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Control Conference (CCC), 2011 30th Chinese

Date 22-24 July 2011

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Displaying Results 1 - 25 of 1276
  • Variational approach to second-order impulsive partial differential equations with periodic boundary value problems

    Page(s): 821 - 825
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (120 KB) |  | HTML iconHTML  

    By using the critical point theory of variational method and Lax-Milgram theorem, we obtain the new results for the existence of the solution of the second-order impulsive partial differential equations with periodic boundary value problems. View full abstract»

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  • Asymptotic behavior for nonlinear delay differential equations with impulses

    Page(s): 235 - 238
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    In this paper, we study the asymptotic behavior of solutions for the nonlinear single delay differential equation with impulse. Our results improve and generalize some known ones. View full abstract»

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  • On preprocessing technology for downlink MIMO system

    Page(s): 4361 - 4364
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (368 KB) |  | HTML iconHTML  

    In order to improve the efficiency on the multi-user wireless spectrum and achieve the communication at the same base station, a novel preprocessing technology is proposed for the downlink MIMO system in this paper. Firstly, based on the theory of the equivalent channel energy, by calculating Frobenius norm on the channel energy from all the users, the receiving antennas with the maximum energy are perfectly selected, which can effectively reduce the computational complexity. After they are confirmed, using dual QR decompositions achieve the precoding matrix, which can eliminate the common channel interference largely. Afterwards, the system simulation and the results analysis demonstrate the efficiency and the reliability of this preprocessing technology that can improve the overall performance of MIMO system. View full abstract»

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  • On identity authentication technology of distance education system based on voiceprint recognition

    Page(s): 5718 - 5721
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (384 KB) |  | HTML iconHTML  

    In order to improve the efficiency of the identity authentication of the distance education system, the existing authentication technology of the system is perfected. In this paper, the voiceprint recognition method based on HMM/ANN hybrid model is presented, and the novel identity authentication interfaces are developed by VC. During the analysis of the voiceprint recognition technology, the operation principle and the design process of the distance education system are described in detail. Through system simulation and a mass of the experiments, the identity authentication technology of the distance education system based on the voiceprint recognition has higher identity recognition rate with feasibility. View full abstract»

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  • On granular representation based on features

    Page(s): 42 - 46
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (209 KB)  

    In order to provide the granule unification representation of Granular Computing, the paper discussed the basic meaning, descriptions and the relations between the features of the granule, analyzed the four basic elements of the granule: the objects, the features, the relationships, and the states, presented four-tuples formal representation based on data levels, that is the object set, feature set, relationship sets and constraints set. Then the representation of several special granules are presented, and it shows the unity of the representation, gives a specific examples to study. The formal representation has important significance in methodology to solve well the granule representation based on data levels, and to be conductive to problem solving and granular computing theory studying. View full abstract»

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  • On adaptive image denoising algorithm based on grey degree of incidence

    Page(s): 2970 - 2974
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (4062 KB)  

    A new method of the noise detection and a kind of adaptive weighted filter, based on the grey degree of incidence and the mean image or the median image, are proposed in this paper. At first, the grey coefficients of incidence matrix are calculated between the noise image and the mean image and the noise spots are distinguished according to the relations between the grey coefficients of incidence matrix and the threshold value TH. Moreover, taking the noise spot as the center, calculates the grey coefficients of incidence between the noise image and the mean image or the median image on 3×3 the template. Then, the values of the noise spot can be calculated according to the weighted mean value of the grey coefficients of incidence and the mean image or the median image, and realizes the adaptive weighting filter. Finally, the simulation testing has been carried on under the different noise level, and the denoising effect has been evaluated by using the signal-to-noise ratio, Peak Signal to Noise Ratio and the mean error objectively. The result shows that the proposed method may reduce the image fuzziness, preserve the integrity of edge and detail information, and has the good denoising effect. View full abstract»

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  • Passivity analysis of complex dynamical networks with general topology

    Page(s): 47 - 52
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (126 KB) |  | HTML iconHTML  

    The problem of passivity analysis is investigated for a generalized complex dynamical network with time-varying delays in this paper. Several passivity criteria are derived in form of linear matrix inequalities (LMI) for complex networks by constructing some suitable Lyapunov functionals. Finally, a numerical example is given which illustrate the efficiency of the derived results. View full abstract»

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  • Calculation of BSRM's inductance with PSO-BPNN

    Page(s): 1424 - 1427
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (374 KB) |  | HTML iconHTML  

    Inductance characteristic has a great effect on bearingless switched reluctance motor (BSRM) control which is difficult to solve accurately. Particle swarm optimization (PSO) is used in back propagation neural network (BPNN) inductance model. When the BPNN is trained with sufficient samples, PSO is applied to optimize weights of BPNN. Building the PSO-BPNN model of inductance and evaluating performances of the proposed model by error compute. The results demonstrate that PSO-BPNN inductance models perform satisfactory forecast accuracy and convergent speed. View full abstract»

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  • T-S fuzzy stochastic bilinear model and fuzzy controller design based on switching piecewise Lyapunov functions

    Page(s): 2825 - 2829
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (125 KB) |  | HTML iconHTML  

    Based on a piecewise quadratic Lyapunov function (PQLF), this paper presents stochastic stability analysis and synthesis methods for the discrete time T-S fuzzy bilinear stochastic systems. Two improved stochastic stability conditions have been established. It is shown that the stability in the mean square for T-S fuzzy bilinear stochastic systems can be established if a PQLF can be constructed. Considering the established stability criterion, the controller can be designed, and the closed loop system is asymptotically stable in the mean square sense. An illustrative example is provided to demonstrate the effectiveness of the results proposed in this paper. View full abstract»

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  • Effect of treatment measures on the epidemic dynamics in small-world networks

    Page(s): 826 - 831
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (195 KB) |  | HTML iconHTML  

    A nonlinear epidemic model in small-world networks with time-delay is presented to investigate the effect of treatment strength on the epidemic dynamics. Hopf bifurcation is proved to exist during disease spreading. The existence of chaos in a difference epidemic model is also investigated. It is shown that the treatment strength not only determines the stability of the local equilibrium, but also can be applied to stabilize a periodic spreading behavior or a chaotic spreading behavior onto a stable equilibrium. Furthermore, numerical simulations are also provided to illustrate the effectiveness of the theoretical results. View full abstract»

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  • Analyzing the chaotic behavior of an ACO based artificial stock market

    Page(s): 5358 - 5362
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (128 KB) |  | HTML iconHTML  

    An evolution model based on the ant colony optimization algorithm for investment behavior in the stock market is formulated. The largest Lyapunov exponents of the stock price time series created from the model are calculated. The simulation results show that this model can not only create stock price trends rather similar to the real stock market, but also show the chaotic behavior like the real stock market. We observed that the more speculators among the investors the bigger the largest Lyapunov exponent and the stronger the chaotic behavior in stock markets. View full abstract»

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  • Progress on investigating immune computation

    Page(s): 5363 - 5367
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (209 KB)  

    Immune computation is a burgeoning computing mechanism that is inspired from some mechanisms of natural immune system, and it can be used in computer systems and control systems. To investigate immune computation, the artificial immune system and the immune algorithm were defined. Two ideas for designing the immune algorithms were proposed, and the ideas included the method for simulating white boxes and the method for simulating black boxes. The designs of the immune algorithms were compared and analyzed. Some applications for the immune algorithms were introduced, and the applications included optimization of solution, anti-virus, fault diagnosis, robust control, intelligent network, intrusion prevention, fault tolerance, pattern matching, classification and decision etc. Two bottleneck problems for investigating the immune algorithms were analyzed and some crucial issues for investigating immune algorithms in future were proposed. The subset relations between the artificial immune system and artificial intelligence were analyzed, and the status of the artificial immune system among the computation intelligence was discussed. View full abstract»

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  • Control for the traveling wave solution to the Degasperis-Procesi equation

    Page(s): 963 - 967
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (122 KB) |  | HTML iconHTML  

    The differential geometry method is used to study the control problem of the traveling wave solution to the Degasperis-Procesi equation. Based on the differential geometry structure, General Hamiltionian Realization (GHR) is used to derive the strictly dissipative feedback controller of the controlled system. Numerical simulations confirm the results obtained. View full abstract»

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  • Bilinear control for the parabolic-elliptic system

    Page(s): 968 - 971
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (183 KB)  

    In the present paper we study the global approximate controllability of the parabolic-elliptic system, which has caught a great deal of attention,governed in a bounded interval by a pair of controls: (i)the traditional internal either locally distributed or lumped control and (ii) the lumped control entering the system as a time-dependent coefficient. The motivation for the latter is due to the well-known lack of global null-controllability properties for the class of systems governed by the parabolic partial differential equations when they are only steered by the former controls. However, only approximate controllability can be obtained because of the nonlinearity of the parabolic-elliptic system. Our approach involves an asymptotic technique allowing us to separate and combine the impacts generated by the above-mentioned two types of controls. View full abstract»

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  • A novel soft-switching communication power converter

    Page(s): 1832 - 1834
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (155 KB) |  | HTML iconHTML  

    A novel soft-switching power converter with high power factor is presented in this paper, discussed power factor corrector topology and dc/dc converter with passive lossless soft-switching based on a ML4803 IC control. DC/DC converter is adopted a novel two-transistor forward soft-switching technique, which realizes zero-voltage turn-on and turn-off, with no additional switches. A 48V/10A communication power supply module is developed in this paper. It has the characteristics of rapid dynamic response, high power factor, high efficiency and small bulk ect. View full abstract»

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  • A novel induction motor with fuzzy sliding-mode control

    Page(s): 1835 - 1838
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (139 KB) |  | HTML iconHTML  

    A novel fuzzy sliding-mode structure has been proposed for the model reference adaptive system(MRAS) based sensorless control of an induction motor in this paper. The design includes a hybrid MRAS from measured stator terminal voltages and currents. The estimated speed is used as feedback in an indirect vector control system achieving the speed control without using shaft mounted transducers. Fuzzy sliding-mode structure includes two nonlinear controllers, one of which is sliding mode type and the other is PI-fuzzy logic based controller, The latter define a new control structure. Both controllers are combined by means of an expert system based on Takagi-Sugeno fuzzy reasoning. The sliding mode controller acts in the steady state. The new structure has two advantages: sliding-mode controller increasing system stability and PI-like fuzzy logic based controller reducing the chattering in permanent state. The scheme has been implemented and experimentally validated. View full abstract»

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  • Adaptive integral sliding mode compensation control for a class of uncertain switched nonlinear systems

    Page(s): 2400 - 2403
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (91 KB) |  | HTML iconHTML  

    This work presents an adaptive integral sliding mode compensation control scheme for a class of switched nonlinear systems with uncertainties and external disturbances. Adaptive updated law is based on switched Lyapunov function approach, and a periodically switching signal which is suit for practical implementation is constructed. With the proposed control scheme, it's proved that the resulting closed-loop switched system is asymptotically Lyapunov stable such that the sliding surface of the control system is well reached. Simulation studies have shown that the proposed controller shows satisfactory control performance. View full abstract»

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  • Fuzzy singularly perturbed model and stability analysis of bilateral teleoperation system

    Page(s): 3664 - 3668
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (113 KB) |  | HTML iconHTML  

    The bilateral teleoperation system is the system with time delay and force reflection. On-orbit services is a important application of bilateral teleoperation. It stabilization problem must overcome the bilateral time delay in presence of state and control input. This paper propose a novel stabilization control method based on fuzzy singularly perturbed model of bilateral teleoperation. Firstly, system equations are transformed into state space expression of errors dynamic and built the singularly perturbed model of bilateral teleoperation. Secondly, several linearity matrix inequations (LMI) called stabilization theorem are constructed, then, fuzzy state feedback controller are designed. Finally, Lyaponov function method is used to prove the stabilization theorem. Experimental results show that our approach is valid and has encouraging stabilization performance. View full abstract»

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  • Research on the steering model under emergency

    Page(s): 5494 - 5496
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (245 KB) |  | HTML iconHTML  

    It is of important practical significance for the drivers under emergency to make accurate judgment and operation in time. In this paper, Freecod data collection system, dynamic GPS are used in the research of driver's braking operation under emergency in the Transportation Communication Trial Field. In the first place, the relationship between steering velocity and the distance from obstructions, as well as car speed, has been analyzed; in the second place, the model of the relationship has been established; at last, the model has been validated whose result means a lot for the management of the driver's safety and traffic safety. View full abstract»

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  • Vehicle management system based on multi-node RFID cards

    Page(s): 5497 - 5499
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (354 KB) |  | HTML iconHTML  

    The radio frequency identification (RFID) technology is a kind of advanced automatic identification technology, and is more and more widely used in the fields of transportation and logistics. Vehicle management system was established, which has Microsoft Visual Basic 6.0 as development platform and SQL Server 2000 database as its background database. Four functions have been realized in this management system, such as system personnel management, vehicles management, vehicle information management, and freights information registration and inquiry. The distribution of system personnel authority and the registration and inquiry of the in-and-out vehicles & cargo information have been achieved in this management system, thereby enhanced the efficiency of the current vehicles and security, and promoted a more effective flow of goods. View full abstract»

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  • Guaranteed cost control for nonlinear networked control systems with long time-delay

    Page(s): 4516 - 4520
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (221 KB)  

    This paper considers the guaranteed cost control problem for uncertain nonlinear networked control systems with long time-delay. Firstly, the networked control system model with random long time-delay is transformed into a discrete-time system model with uncertain parameters. Then, the Lyapunov stability theory and the LMI approach are applied to design a guaranteed cost control law, which results in the closed-loop system is asymptotically stable and the system's performance index less than a determinate super bound. At the same time, the existence conditions and the design approach of guaranteed cost control law are presented. Finally, simulation results show that the method is effective. View full abstract»

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  • Single neuron ADRC control based on RBF neural network on-line identification

    Page(s): 3669 - 3672
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (229 KB)  

    Arming at the problem of over many parameters to be turned in the active disturbance rejection controller (ADRC), a self-adaptive single neuron Active Disturbance Rejection Control (ADRC) is proposed based on RBF neural network on-line identification, which identifies the Jacobian matrix of controlled object by means of RBF neural network identifier and acquires on-line tuning information of ADRC parameters. The self-tuning of the controller parameters is implemented by the single neuron controller, and the intelligent control of the system is achieved. The simulation result indicates that the proposed control system greatly reduces the adjusted parameter and possesses the advantages of high precision, great adaptability and robustness. View full abstract»

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  • Energy decay of solutions for a viscoelastic wave equation with weak nonlinear dissipation

    Page(s): 972 - 975
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (108 KB) |  | HTML iconHTML  

    In this paper, we study decay properties of the solutions for a viscoelastic wave equation with weak nonlinear dissipative term and source term, where dissipative term is time-dependent. The method we used are perturbed energy method and a weighted integral inequality. View full abstract»

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  • Decentralized attitude cooperative regulation of spacecraft formation without angular velocity feedback

    Page(s): 239 - 244
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (150 KB) |  | HTML iconHTML  

    This paper treats the decentralized cooperative attitude regulation problem without angular-velocity feedback for spacecraft formation flying. The nonlinear attitude dynamic and kinematic equations are considered for the case that the relative quaternion and angular velocity are employed such that the dynamics of formation agents are strongly coupled. More specifically, the controller structure includes a lead filter which is derived without explicit differentiation of attitude to synthesize angular velocity-like signals. And the stability of such a formation is also investigated by the development of a novel Lyapunov function candidate containing cross/mixed terms. Considering the affect of external disturbance, a modified controller is developed to confer the closed-loop system the capability of L2-gain disturbance attenuation. A sufficient condition is provided under which this controller could render the system uniformly ultimately bounded stable. As such, the closed-loop system is robust with respect to any disturbance within a quantifiable restriction on the amplitude. Numerical examples are presented to demonstrate the efficacy of the proposed controllers to maintain the relative attitude cooperation by correcting for initial offsets and external perturbation effects that tend to disperse the formation. View full abstract»

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  • Diagnose model of Parkinson's disease based on principal component analysis and Sugeno integral

    Page(s): 2830 - 2834
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (92 KB) |  | HTML iconHTML  

    This paper will use principal component analysis and Sugeno integral to structure the model of diagnose Parkinson's disease. The appropriate value of Sugeno measure is vital to a diagnostic model. The method of using principal component analysis to obtain the sugeno measure is put forward. In this diagnostic model, there are two key factors. One is goodness of fit that the degrees of evidential support for attribute. The other is the importance of attribute itself. The instances of Parkinson's disease illuminate that the method is effective. View full abstract»

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