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Modelling, Identification & Control (ICMIC), 2012 Proceedings of International Conference on

Date 24-26 June 2012

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Displaying Results 1 - 25 of 239
  • Table of contents

    Publication Year: 2012 , Page(s): 1 - 17
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  • Author index

    Publication Year: 2012 , Page(s): 1 - 10
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  • Proceedings of 2012 International Conference on Modelling, Identification and Control [Front cover]

    Publication Year: 2012 , Page(s): c1
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  • [Title page]

    Publication Year: 2012 , Page(s): 1
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  • Proceedings of 2012 International Conference on Modelling, Identification and Control [Copyright notice]

    Publication Year: 2012 , Page(s): 1
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  • Modeling and simulation of temperature-induced luminous intensity for fiber-optic photoelectric sensors

    Publication Year: 2012 , Page(s): 1 - 5
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1144 KB) |  | HTML iconHTML  

    Fiber-optic photoelectric sensors provide a sensing solution for applications involving small targets or unfavorable conditions. It is, however, recognized that photoelectric signal is subject to temperature drift, and faulty detection could be resulted if proper compensation is not considered during phase of design. In this paper, principle of fiber-optic photoelectric sensors is formulated, and temperature characteristics of the transmitter for photoelectric sensor are analyzed. Then, modeling of emitting irradiance is presented, so that temperature-induced luminous intensity could be adequately compensated. Simulation results demonstrating the effectiveness of the modeling strategy are given. View full abstract»

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  • Analysis and application of pump controlled motor speed servos with/without a position loop

    Publication Year: 2012 , Page(s): 555 - 560
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1327 KB) |  | HTML iconHTML  

    Mathematic models and a test system of pump controlled motor speed servos (PCMSS) with /without a position loop are established and their dynamic performances are studied by simulation and experiments. Results indicate that PCMSS with a position loop can achieve high stability and speed precision relying on the position closed loop in the pump and the motor speed closed loop, whereas PCMSS without a position loop is unstable only depending on the speed closed loop. Therefore, to achieve nice performances for PCMSS, the displacement of a variable delivery pump should be independently adjusted while motor's rotary speed is fed back and controlled in closed loop. View full abstract»

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  • Robust synchronization algorithm for electro-hydraulic motion systems

    Publication Year: 2012 , Page(s): 6 - 11
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (797 KB) |  | HTML iconHTML  

    In manufacturing industries, two symmetric cylinders of an electro-hydraulic motion system are required to move synchronously for good quality of products and for long lifetime of the machine. In this paper, a robust model-based predictive control (MPC) algorithm is presented for satisfactory performance in terms of tracking and synchronization. First, the synchronization error between different motion axes is embedded in the performance index, and the optimal synchronization control law is obtained through minimization of the modified performance index in a natural way. Then, attempts are made to investigate stability robustness in presence of additive model uncertainties. Simulation results on electro-hydraulic process demonstrating the effectiveness of the proposed controller are given. View full abstract»

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  • A magnitude-phase detection method for grid-connected voltage of wind power generation system

    Publication Year: 2012 , Page(s): 926 - 932
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1255 KB) |  | HTML iconHTML  

    In order to keep low-voltage ride-through under the grid faults for wind power generation system, the magnitude and phase information of the system grid-connected voltage must be detected fleetly and precisely so that the control subsystem of wind power generation system can tackle the faults. The conventional three-phase software phase-locked loop (SPLL) has a low speed of dynamic response because of the effects of negative-sequence and harmonic components. Also it can not exactly extract the fundamental positive-sequence magnitude and phase of three-phase voltage. This paper proposes a novel three-phase magnitude-phase detection method based on PQR transformation. The proposed method can decouple the fundamental positive-sequence component and negative-sequence component of three-phase voltage, and detect the magnitudes and phases of them respectively. The simulation results verify that the proposed method can overcome the shortcomings of conventional three-phase SPLL, track the magnitude and phase information of the fundamental positive-sequence voltage accurately and improve the speed of dynamic response effectively under the bad harmonic condition. The novel magnitude-phase detection method can be used to detect exactly the grid-connected voltage of wind power generation system. View full abstract»

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  • Bi-criteria torque minimization of redundant robots performing different end-effector trajectories by using simplified LVI-PDNN

    Publication Year: 2012 , Page(s): 791 - 796
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (752 KB) |  | HTML iconHTML  

    In this paper, we present a bi-criteria torque-minimizing (BCTM) scheme for robotic redundancy resolution. Such a bi-criteria scheme combines the minimum two-norm and minimum infinity-norm solutions of joint torque via a weighting factor. In addition, the presented BCTM scheme is unified as a general quadratic program (QP) subject to equality, inequality, and bound constraints. As a real-time QP solver, a simplified linear variational inequality (LVI) based primal-dual neural network (PDNN), i.e., a simplified LVI-PDNN, is then exploited to solve online the BCTM scheme. Computer-simulation results based on PUMA560 robot manipulator tracking different types of end-effector trajectories further verify the effectiveness and flexibility of the presented BCTM scheme. View full abstract»

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  • Analysis of complexity measure of air traffic flow at terminal area based on approximate entropy

    Publication Year: 2012 , Page(s): 1272 - 1277
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (905 KB) |  | HTML iconHTML  

    In order to quantitatively describe the complexity of air traffic flow system at terminal area, the model of nonlinear dynamics, approximate entropy was introduced. The approximate entropy of two actual time series of air traffic flow at terminal area was calculated. The results show that air traffic flow at terminal area can be applied to effectively measure the randomicity and nonlinearity of a system and resolve the difficult problems of short sequence and comparability in depicting the complexity of a system. They are suitable to measure the complexity of the actual air traffic flow. View full abstract»

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  • A novel sound localization design using arrayed integrate and fire neuron circuits

    Publication Year: 2012 , Page(s): 12 - 15
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1118 KB) |  | HTML iconHTML  

    A novel sound localization design using arrayed integrate and fire neuron circuits is discussed in this paper. This method is inspired from barn owl's unique method of locating prey. Unlike most of the existing techniques, it is computation free. System structure, experiment and simulation results, and analysis are described. A three-level hierarchical design is used to improve accuracy for a large amount without significant increase of area. View full abstract»

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  • Design of a adaptive decoupling control law of miniature duct fan UAV

    Publication Year: 2012 , Page(s): 746 - 751
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1211 KB) |  | HTML iconHTML  

    An adaptive decoupling control method for a miniature ducted-fan UAV is studied in this article. In order to make the UAV's outputs steadily follow established reference model in the condition of parameter perturbation and uncertain disturbance, an adaptive control method is designed based on the Model Reference Adaptive Control, which is built in order to control one of the fast state variables, the UAV's angular speed. In the meantime, a cascade feed forward decoupling control is designed for the known reference model, to make the fast state variable decouple synchronously along with the reference model, and then control the UAV's attitude and angular velocity. Simulation results show that the control law makes the UAV's attitude outputs steadily follow outputs of the reference model, the coupling interaction between control channels is eliminated, and the controller is not sensitive to parameter perturbation. The control system is strongly adaptive and robust. View full abstract»

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  • Modeling and simulation on memory by complex network and computer

    Publication Year: 2012 , Page(s): 695 - 702
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1001 KB) |  | HTML iconHTML  

    In order to identify and explore the structure and function of brain memory, we put forward new modeling and simulation methods on memory by computer system structure and functional operations with complex network. By the similarity and relation of computer system and memory from the structure and operation, we constructed the basic and complex bi-modular memory models and the changing algorithm from complex model to basic model where the polynomial time complexity retrieve algorithm was applied with tree as data structure, meanwhile the bi-modular memory models annotated the parallel and serial structure of computer system. The analytical results and bi-modular model application imply that modeling on brain functional memory from computer system is feasible. View full abstract»

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  • Path cost and assessment between cities from complex network

    Publication Year: 2012 , Page(s): 1153 - 1158
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (966 KB) |  | HTML iconHTML  

    In order to gain the optimized path selecting solution for the traveler and provide safety and efficient traffic management advices for the manager, we put forward the construction modeling algorithm to simulate the path traveling network and compute the index by complex network and path optimization algorithm theories. Based on the simulation results we give the references and advices for path cost and assessment in path selecting according to the network topology characters. The analytical results provide new supports to measure the path cost and assessment and the simulation implies that it is efficient and feasible for path selecting with complex network theory. View full abstract»

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  • Urban bus transport network optimization from complex network

    Publication Year: 2012 , Page(s): 1159 - 1164
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (979 KB) |  | HTML iconHTML  

    In order to improve the bus transport ability, increase the bus network robustness and reduce the cost on time and transfer number, we put complex system theory into the urban bus transport network optimization and demonstrated the bus line model, bus station model and bus transfer model by theoretical analysis and data simulation based on the complex network statistics characters analysis theory. The simulation and network statistics characters results provide efficient reference and advice on path optimization of the bus transport network, including the path selecting, exchange times and cost. The theory analytical results and experimental data results confirm that it is feasible to optimize the urban bus transport network with complex system theory. View full abstract»

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  • The 3-input Euler polynomial neuronet (3IEPN) with weights-and-structure-determination (WASD) algorithm

    Publication Year: 2012 , Page(s): 1165 - 1170
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (684 KB) |  | HTML iconHTML  

    Based on the function approximation theory and the Weierstrass approximation theorem, a novel 3-input Euler polynomial neuronet (3IEPN) is established in this paper to fit the 4-dimensional data (i.e., data in the form of 3 inputs and 1 output). In order to achieve satisfactory performance and efficacy of the 3IEPN, a weights-and-structure-determination (WASD) algorithm, which is based on the weights-direct-determination (WDD) method, is built up for the established 3IEPN. Numerical results further substantiate the superior performance of the proposed 3IEPN equipped with the WASD algorithm in terms of training, validation and prediction. View full abstract»

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  • Modeling and analyzing the main modes of an ultra-precision stage with lumped parameter method

    Publication Year: 2012 , Page(s): 16 - 21
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1288 KB) |  | HTML iconHTML  

    A lumped parameter model (LPM) is presented to model and analyze the main modes of an ultra-precision stage. The modes of actuator system, measuring system and their summation are discussed based on the analysis of the LPM. Since the measuring system is a coupled and nominal symmetric system, the influence of asymmetry in stiffness to the final visible frequency response functions (FRFs) is examined. Experiments in system identification and modal shape detection are conducted to validate the model. View full abstract»

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  • New results on ℒ2 −ℒ filter design for delayed stochastic systems by delay decomposition approach

    Publication Year: 2012 , Page(s): 22 - 28
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (692 KB) |  | HTML iconHTML  

    This paper investigates the new results on ℒ2−ℒ filter design for delayed stochastic systems by delay decomposition approach. Based on the Lyapunov functional method, sufficient condition are obtained to ensure the error systems are mean-square asymptotically stable. Then the ℒ2−ℒ filters are designed in terms of linear matrix inequalities (LMIs). In order to develop less conservative results, a new integral inequality is established in the stochastic setting. Because we have carefully considered the ranges for the time-varying delays, our criteria can be applicable to both fast and slow time-varying delays. Meanwhile, by dividing the time-varying delays into multiple nonuniformly subintervals and choosing an appropriate Lyapunov functional, new delay-dependent stability criteria are obtained and formulated in terms of LMIs which can be easily checked in practice. Finally, a example is given to illustrate the effectiveness and advantages of the proposed results. View full abstract»

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  • New method for initial orientation estimation in dynamic state using MEMS magnetometers and accelerometers

    Publication Year: 2012 , Page(s): 29 - 34
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1189 KB) |  | HTML iconHTML  

    This paper presents a new method to efficiently determine the initial orientation of a Small Aerial Vehicle (SAV), using a combination of inexpensive sensors (three magnetometers and three accelerometers). The feature of this method is that the whole process is accomplished in a dynamic state and there is no need for calibration information. To complete the task, a motion model is added into calculation, to describe the regularity of the motion and provide variations of both the direction of magnetic field and the body's acceleration. And advanced Gauss-Newton iteration algorithm is also employed to find out the best results. Finally, the method is tested through simulation on computer. In such a case an SAV is moving in damped pendulum. Furthermore, the precision of results could be enough to initialize some special navigation systems of SAVs. View full abstract»

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  • Research on ECP3 Mobile-Payment

    Publication Year: 2012 , Page(s): 703 - 707
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (966 KB) |  | HTML iconHTML  

    With the development of Mobile-Commerce, mobile-payment turns up. However, compared with the m-commerce in China, mobile-payment is too weak to meet the needs. This paper comes up with the ECP3 Mobile-Payment Solution (Elliptic Curve based Proxy Payment Protocol), which is a proxy payment solution based on the Elliptic Curve Cryptography. Taking less memory and bandwidth makes ECP3 quite suit for mobile devices. When a customer requests a payment, the payment-chain starts. All the payment work will transfer to the MNO (Mobile Network Operator) to through the payment-chain. Then MNO checks both customer's and the Application Service Provider's identity. After that, MNO sends the payment info to customer for confirming. ECP3 is of security and efficiency, which can satisfy the M-Commerce's distant payment requirement. View full abstract»

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  • Optimal ascent guidance based on direct optimization method

    Publication Year: 2012 , Page(s): 1109 - 1114
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (911 KB) |  | HTML iconHTML  

    In this paper, an optimal guidance algorithm is proposed for atmospheric ascent. The optimal guidance algorithm updates the reference trajectory to deal with the impact of disturbance by solving an optimal control problem on-board. For the strong nonlinear ascent dynamic, the optimal control problem is transformed into nonlinear programming problem by trajectory discretization. The direct optimization method is implemented for this nonlinear programming problem. Only a segment of the reference trajectory is updated by the optimal guidance algorithm. Due to the small amount of the discrete nodes and the initial guess solution which is close to the optimization solution, the direct optimization method is fast enough to generate a new reference trajectory. Numerical simulation for the Generic Hypersonic Vehicle model and scramjet engine is done for different cases of the aerodynamic coefficient bias. The results show the accuracy and the effectiveness of this optimal guidance algorithm. View full abstract»

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  • Numerical investigation of resistance characteristic for submunition with hat shape fin

    Publication Year: 2012 , Page(s): 35 - 40
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1025 KB) |  | HTML iconHTML  

    This paper proposes a distinguishing design plan—submunition with hat shape fin, aiming to investigate its retardation effect. Based on the aerodynamic model established under environment of ICEM CFD, the resistance coefficient for subsonic fall of the submunition is calculated by computer, then the trajectory equations are calculated, the results indicate that hat shape fin can effectively slow the falling speed of smart submunition after being dispersed forward. View full abstract»

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  • Optimization control method with system condition online monitor for cleaning process

    Publication Year: 2012 , Page(s): 883 - 888
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1003 KB) |  | HTML iconHTML  

    The cleaning process is an important step in sugar refinery and features strong nonlinearity, a long sampling time to obtain quality data, multiple constraints imposed by practical requirements, its control goal is to acquire high density products. This paper presented an intelligent optimization control method, using improved back-propagation neural networks modeling of quality prediction and system condition online monitor, optimization be realized by c-means clustering, genetic and chaos approaches. The control system is implemented by DCS. The results of actual runs demonstrate the validity of the method. View full abstract»

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  • Analysis on the technical improving method of cluster munitions based on multi-dimensional principle decision-making

    Publication Year: 2012 , Page(s): 41 - 45
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1247 KB) |  | HTML iconHTML  

    In order to explore the solving method of unexploded cluster munitions, the improved method of cluster munitions has been analysed, and three kinds of utility function of improved method have been established based on multi-dimension principles decision-making method. Also, the weight of all the principles have been determined, sensitivity of all the plans have been analyzed. Results show that self-destruction, self-neutralisation and self-deactivating are the best improving method in fuze technology at present stage. View full abstract»

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