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Modelling, Identification and Control (ICMIC), The 2010 International Conference on

Date 17-19 July 2010

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  • [Front cover]

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  • [Copyright notice]

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  • Contents

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  • Plenary speakers

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    Professor José RAGOT received the “Diplome d'Ingénieur” (Engineer's Degree) with specialization in control from the Ecole Centrale de Nantes (France) in 1969. Then, he joined the University of Nancy (France) where is received the “Diplôme d'Etudes Approfondies” (Masters' Degree) in 1970. In 1973 he obtained the “Diplôme de Doctorat” (Ph. D. degree), a position as assistant professor at University Henri Poincaré in Nancy, and in 1980 the “Diplôme de Doctorat-es-Sciences”. José Ragot moved up to professor in 1985 at the Institut National Polytechnique de Lorraine (INPL, National Polytechnic Institute of Lorraine). Presently he is a Professor (with highest degree “Classe Exceptionnelle”) at the “Ecole Nationale Supérieure de Géologie” (french “Grande Ecole”) where he has in charge the formation in automatic control. José RAGOT is researcher in the “Centre de Recherche en Automatique de Nancy” (CRAN, CNRS UMR 7039) where he was the head of the group “process diagnosis” during 12 years. His major research fields include data validation and reconciliation, process diagnosis, fault detection and isolation. A part of his activities is devoted to modelisation ans state estimation, adapted to process diagnosis and mainly in the field of multi-models. He has successfully advised 63 Ph.D. and 3 H.D.R (French D. Sc.) and published about 500 refereed technical communications including 94 papers in international journals, 280 communications in international conferences, 4 books (Masson, Hermès, Lavoisier), 12 chapters in collective volumes. A list of these publications can be founded at http://perso.ensem.inpl-nancy.fr/Jose.Ragot/. Applications have been in various fields such as mineral and metallurgical processing, chemical engineering, water trea- - tment, aerospace, environmental processes. Since 1980, José RAGOT was the conductor of about 60 industrial research projects (with EDF, ELF, ARCELOR MITAL, AIRLOR, PECHINEY, ALSTOM, SNECMA, LAFARGE, DELPHI, RHÔNE POULENC, PSA, AIRBUS, THALES …). He was a member of more that 220 Ph. D. committees (France, Spain, Germany, Belgium, Russia, Tunisia). He regularly contributes to national and international activities as a member of TC4 of IFAC, through conferences organisation, international program committee of conferences, reviewer in international journals and conferences, national expert for research project of the french CNRS, national expert for laboratory activities evaluation for the French Ministary of Research. He was invited at several universities as a lecturer : EPFL (Lauzane, Suiss), UTC (Compiègnes, France), UTT (Troyes, France), ENIT (Tunis, Tunisie), ENIM (Monastir, Tunisie), Jijel University (Annaba, Algérie), ESISAR (Valence, France). View full abstract»

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  • Publication

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  • Organizing committee members

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  • Author index

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  • Abstract

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    Presents abstracts for the articles comprising the conference proceedings. View full abstract»

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  • Streaming services in High Speed Downlink Packet Access

    Page(s): 1 - 6
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (978 KB) |  | HTML iconHTML  

    The evolution of the WCDMA air interface, namely High Speed Downlink Packet Access (HSDPA) allows UMTS networks to improve network capacity and increase the theoretical data rates up to or above 10 Mbps. However, in HSDPA networks and the shared downlink radio channel used in HSDPA stills suffers from the insufficient data rates and are considered a challenging environment for delay and loss-sensitive application like video streaming services. The aim of this paper is to research streaming services in UMTS/HSDPA by means of simulation tools. A simulation model that helped to evaluate the video streaming services in UMTS/HSDPA networks has been developed. Several techniques in HSDPA for streaming services are reviewed to understand performance metrics for analysis, comparison and evaluation. This paper has focused mainly on RLC operation modes, multipath fading environments and packet scheduling on streaming services in HSDPA. The simulation results are presented and discussed briefly to conclude some important refinements in the existing models. View full abstract»

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  • A pervasive servicediscovery strategy based on peer to peer model

    Page(s): 7 - 11
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (722 KB) |  | HTML iconHTML  

    In order to improve the efficiency of service discovery in the pervasive environment, this paper presents a new strategy of service discovery based on p2p network model. Reference the ring topology of chord algorithm and the algorithm used by DHT, the traditional single finger-table witch be maintained by each node in the ring will be changed into double finger-table: the Neighbor-Finger-Table and Long-distance Finger-Table. The structure of the Neighbor-Finger-Table is the same as the traditional single finger-table's. The Long-distance Finger-Table can construct small-world network. Some similar algorithm uses random method to select remote access node, the new strategy is different from that, through the calculation of the local node, it can ensure the scope of service can cover the entire network. The simulation shows the algorithm can effectively reduce the path length of service discovery, improve the service success rate, and control the path length of magnitude. View full abstract»

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  • Control reconfiguration of new strap-on boosted launch vehicle [PRC] with deadlocked swing engines

    Page(s): 12 - 17
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (1176 KB) |  | HTML iconHTML  

    To enhance the reliability of launch vehicle attitude control systems and prevent the control invalidation caused by swing engine deadlock, a control reconfiguration of fault-tolerant control is proposed. Firstly, the coupling identity between the channels is discussed based on the dynamic model of the vehicle. Then, under the assumption of no rolling motion, we study the swing angles reconfiguration method based on the moment balance principle, and then deduce the relationship between the swing angle of the deadlocked engines and the engines still operate well. From the rationality analysis, the safe bound of the deadlocked engine and reconfiguration conditions are proposed under several assumptions. Finally, the numerical simulation of rocket attitude control based on the discussed reconfiguration strategy is given to demonstrate that the variance of the control affect by the deadlocked engine could be rectified by other booster-engines effectively. View full abstract»

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  • The circular-scanning algorithm in laser marking based on mathematical morphology: Design and implementation

    Page(s): 18 - 23
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (2023 KB) |  | HTML iconHTML  

    Laser processing has excellent processing performance, making the laser processing technology used widely, bringing huge economic benefits. An efficient algorithm of circular scanning and the corresponding design and implementation in laser marking will be introduced in this article. The algorithm is based on mathematical morphological, and realized on Visual c++ and GDI+ platform. The distance of the scanning line we got in the original graphic is in accordance with our expectation, and the scanning time is not more than 0.1s. Such stability and accuracy is originated from the core portion of the algorithm that is one-step scanning which makes each closed contour widen inspired by the thought of corrosion expansion algorithm and is aplicable to any curves so that assure reliability, such widen size is in accordance to scanning distance setted by users. This article can be divided into three parts: basics introduction, algorithm design, implementation. The results of numerous circular-scanning examples verify the effectiveness of the algorithm. View full abstract»

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  • Characterization of unconventional multi-dimension wing rock phenomenon

    Page(s): 24 - 29
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (1233 KB) |  | HTML iconHTML  

    In order to investigate thoroughly the influence of the pitching disturbance on the lateral-directional wing rock, this paper modified Ananthkrishnan's large-amplitude model by simplifying the longitudinal perturbation model and adding such angle of attack(AOA) perturbation into evaluations of all the lateral-directional aerodynamic coefficients, instead of merely working over the coupling effect. Subsequently, a quantitative analysis concerning the unconventional complex wing rock phenomenon including the roll jump, the chaos and the multi-period oscillation, was conducted by fluctuating the longitudinal frequency factor and the lateral-longitudinal coupling index at existence of the internal resonance. The result of the parametric fluctuation analysis demonstrates that the infinitesimal longitudinal oscillation could not be safely neglected since it potentially holds a profound impact on the dominant lateral-directional movement, especially in condition of internal resonance. View full abstract»

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  • Application of GA optimization for automatic generation control in realistic interconnected power systems

    Page(s): 30 - 34
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (1119 KB) |  | HTML iconHTML  

    This paper proposes a more realistic model for automatic generation control (AGC) design in an interconnected power system by considering the generation rate constraint (GRC), dead band, and time delays. These physical constraints imposed to power system by governor-turbine, filters, thermodynamic process, and communication channels. The simplicity of structure and acceptable response of the well-known integral controller make it attractive for power system AGC issue. In this paper, a genetic algorithm (GA) approach is employed to calculate the controller parameters to achieve an optimal performance. Importance of considering the physical constraints is demonstrated by examination of the closed loop performance in a 3-control area power system. It is shown that neglecting above physical constraints, simultaneously or in part, leads to impractical and invalid results. Taking to account the advantages of the GA besides considering a more complete dynamic model provides a flexible and more realistic AGC system in comparison of existing conventional schemes. View full abstract»

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  • Identification of nonlinear systems using a Trigonometric Polynomial Neural Network

    Page(s): 35 - 40
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    A Trigonometric Polynomial Neural Network, called TPNN, is proposed in this paper. TPNN is a new scheme of neural network based on a trigonometric polynomial which is familiar in Fourier Analysis. The proposed network is linear with respect to its coefficients and the well known recursive least squares method of linear parameter estimation can be used as a learning algorithm. Using the TPNN, learning of nonlinear functions and identification of nonlinear discrete time systems are examined with some additional comments for the type of nonlinear systems. The efficiency of the proposed method is also certified by applying the identified system for control of nonlinear discrete time system. View full abstract»

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  • Modular reinforcement learning for the detection of second order correlation of multi-sensors

    Page(s): 41 - 46
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    The modular reinforcement learning system, which is composed of some control modules and a selection module, was developed to apply to the task where several types of sensor information were necessary for the control. In this study, the modular reinforcement learning was applied to the task where the second order correlation of two different sensors must be discriminated. The target (goal) has the correct image and lamp, and other objects have one of them or another image. To discriminate between the target and other objects, the “AND” condition of light sensors and camera must be distinguished. Since the learning efficiency was low, the iterative learning and the initial learning were proposed. As a result, the appropriate module selections and action selections were trained by the modular reinforcement learning. View full abstract»

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  • On-line fuzzy identification of thermal systems based on an improved T-S model

    Page(s): 47 - 52
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (729 KB) |  | HTML iconHTML  

    In view of fuzzy modeling of complicate nonlinear systems, an on-line identification algorithm based on an improved T-S model is presented. Differential equation structure of the model is obtained first, then the fuzzy cluster center is corrected on-line according to the close degree of the input sample and the cluster center, and the cluster radius is refreshed in real-time according to the distance between the input sample and the cluster center. Finally, consequent parameters of the model are identified by the recursive least squares algorithm. Compared with previous identification algorithms, the on-line identification algorithm presented in this paper requires less fuzzy rules, has higher identification precision, and is simple and easy to implement. Practicability and effectiveness of the method are proved by the simulation results of the Box-Jenkins data and the boiler overheated steam temperature system. It provides a method to identify model parameters on-line for many new control strategies, such as fuzzy predictive control, adaptive control, etc. View full abstract»

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  • Improved T-S fuzzy model identification approach and its application in power plants

    Page(s): 53 - 58
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (662 KB) |  | HTML iconHTML  

    Systems in power plants often contain nonlinearity, complexity and randomicity. It is difficult to build their model by traditional methods. An improved fuzzy identification approach based on Takagi-Sugeno (T-S)model is proposed to solve the problem. In this paper, T-S model is firstly modified to make its identification easier. Following that, input vector is determined by heuristic knowledge and exponential form membership function is used to avoid conclusion can not be calculated. Then, entropy cluster algorithm is analyzed and improved to automatically determine the number of subspace and initial subspace centers. Finally, competitive learning algorithm and weighted recursive least-square algorithm are used to estimate the parameters of T-S model. Simulation results show that the proposed approach can describe nonlinear system in power plants accurately, and the relevant algorithm is simple and fast. View full abstract»

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  • The impacts of distributed doubly-fed induction generators on smart distribution Grid protection

    Page(s): 71 - 75
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (912 KB) |  | HTML iconHTML  

    Doubly-fed induction generators (DFIG) used an AC-DC-AC power converter to excite the machine and connected crowbar protection in its rotor side, which makes fault characteristic differ from the synchronic generator's. That may bring problems to traditional current protection in distribution grid. Also, DFIG as a distributed generator (DG) had capability of Fault Ride-Through (FRT), but the tripping principles of the protection installed at point of common coupling (PCC) may disconnect DG when a fault occurred in the Grid. Based on the short circuit current analysis concerned its magnitude and decay time, a compounded current-voltage protection at the PCC is proposed. That scheme could overcome “negative” impact on protection caused by fault current characteristic of DFIG and ensure the DFIG operate under FRT when a fault happens in distribution network.. View full abstract»

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  • A novel anti-theft and detection method of street lamp power cables

    Page(s): 76 - 81
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (830 KB) |  | HTML iconHTML  

    A novel anti-theft and detection method of street lamp power cables is presented in the paper. An tunable capacitor is parallell connection with the single-phase bus on the transformer'outlet side. The frequency which makes the input impedance's imaginary part zero can be found by injecting a ariable Frequency Constant signal. The number of lamp which connect to the street lamp system can be calculated. Whether the cable is stolen or not can be judged, and the fault location can be calculated. The novel method is no necessary to add equipment to the end of street lamp power cables, and it's not influenced by power transformer types and the cable length. Simulation experimentations are carried out. Simulation results show that the method is simple and correct. View full abstract»

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  • Bond Graph modeling of a baker's yeast bioprocess

    Page(s): 82 - 87
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    The modeling of bioprocesses is a difficult task, because of the high interaction degree of the phenomena, nonlinearities, and uncertainties of reaction kinetics. Bond Graph method is an appropriate tool for modeling such nonlinear processes. In this paper, the so-called pseudo Bond Graph method is proposed as a modeling technique for a baker's yeast process, widely used in bioindustry. First, the pseudo Bond Graph method is applied in order to model a prototype bioprocess starting from the reactions schemes and taking into account the biochemical phenomena. Then the obtained rules are applied on a complex baker's yeast process, which is carried out into a Continuous Stirred Tank Bioreactor. The obtained Bond Graph models and several simulations are conducted using 20sim modeling and simulation environment. View full abstract»

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  • Structural properties and reduced order modeling of a class of bioprocesses

    Page(s): 88 - 93
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    This paper deals with the analysis of a nonlinear dynamical model of a class of bioprocesses. Some structural properties are widely discussed, such as the partition of the model in a linear part and a nonlinear term, the decoupling of the kinetics, the positivity of the model. Also, the singular perturbations method and quasi-steady state assumption are used in order to obtain reduced order models, practical for control design. The obtained results are tested by using a complex anaerobic bioprocess, utilized for wastewater treatment, which takes place into a Continuous Stirred Tank Bioreactor. View full abstract»

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  • Dynamics analysis of high speed railway vehicles excited by earthquake forces

    Page(s): 94 - 99
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    Based on Kalker's linear theory and the heuristic nonlinear creep model, the nonlinear coupled differential equations of the motion of twenty degrees of freedom car system, considering the lateral displacement and the yaw angle of each wheelset, the lateral displacement, vertical displacement, roll angle and yaw angle of the truck frames and the car body moving on curved tracks, are derived completely. The dynamic responses of railway vehicle with the earthquake forces acting on the wheelset in the lateral direction are investigated. From the numerical results, when the earthquake forces are applied, the amplitude of oscillation of a wheelset becomes to be violent as the velocity increases. It can be obtained that the influence of the external forces on the dynamic stability of the vehicle can't be neglected. View full abstract»

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  • Load reconstruction on a missile structure using the Pseudo-Inverse methods

    Page(s): 100 - 105
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    A missile during air carriage is subjected to high vibratory forces. These forces consequently impose high levels of stress on the attachment points to the aircraft. A repetitive application of stress causes fatigue. However, since the vibratory forces cannot be measured directly at the interface, an inverse method utilizing missile accelerometer data has been used to determine the forces. This paper presents two techniques of reconstructing loads. Both techniques utilize a frequency domain method and the Pseudo-Inverse method, although the second procedure incorporating a normal modes analysis is perhaps better suited for embedding within a Health and Usage Monitoring System (HUMS). Both methodologies enable discrete dynamic loads, which are applied to a finite element model in the time domain, to be successfully reconstructed. Consequently, by identifying forces on a missile structure successfully, the presented methodologies enable a better structural integrity assessment to be undertaken. View full abstract»

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  • Modeling and combined control of aerial vehicle based on aerodynamic force and lateral thrust

    Page(s): 106 - 111
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    The aim of the traditional aerodynamic control is to change the aerial vehicle attack angle by angular motion induced by a moment, which is generated by deflecting its control surfaces, so as to make it be able to generate pneumatic lift and obtain the expected lateral acceleration. However, this maneuvering process will result in a delay between sending and conducting of command signals. Compared with the aerodynamic control mode, in the direct lateral thrust control mode, the lateral control jet engine is used to generate control force and torque. Therefore, in this paper a combined control mode of lateral thrust and aerodynamic force is proposed to solve the problem of rapid response and high available overload. First, the control scheme is established using the aerodynamic control as the main input and the reaction-jet control system (RCS) as the auxiliary input. Then the dynamic and kinematics mathematic model of the aerial vehicle is built based on the direct lateral thrust control. As the final step, aiming at the task of terminal stage of the aerial vehicle to attack the target from the top, the combined control system is designed according to fuzzy adaptive algorithm. Simulation results indicate that the overload required under the combined control is lower than that under the aerodynamic control. So this combined control system can satisfy the requirements of the aerial vehicle overload better than the traditional mode does. View full abstract»

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