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Control and Decision Conference (CCDC), 2011 Chinese

Date 23-25 May 2011

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Displaying Results 1 - 25 of 860
  • [Front matter]

    Page(s): i - xxviii
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    Freely Available from IEEE
  • Convergence accelerated by the improvements of stepsize and gradient in SPSA

    Page(s): 1 - 6
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (250 KB) |  | HTML iconHTML  

    The simultaneous perturbation stochastic approximation (SPSA) is effective for the optimization problem of complex system which is difficult or impossible to directly obtain the gradient of the objective function except the measurements of objective function. SPSA relies on measurements of the objective function to estimate the gradient efficiently. In order to accelerate the convergence of SPSA, many improvements are proposed. The typical improvement is that the Newton-Raphson gradient approximation approach replaces first order gradient approximation of standard SPSA. Although the second order SPSA (2SPSA) algorithm solves the optimization problem successfully by efficient gradient approximation, the accuracy of the algorithm depends on the matrix conditioning of the objective function Hessian. In order to eliminate the influence caused by the objective function Hessian, this paper uses nonlinear conjugate gradient method to decide the search direction of the objective function. By synthesizing different nonlinear conjugate gradient methods, it ensures each search direction to be descensive. Besides the search direction improvement, this paper also improves the stepsize calculation method of SPSA. It calculates suitable stepsize based on the current and former gradient information. With the descensive search direction and appropriate stepsize, the improved SPSA converges faster than the 2SPSA. Through applying to reinforcement learning, the virtues of the improved SPSA are validated. View full abstract»

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  • A robust adaptive hybrid genetic simulated annealing algorithm for the global optimization of multimodal functions

    Page(s): 7 - 12
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    In this paper we presented a novel hybrid genetic algorithm for solving NLP problems based on combining the Genetic algorithm and Simulated annealing, together with a local search strategy. The proposed hybrid approach combines the merits of genetic algorithm (GA) with simulated annealing (SA) to construct a more efficient genetic simulated annealing (GSA) algorithm for global search, which could well maintain the population diversity in GA evolution without becoming easily trapped in local optimum. The iterative hill climbing (IHC) method as a local search technique is incorporated into GSA loop to speed up the convergence of the algorithm. In addition, a self-adaptive hybrid mechanism is developed to maintain a tradeoff between the global and local optimizer searching then to efficiently locate quality solution to complex optimization problem. The computational results indicate that the global searching ability and the convergence speed of this hybrid algorithm are significantly improved. Some well-known benchmark functions are utilized to test the applicability of the proposed algorithm. View full abstract»

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  • Effect of pole-placement on precision of video target predicative tracking using enhanced full state observer

    Page(s): 13 - 18
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (425 KB) |  | HTML iconHTML  

    In control theory, a state observer is employed to estimate the internal states of the given process. In this paper, a full state observer is engineered to perform predictive video target tracking enhanced with a lowpass filter designed to achieve better tracking quality. The impact of pole placement in the observer is analyzed and the optimal pole values are identified for this particular research. The tests are conducted on two sets of given video sequences, in which a jumping ball and a randomly moving target is respectively appear. The results suggest that the proposed approach boasts technical merits such as low computational complexity, good tracking robustness for highly mobile moving targets, and system noise worry-free. View full abstract»

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  • Design of cloud model controller based on multi-objective optimization

    Page(s): 19 - 24
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (229 KB) |  | HTML iconHTML  

    In order to solve the problem that the parameters of cloud model are difficult to get and the weight of performance index is difficult to obtain when adopt single objective optimization algorithm. A new design of cloud model controller based on multi-objective optimization is proposed. In the first stage, set the system overshoot, settling time, and ITAE index as the optimization objectives, then a fast non-dominating sorting genetic algorithm II (NSGA-II) is employed to optimize its output parameters kup, kui, kud and characteristic parameters Ex, En, He. In the subsequent stage, the decision-maker can choose the satisfactory solution from the Pareto optimal solution set according to actual needs. The validity and superiority of the proposed method are supported by simulation results. View full abstract»

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  • License plate character segmentation from video images: A survey

    Page(s): 25 - 30
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    License plate character segmentation is a crucial process of license plate recognition. During the process of image acquisition, because of light condition and the change of shooting distance and the diversity of the plate's format, the task become very challenging. Therefore, many algorithms are proposed under certain conditions, such as a fixed shooting distance or no illumination change. The purpose of this paper is to classify and assess the technique which has been developed for license plate character segmentation. Execution time, accuracy of segmentation, the robustness of algorithm will be reported. At last, the technique based on the connected component correction is proposed in the thesis. The result manifests that the accuracy of character segmentation could reach 84.4%. View full abstract»

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  • Pulse Doppler radar based on adaptive genetic algorithm

    Page(s): 31 - 34
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    The adaptive genetic algorithm (AGA) designed as a general optimization method was applied to the ambiguity resolution of pulse Doppler (PD) radar. The fitness, based on squared error for multi-PRF (pulse repeat frequency) consecutive ordered ranges, was designed. The crossover operator and the conditions of ending in GA were discussed. The relations among the probability of ambiguity resolution of this algorithm, the measurement error and the computational efficiency were analyzed. Simulation results show the GA ambiguity resolution algorithm does better than the sliding window algorithm on the probability of ambiguity resolution. View full abstract»

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  • Conditional games: A framework for coordination

    Page(s): 35 - 40
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    Game theory is often proposed as a framework within which to model coordination. Neoclassical game theory, however, focuses exclusively on individual preferences, whereas coordination requires a concept of group preference as well as individual preferences. Conditional game theory differs from classical theory in two fundamental ways. First, it involves a utility structure that permits agents to define their preferences conditioned on the preferences of other agents, and second, it accommodates a notion of group rationality as well as individual rationality. The resulting framework permits a notion of group preferences to be defined, and leads to the development of a metric to characterize the intrinsic ability of the members of a group to coordinate. View full abstract»

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  • A semi-supervised k-nearest neighbor algorithm based on data editing

    Page(s): 41 - 45
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    YATSI may suffer more from the common problem in semi-supervised learning, i.e. the performance is badly influenced due to the unlabeled examples may often be wrongly labeled. In this paper a semi-supervised k-nearest neighbor classifier named De-YATSI (YATSI with Data Editing) is proposed. A data editing based on estimating class conditional probability is used to identify and discard mislabeled examples of the pre-labeled data set. A k-nearest neighbor classifier with weights is trained by the labeled data set and the edited “pre-labeled” data set. Experiments on UCI datasets show that DE-YATSI could more effectively and stably utilize the unlabeled examples to improve classification accuracy than YATSI. View full abstract»

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  • Game analysis of financial supervision in international financial crisis

    Page(s): 46 - 50
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    An universal and comprehensive complete information static game model between market participants and supervisors and analyze the factors that stimulate irregularities and the inhibitory effect of irregularities based on the idea of game theory. According to the game analysis, we propose some effective standards and recommendations for both participants and supervisors to resolve financial risks, including save supervision cost, improve the efficiency of financial supervision, establish incentive and restraint mechanisms for both participants and supervisors in order to make full use of the learning mechanisms and demonstration effect. View full abstract»

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  • Study on fusion tracking algorithm of fire calculation for MMW/Tv combined guidance UCAV based on IMM-PF

    Page(s): 51 - 54
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (229 KB) |  | HTML iconHTML  

    To consider disaccord between white Gaussian noise made by measurement noise and long-tail flicker noise measured in practice when target fusion tracking algorithm of multiple sensor calculates the data, a fusion tracking algorithm of fire solution for MMW/Tv combined guidance UCAV based on IMM-PF was presented. The algorithm can be used to multiple sensor information fusion tracking under nonlinear and non-Guassian circumstance. Also, it can be used to track mobile target through transforming the model to match the target mobile model under the interference of flicker noise. The digital simulation results show that the algorithm has better self-adaptation to mobile target and it is important to improve attack effect of MMW/Tv combined guidance UCAV. View full abstract»

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  • The influence between two players in game with graph restricted communication and a priori unions

    Page(s): 55 - 59
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    Based on game with graph restricted communication and a priori unions proposed by Alonso-Meijide, in this paper, the interaction indexes between two players in the same coalition and in different coalition are established respectively. The influence to the indexes are researched when a new link form, some relative conclusions are drawn. View full abstract»

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  • Solving capacitated vehicle routing problem based on improved genetic algorithm

    Page(s): 60 - 64
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (201 KB) |  | HTML iconHTML  

    Aiming at the capacitated vehicle routing problem (CVRP) in the matter stream delivery field, an improved genetic algorithm (GA) based on local mutation operator is adopted. Two layers chromosome coding scheme is designed which can improve initial solutions. This coding method can insure that the sub-routing is effective to satiety the vehicle capacitated constraints. These improved measures have important significance to depress procedural intricacy degree, advance convergence of algorithm velocity and algorithmic local search ability. The simulation experiment results show the improved genetic algorithm compared with BGA can achieve better optimization results and has better efficiency to solve CVRP. View full abstract»

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  • Design of fault tolerant wireless networked control systems

    Page(s): 65 - 68
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (301 KB) |  | HTML iconHTML  

    In this paper the design of fault tolerant wireless networked control systems (WNCS) is addressed. The considered architecture of WNCS consists of a local execution layer, a supervision layer and a resource management layer, which are connected with wireless communication channels. Such an architecture is often used in industrial applications. An approach of integrated design of those layers as well as the communication channel, is proposed. The major objective is to improve system robustness against system and network disturbances (packet loss, bit error), and tolerance to equipment and network faults. A communication protocol is also designed to meet those requirements. View full abstract»

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  • Weibull distribution parameters for fault feature extraction of rolling bearing

    Page(s): 69 - 74
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (776 KB) |  | HTML iconHTML  

    A novel approach to fault feature extraction using Weibull distribution parameters is proposed. After the original signal of bearing vibration is modeled as the Weibull distribution, its scale parameter is extracted as a new feature vector for the bearing running state. The tests results of fault diagnosis of the rolling bearing verify that this new feature can catch the regularity of changes in the information of bearing vibration more sensitively and accurately, and have higher separability suitable for pattern recognition by support vector machine classifier. View full abstract»

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  • Hidden Markovian Chain based occurrence time prediction for GSM-R down fault

    Page(s): 75 - 80
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (256 KB) |  | HTML iconHTML  

    GSM for Railways (GSM-R) is a wireless mobile network used for train-ground communication. Down is one of the main faults in the routine of train running. It is a procedure inherently composed of several degradation levels, which was formulated as a Hidden Markovian Chain (HMC). In the framework of HMC, a scheme based on viterbi algorithm and absorption probability was proposed to predict occurrence time of GSM-R down fault. Distinguished to its static version, there was a correction mechanism based on current GSM-R quality, which modified the prediction dynamically. The effectiveness of the scheme was testified by simulations, revealing that it possesses more accuracy than its static version and the deflection is restrained in a rational level. View full abstract»

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  • On mode discernibility and switching detectability for linear switching systems using a data-based projection method

    Page(s): 81 - 86
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (424 KB) |  | HTML iconHTML  

    This paper addresses the problem of Fault Detection and Isolation (FDI) of switching systems where faulty behaviours are represented as faulty modes. The objectives of the on-line FDI are to identify accurately the current mode and to estimate precisely the switching time. A data-based method is considered here to generate residuals that will be used for FDI. The discernibility condition between modes is established. It is claimed in the literature that discernibility conditions are necessary for switching detection. However, it is shown in this paper that the switching may be detected with the proposed residuals even if the modes are not discernible. Detectability conditions between modes are established and are shown to be different from discernibility ones. A simulation example is provided to illustrate this important result. View full abstract»

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  • A new method of fault location for 35KV distribution network based on the equivalent load to ground

    Page(s): 87 - 91
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (224 KB) |  | HTML iconHTML  

    It installed the monitoring devices with a certain distance in the 35 KV line to determine accurately the fault location in this paper, the load units were grounded with taking into account the actual operating conditions of load by the ATP simulation. It found that the transient power waveforms of healthy section were very similar in the same side of fault point by the simulation, while the similarity of fault section was poor in the both sides of fault point. So the correlation coefficient was introduced to evaluate the relationship, when the similarity is high, the value of correlation coefficient is larger, on the contrary, the value of correlation coefficient is smaller when the similarity is low. Therefore, it can compare the value calculated with the threshold value preset of main station to determine accurately the fault location. The principle of this method is simple, and the data uploaded is small, so it is convenient to determine quickly the fault location. View full abstract»

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  • Fault-tolerant tracking control of FW-steering autonomous vehicles

    Page(s): 92 - 97
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (274 KB) |  | HTML iconHTML  

    This paper studies the path tracking control of four-wheel steering autonomous vehicles. A robust and adaptive fault-tolerant tracking control strategy is proposed to simultaneously counteract modeling uncertainties, unexpected disturbances, coupling effects, as well as actuator failures. By exploiting a state transformation, together with the introduction of virtual points in the longitudinal centerline of the vehicle, a special feature of the control gain matrix is revealed, which allows for the development of structurally simple and computationally inexpensive robust and adaptive control algorithms. The closed-loop stability issues of the control scheme are analyzed using a Lyapunov-based method. A complex nonlinear dynamic model of a passenger vehicle is developed to simulate the dynamic motion performance and for controller design. The controller is tested and verified via computer simulations in the presence of parametric uncertainties and severe driving conditions. View full abstract»

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  • Observer-based sliding mode control for a class of nonlinear time-delayed systems

    Page(s): 98 - 102
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (235 KB) |  | HTML iconHTML  

    The sliding mode control scheme is proposed for a class of nonlinear time-delayed systems by using a novel disturbance observer. The lumped nonlinear disturbances are first estimated by using the current system states. Then the disturbance observe-based sliding mode controller is designed to guarantee the asymptotical stability of the closed-loop system. The prominent advantage of the proposed scheme is that the linear boundary condition for the uncertainties are removed, thus largely reducing the switching gain. The simulation results illustrate the obtained results. View full abstract»

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  • Fractional order compensator of slide mode for delay control system with uncertain parameters

    Page(s): 103 - 106
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    Based on the theory of fractional order differential equation, a fractional order integral compensator of slide mode control(SMC) with its design method are presented for control of time delay system. The specify memory characteristic of fractional calculus is used to improve the dynamic performance for SMC. A simulation example is given and its results show the new kind of compensator has the effect on relaxing of the chattering problem. View full abstract»

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  • A quasi-sliding mode variable structure control algorithm for discrete-time and time-delay systems

    Page(s): 107 - 110
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (177 KB) |  | HTML iconHTML  

    Quasi-sliding mode variable structure control strategy takes its own advantages in solving discrete-time and time-delay systems' problems. This paper proposed a kind of quasi-sliding mode control algorithm based on the Smith Predictor. The simulation results showed: the proposed control method greatly compensates time-delay and the control strategy could be simply and easily realized. On the premise of ensuring the stability of the second order closed-loop system, this algorithm helped systems gain good robustness against parameter perturbation and external disturbance. View full abstract»

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  • Decentralized variable structure control research of ship course/roll

    Page(s): 111 - 115
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    The ship course / roll system is a nonlinear and strongly coupled system. Based on the parameter uncertainty of the ship course / roll coupled model, a decentralized variable structure control algorithm is adopted. The interconnection matrices are regarded as the parameter matrix of the nominal system under the known condition of the interconnection terms. The global asymptotic stability of the decentralized variable structure control algorithm is achieved. The simulation results show that, the proposed control method can control the ship yaw and roll very efficiently with high accuracy, conciseness and would be easy to be realized. View full abstract»

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  • Robust decentralized sliding mode control for uncertain stochastic systems with time delays

    Page(s): 116 - 121
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (282 KB) |  | HTML iconHTML  

    This paper is concerned with the problem of robust stabilization for uncertain stochastic delay systems with interconnections via decentralized sliding mode control. Some less restrictive sufficient conditions for the existence of decentralized sliding surfaces are given in terms of linear matrix inequalities, by which the decentralized sliding mode controllers ensuring the reachability of the specified decentralized sliding surfaces are designed. A numerical example is included to verify the validity of the developed controller. View full abstract»

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  • Enhanced sliding-mode control for permanent magnet synchronous motor servo drive

    Page(s): 122 - 126
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    A scheme for the speed control of permanent-magnet synchronous motor (PMSM), based on enhanced sliding-mode control (ESMC) algorithm, is proposed in this paper. The model of the PMSM based on field-oriented is given firstly. Then, the selection of proportional-plus-integral sliding surface (PISS) and a design approach of control law according to Lyapunov stability theory are discussed in detail. Meanwhile, in order to decrease the chatter, sliding mode control law is introduced a boundary layer near the sliding surface. Some simulation experiments have been made for examining the effectiveness of the proposed scheme. And the simulation results show that the method proposed in this paper represents accurate tracking and robust performance under the existence of uncertainties and external load disturbance. View full abstract»

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