The plasma shape control plays an important role in Tokamak operation. With the purpose of improving the control capacity and performance, as well as system efficiency, we start the development of system identificatio...
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The plasma shape control plays an important role in Tokamak operation. With the purpose of improving the control capacity and performance, as well as system efficiency, we start the development of system identification on EAST (Experimental Advanced Superconducting Tokamak). On the basis of ISOFLUX principle employed on EAST, we attempt to build up a control-oriented model. By comparison, we adapt PEM (Prediction-Error-Methods). The corresponding procedure and result are presented.
This paper mainly provides and develops a new continuous-discrete PSO algorithm for handling with the optimal formation problem in the three dimensional space. For one class of formation problem with the particular co...
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ISBN:
(纸本)9781479937097
This paper mainly provides and develops a new continuous-discrete PSO algorithm for handling with the optimal formation problem in the three dimensional space. For one class of formation problem with the particular constraints, it is shown that the center of the desired shape is determined and equal to the center of the initial shape by utilizing the Lagrangian method. From the perspective of efficiency, the main task of the continuous-discrete PSO algorithm, short for CDPSO, is to search for some key parameters and to minimize the distance of all robots from the initial shape to the desired shape. To demonstrate the effectiveness of the new CDPSO algorithm, numerical results chiefly concentrate on the optimal helicopters formation from the initial shape to the desired shape in the three dimensional space and the typical shape conversion from the two-dimensional space to the three-dimensional space.
According to the actual circumstance of the intersection,reasonably adjusting traffic light time can help to ease traffic pressure and save transportation *** this paper,Interval type-2 fuzzy sets and matched-degree a...
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According to the actual circumstance of the intersection,reasonably adjusting traffic light time can help to ease traffic pressure and save transportation *** this paper,Interval type-2 fuzzy sets and matched-degree are applied to the time of intersection signal adjusting,and five words are used to cover the range of adjusting lights’time,finally according to the average number of stranded vehicles,a query table is built to inquire and control the signal time during a certain period.
Assessment and analysis of the intersection status can help to make the right choice of interventions,it’s can bring convenience to solve the traffic *** this paper,interval type-2 fuzzy sets is applied in the analys...
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Assessment and analysis of the intersection status can help to make the right choice of interventions,it’s can bring convenience to solve the traffic *** this paper,interval type-2 fuzzy sets is applied in the analysis of the intersection state and congestion intervention,dynamic fuzzy comprehensive evaluation and footprint of uncertainty are used to assess the intersection *** with the example of intersection congestion,through corresponding intervention measures to improve the intersections crowded *** the linguistic dynamic orbits of road status figured out.
This paper proposes a coordination control strategy of voltage source converter based multi-terminal DC (VSC-MTDC) transmission system for integrating large-scale offshore wind power. Using a typical five-terminal DC ...
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The minimum entropy multiple model estimation algorithm(MEMM),one of variable structure multiple model estimators(VSMM),is an effective approach in handling the problems with high mode ***,the performance of MEMM will...
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ISBN:
(纸本)9781479900305
The minimum entropy multiple model estimation algorithm(MEMM),one of variable structure multiple model estimators(VSMM),is an effective approach in handling the problems with high mode ***,the performance of MEMM will deteriorate when the real observation errors are in disaccord with the prior observation error *** this end,we propose the k-means entropy multiple-model estimation algorithm(KMEMM) to refine the model sequence set adaptation ***,the k-means algorithm is employed to make several model sequence ***,the minimum entropy cluster is selected as the best model set and at last the Bayesian estimation is calculated based on *** simulation results demonstrate the efficiency of the proposed algorithm through comparing to several existing algorithms.
The intersection models, such as delay models and queuing length models, are the foundations of optimal signal timing for urban intersection. Lack of the field data of intersection, it is highly difficult to calibrate...
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The intersection models, such as delay models and queuing length models, are the foundations of optimal signal timing for urban intersection. Lack of the field data of intersection, it is highly difficult to calibrate parameters of the intersection models. Due to the effects of intersection topology, channelization and traffic conditions on these models, obviously it is impossible for single model to be suitable for optimal control of various intersections.
The parallel transportation system based on the method of ACP(Artificial systems,Computing experiments,Parallel control)will promote the level of city traffic intelligent decision and scientific management.A key pro...
The parallel transportation system based on the method of ACP(Artificial systems,Computing experiments,Parallel control)will promote the level of city traffic intelligent decision and scientific management.A key problem in the system is how to design a computing experiment method to predict and evaluate the traffic state by real-time and *** paper introduces the discrete-time queuing model to analyze the traffic flow at the signalized intersection and gives the evaluation conditions of the traffic ***,the evaluation conditions are applied to judge the traffic state based on the prediction data of traffic flows from the grey *** show the method is effective and feasible.
This paper presents an improved method to teleoperate impedance of a robot based on surface electromyography (EMG) and test it experimentally. Based on a linear mapping between EMG amplitude and stiffness, an incremen...
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Real-time bidding(RTB)advertising is a fast-growing business model in online display advertising *** the guaranteed display advertising,it utilizes programmatic instantaneous auction to price and sell ad inventory o...
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Real-time bidding(RTB)advertising is a fast-growing business model in online display advertising *** the guaranteed display advertising,it utilizes programmatic instantaneous auction to price and sell ad inventory on a per-impression *** enbales advertisers to target audiences at demographic,psychographic or behavioral levels across a wide range of *** RTB markets,information about target audiences is usually disclosed to advertisers,while information about publishers(*** ranking,advertising page)are typically not avaliable for advertisers,especially in real-time *** leads to a serious information asymmetry problem in RTB markets,which has significant influence on both advertisers’bidding strategies and publishers’*** this paper,we study the information disclosure strategies of publishers in case when the disclosure may incur an extra *** address this information asymmetry problem by first formulating the RTB auction as an second-price sealed-bid game,then discussing equilibrium information disclosure strategies for publishers and also investigating advertisers’bidding strategies in the three information disclosure cases:all disclosed,non-disclosed,and partially *** find that non-disclosed and partially disclosed strategies may lead to an adverse selection effect,and high-quality publishers will be forced to quit the RTB markets.
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