a Webcam. The effectiveness of the proposed localization algorithm is demonstrated through the experiments.

关键词： Robots Robot kinematics Mobile robots Sensors Robot sensing systems Trajectory Wheels

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Fuzzy identification of dynamic systems with adaptive structure

Fuzzy identification of dynamic systems with adaptive struct...

引用

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

作者： Sonia Alimi Mohamed Chtourou Research unit on Intelligent Control design and Optimization of complex Systems (lCOS) Department of Electrical Engineering National School of Engineers of Sfax Sfax Tunisia

This paper deals with two approaches for on line structure identification of fuzzy models. In the first one, a constructive algorithm is adopted to generate the fuzzy rules: it starts with a single pattern and a single fuzzy rule and grows progressively to reduce the system error within the specified tolerance. In the second one, an evolutionary algorithm is applied based on an alternation between incremental and pruning criteria. Indeed, the rule base is expanded when the model can not reduce the system error and one rule is removed if it has a petty contribution in the model output along some patterns. The presented approaches have been applied for two examples of dynamic systems to compare the identification performance.

关键词： Mathematical model Training Adaptation model Evolution (biology) Equations Heuristic algorithms Artificial neural networks

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A sliding mode control applied to whirling pendulum

A sliding mode control applied to whirling pendulum

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International Conference on Signals, Circuits and systems, SCS

作者： Sonia Mahjoub Faical Mnif Nabil Derbel Control design Optimization of complex Systems (ICOS) Research unit on Intelligent France Department of Electrical and Computer Engineering Sultan Qaboos University Muscat Oman

In this paper, we present a VSS-based tracking control for a fixed point regulation of 2-DOF underactuated manipulators. The design approach is systematic and relies on the selection of appropriate choice of two sliding surface. The controller is designed for the both sliding surfaces are attractive. Lyapunov theory is used to study and demonstrate the stability of the system. Convergence of state space is proved and robustness issues to bounded disturbances are also investigated. Simulation results on 2-DOF whirling pendulum are presented to chow the effectiveness of this approach.

关键词： Sliding mode control control systems Manipulators Actuators Linear feedback control systems Torque control intelligent control design optimization Mechanical systems Robust control

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Synthesis of a robust neural input-state feedback controller for nonlinear systems

Synthesis of a robust neural input-state feedback controller...

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

作者： Sondess Ben Aoun Nabil Derbel Houssem Jerbi Research unit on Intelligent Control design and Optimization of complex Systems (lCOS) University of Sfax Sfax Tunisia design and Optimization of complex Systems (ICOS) ENIS Sfax Tunisia Laboratoire d'Etude et de Commande Automatique des Processus (LECAP) Ecole polytechnique de Tunisie Tunisia

This paper presents a design approach to hybrid control systems, combining analytical feedback linearization control techniques with neural networks. Such a mixed implementation leads to a more effective control design with improved system performance and robustness. The main objective of integrating neural networks is to overcome the problems with uncertainties in the plant parameters and structure encountered in the analytical model-based design. Shunt DC motor is characterized by complex nonlinear and time-varying dynamics and inaccessibility of some model parameters for on line measurements, and hence can be considered as an important challenging engineering topic. The input-state feedback linearization technique is known for its good results locally in a neighborhood of an operating point. However, these results are sensitive to model parameter variations and so performances may deteriorate. Neural network-based controllers are considered as candidates for this parameters sensitivity. In a first step, an algorithm for analytical exact input-state linearizing control is formulated. The following step is dedicated to the robust neural feedback controller design. A simulation study of these methods is presented. The effectiveness of the neural controller with respect to the analytical one is demonstrated for a large armature resistance variation.

关键词： Artificial neural networks Resistance DC motors Robustness Neurons Mathematical model Adaptive control

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