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  /ĂƚĂůŽŐEƵŵďĞƌ͗&WϭϭϱϰDͲZd



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WƌŽŐƌĂŵ   ZĞŐŝƐƚƌĂƚŝŽŶ;ϴ͘ϬϬDʹϵ͘ϬϬDͿ KƉĞŶŝŶŐĐĞƌĞŵŽŶLJ;ϵ͘ϬϬDʹϭϬ͘ϮϱDͿ ŽĨĨĞĞďƌĞĂŬ;ϭϬ͘ϮϱDʹϭϬ͘ϱϱDͿ

dŚƵƌƐĚĂLJ͕DĂƌĐŚϬϯ͕ϮϬϭϭ

ϭϭ͘ϱϬDʹϭϯ͘ϯϬWD

ƵŶĐŚďƌĞĂŬ;ϭϯ͘ϬϬWDʹϭϱ͘ϬϬWDͿ dͲĚǀĂŶĐĞĚ

ϮϳϯͲϮϵϰͲϮϵϱͲϯϭϯ

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ĚĂƉƚŝǀĞŽŶƚƌŽů

ϮϮϴͲϯϲͲϳϮͲϭϬϵ

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^ĞƐƐŝŽŶϰϰ ^ĞƐƐŝŽŶϰϱ

>ƵŶĐŚďƌĞĂŬ;ϭϯ͘ϬϬWDʹϭϰ͘ϯϬWDͿ ůŽƐŝŶŐĐĞƌĞŵŽŶLJ;ϭϰ͘ϯϬWDʹϭϲ͘ϬϬWDͿ             

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^ĐŚĞĚƵůŝŶŐ^ĞƐƐŝŽŶͬZŽŽŵ   KƉĞŶŝŶŐĐĞƌĞŵŽŶLJ ;ZŽŽŵEĞĨĨĞƌƚŝƚŝͿ ƵdžŽƌ ^ĞƐƐŝŽŶϵ ZŽŽŵ>ƵdžŽƌ ^ĞƐƐŝŽŶϭϰ ZŽŽŵ>ƵdžŽƌ

^ĞƐƐŝŽŶϱ ZŽŽŵĠƐĂƌ ^ĞƐƐŝŽŶϭϬ ZŽŽŵĠƐĂƌ ^ĞƐƐŝŽŶϭϱ ZŽŽŵĠƐĂƌ

^ĞƐƐŝŽŶϭϵ ZŽŽŵ>ƵdžŽƌ ^ĞƐƐŝŽŶϮϰ ZŽŽŵ>ƵdžŽƌ

^ĞƐƐŝŽŶϮϬ ZŽŽŵĠƐĂƌ ^ĞƐƐŝŽŶϮϱ ZŽŽŵĠƐĂƌ

^ĞƐƐŝŽŶϮϵ ZŽŽŵ>ƵdžŽƌ ^ĞƐƐŝŽŶϯϰ ZŽŽŵ>ƵdžŽƌ

^ĞƐƐŝŽŶϯϬ ZŽŽŵĠƐĂƌ ^ĞƐƐŝŽŶϯϱ ZŽŽŵĠƐĂƌ

^ĞƐƐŝŽŶϯϴ ^ĞƐƐŝŽŶϯϵ ZŽŽŵĂƌƚŚĂŐĞϭ ZŽŽŵĂƌƚŚĂŐĞϮ ZŽŽŵEĞĨĨĞƌƚŝƚŝ ZŽŽŵ>ƵdžŽƌ ^ĞƐƐŝŽŶϰϭ ^ĞƐƐŝŽŶϰϮ ^ĞƐƐŝŽŶϰϯ ^ĞƐƐŝŽŶϰϰ ZŽŽŵĂƌƚŚĂŐĞϭ ZŽŽŵĂƌƚŚĂŐĞϮ ZŽŽŵEĞĨĨĞƌƚŝƚŝ ZŽŽŵ>ƵdžŽƌ ůŽƐŝŶŐĐĞƌĞŵŽŶLJ ;ZŽŽŵEĞĨĨĞƌƚŝƚŝͿ

^ĞƐƐŝŽŶϰϬ ZŽŽŵĠƐĂƌ ^ĞƐƐŝŽŶϰϱ ZŽŽŵĠƐĂƌ

ZŽŽŵĂƌƚŚĂŐĞϭ ZŽŽŵĂƌƚŚĂŐĞϮ

^ĞƐƐŝŽŶϲ

^ĞƐƐŝŽŶϳ

ZŽŽŵĂƌƚŚĂŐĞϭ ZŽŽŵĂƌƚŚĂŐĞϮ

^ĞƐƐŝŽŶϭϭ

^ĞƐƐŝŽŶϭϮ

ZŽŽŵĂƌƚŚĂŐĞϭ ZŽŽŵĂƌƚŚĂŐĞϮ

^ĞƐƐŝŽŶϯ ZŽŽŵEĞĨĨĞƌƚŝƚŝ

^ĞƐƐŝŽŶϴ ZŽŽŵEĞĨĨĞƌƚŝƚŝ

^ĞƐƐŝŽŶϭϯ ZŽŽŵEĞĨĨĞƌƚŝƚŝ ŝŽŶĞůŵŽĚĞŽ 14.45 PM – 15.05 PM

Paper Id. 155

Max-Min Ant System for the sum coloring problem Douiri Sidi Mohamed and Souad Elbernoussi Research laboratory Mathematics Computing and Applications Faculty of Sciences Rabat, Morocco [email protected],[email protected] Abstract—The sum coloring problem (MSCP) is an NP-hard problem derived from the graphs coloring (GCP). The problem (MSCP) consists in minimizing the sum of colors in a graph. Our resolution approach is based on an hybridization of Max-Min Ant System (MMAS) an extension of Ant System and a local heuristic based on an improvement of the maximal independent set algorithm given by F. Glover[4]. 15.05 PM – 15.25 PM

Paper Id. 289

Apply the Fuzzy Logic Controller to optimization method to solve the vehicle Routing Problem Farah Belmecheri, Christian Prins, Farouk Yalaoui, Lionel Amodeo Institut Charles Delaunay-OSI, University of Technology of Troyes 12, rue Marie Curie, 10010 Troyes, France.

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{farah.belmecheri, christian.prins, farouk.yalaoui, lionel.amodeo}@utt.fr Abstract—The resolution methods of industrial problem as transportation problem, proposed in literature, are habitually the heuristic or metaheuristics approaches. They solve the large problem. However, these kinds approach use different and several parameters. For example, a genetic algorithm has the mutation and crossover parameters. In an ant colony algorithm, the parameters are the visibility and the deposited pheromones. In general, the difficulty of this kind approach is for calculating the good parameter values. This paper proposes a particle swarm optimization approach using a Fuzzy Logic Controller to solve a Vehicle Routing Problem. 15.25 PM – 15.45 PM

Paper Id. 71

New Parallel Genetic Algorithms for the singlemachine scheduling problems in agro-food industry Asma Karray1,2, Mohamed Benrejeb1, Pierre Borne2 LARA Automatique: Ecole Nationale d’Ingénieurs de Tunis, BP 48, Le Belvédère 1002 Tunis, Tunisie 2 LAGIS: Ecole Centrale de Lille, Cité scientifique, BP 48, 59650 Villeneuve d’Ascq Cedex, France [email protected], [email protected], [email protected] 1

Abstract—this paper investigates the multi-objective singlemachine scheduling problems in agro-food industry. These problems are strongly NP-hard and metaheuristics are known for theirs adaptability to this kind of problems. In this paper, is developed a novel parallel genetic algorithm to solve the singlemachine scheduling problems. A comparison between the conventional and parallel versions of genetic algorithm is provided. It relates to the quality of the solution and the execution time of the two approaches. Computational experiments on benchmark data sets show that the proposed approach reach better solutions in short computational times. 15.45 PM – 16.05 PM

Paper Id. 271

Lorenz dominance based metaheuristic to solve a hybrid flowshop scheduling problem with sequence dependent setup times Xiaohui Li, Hicham Chehade, Farouk Yalaoui, Lionel Amodeo University of technology of troyes Institut Charles Delaunay-LOSI, STMR UMR CNRS 6279 12 Rue Marie Curie, BP2060, 10000, Troyes Cedex, France [email protected], [email protected], [email protected], [email protected] Abstract—This paper deals with a multiobjective hybrid flowshop scheduling problem with sequence dependent setup times. Two different objectives are considered to be optimized at once. Our first contribution is to propose a special encoding for the studied problem. Then, our second contribution is that a new metaheuristic based on the Lorenz dominance relationship (LNSGA) is developed here to solve the studied problem. The goal is to improve the search ability of the original metaheuristic which is based on the Pareto dominance relationship (NSGA-II). The experimental result shows the effiency of L-NSGA to solve this problem. 16.05 PM – 16.25 PM

Paper Id. 284

On-line Identification of Multivariable Nonlinear System Using Neural Networks Ayachi Errachdi1, Ihsen Saad1 and Mohamed Benrejeb2 1 University of Sousse, Tunisia 2 University of Tunis. U.R. LARA Automatic, ENIT, BP 37, le Belv´ed`ere, 1002 Tunis, Tunisia. [email protected] , [email protected] , [email protected] Abstract—In this paper, an on-line identification method based on recurrent neural networks (RNN) proposed for multivariable nonlinear systems. This work is an extension of an on-line method for single-input single output system. The large number of inputoutput vectors is being considered. As the complexity and nonlinearity of the systems is treated. The effectiveness of the proposed algorithm applied to two examples of multivariable nonlinear dynamic systems is demonstrated by simulation experiments. The results of simulation showed that the use of the neural networksis helpful for adaptive strategy design.

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PROGRAM

Friday, March 04, 2011 14.45 PM – 16.25 PM

^ĞƐƐŝŽŶϮϵͲZŽďŽƚŝĐƐ ŚĂŝƌ͗:ŝůĂŶŝdĂŶĚhdZ>dͲĚǀĂŶĐĞĚ ^ƉĞĐŝĂů^ĞƐƐŝŽŶ Chair: Peter Jung 11.25 AM – 11.45 AM

Paper Id. 273

Optimum and Suboptimum 2D Channel Estimation for UTRA LTE and LTE-Advanced Michael Horvat1, Zijian Bai2, and Peter Jung2 Infineon Technologies AG, Am Campeon 1-12, 85579 Neubiberg, Germany 2 Lehrstuhl f ¨ur KommunikationTechnik, Oststr. 99, 47057 Duisburg, Germany [email protected], [email protected], [email protected] 1

Abstract— In this work a space-frequency block coding (SFBC) system is considered, which is compliant to the Long- Term-Evolution (LTE) specification. The uncoded bit error ratio (BER) of the linear Alamouti SFBC detector with BPSK modulation in the presence of 2-dimensional (2D) channel estimation is analyzed. The work in this paper comprises frequency-selective and Doppler fading. The quality of robust and optimum channel estimation is investigated by derivation of the Cramer-Rao Lower Bound (CRLB) for the complex-valued channel estimates. The BER performance of the LTE SFBC receiver is studied considering channel estimation with robust and optimum Wiener intepolation. The paper shows the effect of key system parameters on the SFBC performance, such as the anticipated power delay profile and Doppler spectrum at the channel estimator, the actual, i.e. true, power delay and Doppler spectrum, the pilot spacing and the Wiener filter length. 11.45 AM – 12.05 PM

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Paper Id. 294

Closed-Loop Schemes in UTRA LTE and LTE-Advanced Christoph Spiegel1, Zijian Bai1, Guido H. Bruck1, Peter Jung1, Michael Horvat2, Jens Berkmann2, Christian Drewes2 and Bertram Gunzelmann2 1 Lehrstuhl für KommunikationsTechnik University Duisburg-Essen 47048 Duisburg, Germany 2 Am Campeon 1-12 Infineon Technologies AG 85579 Neubiberg, Germany Abstract—The 3GPP (Third Generation Partnership Project) LTE (Long Term Evolution) activity towards the evolved UMTS (Universal Mobile Telecommunications System) Terrestrial Radio Access, which is known as EUTRA, was started in November 2004 and recently culminated in the Release 8 of the 3GPP technical specifications, cf. e.g. the technical specifications 3GPP TS 36.101 and 3GPP TS 36.201. In the case of the physical layer, the performance evaluation of E-UTRA must be based on the 3GPP technical recommendation TR 25.814, published in October 2006. This manuscript illustrates the performance which can be expected in the downlink of UTRA LTE in various conditions. 12.05 PM – 12.25 PM

Paper Id. 295

System Performance of UTRA LTE and LTE-Advanced Zijian Bai1, Christoph Spiegel1, Guido H. Bruck1, Peter Jung1, Michael Horvat2, Jens Berkmann2, Christian Drewes2 and Bertram Gunzelmann2 1 Lehrstuhl für KommunikationsTechnik University Duisburg-Essen 47048 Duisburg, Germany 2 Am Campeon 1-12 Infineon Technologies AG 85579 Neubiberg, Germany Abstract—The long term evolution of UMTS Terrestrial Radio Access (UTRA LTE) and its enhanced version – LTE-Advanced use OFDM (orthogonal frequency division multiplexing) combined with MIMO (multiple-input multiple-output), termed MIMO-OFDM. The spatial multiplexing (SM) MIMO scheme is deployed in LTE and LTE-Advanced downlink to provide high data rates. In this communication, the authors will discuss a set of block decision detection techniques orientated to SM signals in MIMO-OFDM system. Both zero-forcing (ZF) and minimum mean square error (MMSE) schemes based detection versions are presented. Setting out from a novel general model for the evaluation of the signal-to-noise ratio (SNR) at the data detector output, the authors will evaluate the error ratio performance of the novel MIMO detectors and provide comparison results. It will be shown that the simple block decision detectors rather than interference cancellation based schemes provide an attractive coded performance at a lower realization complexity. 12.25 AM – 12.45 AM

Paper Id. 313

A Cognitive Radio System Applicable to UTRA as Overlay Radio System Alexander Viessmann, Christian Kocks, Guido H. Bruck, Peter Jung University of Duisburg-Essen Department of Communication Technologies Duisburg, Germany [email protected] Abstract—Reconfigurability of transceivers for wireless communication systems such as UMTS/LTE, WiMAX, WLAN and GSM will become increasingly important. Therefore, a flexible and reliable software and hardware architecture based on the Software-Defined Radio (SDR) paradigm is a meaningful concept. Software-Defined Radios have paved the way towards Cognitive Radios, which are based on SDRs that additionally sense their environments, track changes, and react upon their findings. A Cognitive Radio is an autonomous unit in a communications environment that frequently exchanges information with the networks it is able to access as well as with other CRs. The artificial spectrum scarcity induced by strict regulations of available frequency spectrum resources leads to the fact that especially the frequency bands which are dedicated to cellular communications are used to full capacity while a wide part of the spectrum is nearly unused. Cognitive Radio is considered to be the enabling technology for a more efficient use of the available frequency spectrum. This contribution presents a Cognitive Radio hardware demonstration testbed in application to UTRA as overlay radio system.

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PROGRAM

Saturday, March 05, 2011 11.25 AM – 12.45 PM

^ĞƐƐŝŽŶϰϱͲĚĂƉƚŝǀĞŽŶƚƌŽů ŚĂŝƌ͗Antonis I.G. Vardulakis 11.25 AM – 11.45 AM

Paper Id. 228

Pole-placement controller with full adaptation for plant with unknown structure in application to servo control Dariusz Horla Poznan University of Technology, Institute of Control and Information Engineering, Faculty of Electrical Engineering, ul. Piotrowo 3a, 60-965 Poznan, Poland [email protected] Abstract—The paper considers simultaneous estimation of degrees and coefficients of plant model in the exemplary closedloop system with pole-placement algorithm. The plant has been chosen as servo drive with static nonlinearity, the discretetime controller has been implemented in Matlab (RTW) and communicates with the servo via AD-DC PCI bus card. 11.45 AM – 12.05 PM

Paper Id. 36

Adaptive Neural Internal Model Control for Complex Process with Delay Nawel Mensia1 Moufida ksouri2 Unit of research: Analysis and Control of Systems National Engineering School of Tunisia Elmanar, Tunisia [email protected] [email protected] Abstract— This paper adopts the adaptive neural internal model control strategy to design a control system for complex and uncertain process with delay. Because of the shortage of the classic internal model control system the performance of the control system will slip back if there exist large errors between the real plant and the model, an adaptive mechanism based on single neuron which can tune the parameters of the internal model and that of controller in the control system on line is designed. The multimodel approach is exploited to represent the direct model by a model basis made up of five linear models, and to construct a controller trained by the corresponding reverse models. The simulation results shows that the adaptive internal model control system designed in this paper has good performance of overcoming deviations of model parameters. 12.05 PM – 12.25 PM

Paper Id. 72

Robust Adaptive Fault-Tolerant Control applied to Interconnected Systems Amina Challouf, Adel Tellili,,Mohamed Naceur Abdelkrim and Christophe Aubrun, Unité de Recherche: Modélisation, Analyse et Commande des Systèmes (MACS), Ecole Nationale d’Ingénieurs de Gabès, Tunisia Centre de Recherche en Automatique de Nancy(CRAN), Nancy-University, CNRS UMR 7039 Facultés des Sciences et Techniques,France. [email protected], [email protected] Abstract—In this present article a centralized structure of an adaptive method to solve the problem of robust and fault tolerant control (FTC) for large-scale system linear, continuous and time invariant (LTI), against defects sensors and external disturbances is proposed. This class of system contain N-interconnected subsystems. In fact, it operates one architecture for the direct adaptive method. This is a centralized feedback controller. It is assured by some adaptation laws which are proposed to estimate the unknown potential of sensors faults, disturbances and controller parameters Online. Then, a class of centralized controllers return state is constructed to automatically compensate for the effects of faults and external disturbances based on information extracted. An adaptive mechanism from a scheme where active fault tolerant system is exploited. The proposed techniques are finally

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evaluated in the light of a simulation for an overall interconnected system that can be decomposed into two subsystems coupling. 12.25 AM – 12.45 AM

Paper Id. 109

Adaptive fuzzy output tracking control for nonlinear systems in semi-strict feedback form Raoudha Ben Khaled, Chaouki Mnasri and Moncef Gasmi Unité de Recherche en Automatique et Informatique Industrielle (URAII), INSAT, Tunis, Tunisia [email protected], [email protected], [email protected] Abstract—In this paper, a direct adaptive fuzzy tracking control is proposed for a class of uncertain single-input single-output nonlinear semi-strict feedback systems. Based on Takagi-Sugeno type fuzzy systems, a direct adaptive fuzzy tracking controller is developed by using the backstepping approach. The main advantage of the developed method is that for an n-th order system, only one parameter is needed to be adjusted online. It is proven that, under the appropriate assumptions, the developed scheme can achieve that the output system converges to a small neighborhood of the reference signal and all the signals in the closed-loop system remain bounded. The efficacy of the proposed algorithm is investigated by an illustrative simulation example of one link robot.

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