Abstract:Performance analysis of identification methods is the important and difficult projects in the area of system identification.Once one new identification method is born,its convergence analysis appears.The auxiliary model identification is a branch of system identification and has become a large family of identification methods,their convergence brings many projects.This paper studies the consistent convergence of the auxiliary model (AM) based stochastic gradient (SG) algorithm,the AM recursive least squares (RLS) algorithm,the AM multi-innovation SG algorithm,the interval-varying AM SG algorithm and the interval-varying AM RLS algorithm for output-error systems,and analyzes approximately the convergence of the AM recursive generalized extended least squares algorithm for Box-Jenkins systems.

Abstract:This paper mainly discusses the robust quantized feedback tolerant-fault control design for teleoperated robotic systems.The teleoperated robot systems are obstructed by problems of actuator degradation,control input quantization,and quantized sensitivity parameter mismatch on the coder and decoder side.The construction of the controller includes two parts:the linear part is established via linear matrix inequality(LMI) for indexed performance problem,and the nonlinear part is designed to deal with quantized parameter mismatch issue.It shows that the proposed robust quantized feedback fault-tolerant control law can effectively eliminate the effects of actuator degradation and quantized parameter mismatch,and ensure the trajectory tracking from slaver robot to master robot asymptotically.Finally,the validity of the theoretical result is verified via simulation.

Abstract:This paper focuses on the attitude control of flexible spacecraft with time-varying input delay.A composite hierarchical control structure,which combines delay-dependent H_∞ control with disturbance-observer-based control (DOBC),is designed to achieve stable control of both attitude angle and attitude angular velocity.Advantages of the proposed method include:1) the disturbance caused by vibration is compensated accurately to reduce the influence of disturbance on control effects;2) a delay-dependent state controller is designed to reduce the effects of delay on attitude;3) the decomposition coefficient of delay integral inequality is introduced in the process of function solving,which may reduce design conservatism.Finally,numerical simulations are used to verify the effectiveness of the proposed method and to show the effects on close loop system performance by time delay bound and decomposition coefficient.

Abstract:By using the Lyapunov function,the invariant principle of functional differential equation and stochastic analysis theory,as well as adaptive feedback control technique,some sufficient conditions are derived to achieve complete adaptive synchronization of the addressed neural networks.Our synchronization criterion is easily verified and does not solve any linear matrix inequality.Moreover,a numerical example and its simulation are provided,which demonstrate the effectiveness and correctness of the theoretical results.

Abstract:This paper considers the hedging problem for a class of stochastic differential delay equations with Markov switching.When the price process of a risky asset follows the considered model,we derive a martingale representation for the price process of a contingent claim written on the risky asset with respect to an equivalent martingale measure obtained by the Esscher transform.Then,under some conditions for the coefficients of the model,we identify the continuous-time hedging strategy by minimizing the residual risk in the incomplete market due to the additional source of uncertainty introduced by the regime switching.

Abstract:A low voltage multi-loop circuit monitoring system is designed,which integrates sensors and nodes for in-spot monitoring and data acquisition,ZigBee and GPRS for data transmission.The acquired data are transferred through ZigBee communication network to data gateway,which can be connected to a portable PC for information storage or processing.The hardware design,software design and parameters setting are described in detail.The system is characterized by real-time monitoring of electrical parameters and switching state for multiple circuits,thus is helpful for diagnosis and solve of possible grid problems.Adoption of ZigBee technology makes the wireless monitoring system scalable,reliable and secure,besides,the numerous sensors and convenience for node add make the system easy to install and quick for deployment.

Abstract:A novel finite element method (FEM) based wide-angle (WA) beam propagation method (BPM) was presented whereby the scalar Helmholtz equation was solved without using the slow varying envelope approximation (SVEA) and was more general and preciser than the well-known WA-BPM proposed by Hadley.The accuracy of this novel scheme was increased 10% in comparison with that of other existing approaches.

Abstract:In order to solve the problem that the temperature sensor is susceptible to humidity during measurement,this paper takes some improvement researches into advolution operation,alienation operation and convergence conditions in mind evolutionary algorithm,and makes some adaptive adjustment of the distributing weights in the convergence operation.Differential operation is introduced into alienation operation and the situation with flat searching plane is considered.A humidity compensation method using improved mind evolutionary algorithm of BP neural network model is established,according to the sample data obtained from the experiment of humidity influence.Compared with general BP neural network model,the improved mind evolutionary algorithm of BP neural network model has higher compensation precision,faster convergence and less computation load,which can improve the accuracy and reliability of the temperature sensor effectively and is convenient for applications.

Abstract:An efficient numerical method is developed for calculating surface modes of a semi-infinite two dimensional photonic crystals by Dirichlet-to-Neumann (DtN) maps.Using the DtN maps of three different unit cells to construct the DtN map of the supercell,the surface modes are solved from a linear eigenvalue problem on two boundaries of the supercell,leading to relatively small matrices.Finally we use two numerical examples to verify the effectiveness of the method.

Abstract:Statistical characteristics of precipitation extreme are computed and analyzed by using L-moment method in Huaihe river basin in this paper,which can provide theoretical basis for frequency estimates.The results indicate that the mean and deviation of annual maximum precipitation(AMP) range from 92.79 mm to 130.28 mm,and 0.193 to 0.266,respectively.The AMP distribution of each site is right skewness,that is to say,more than half of the AMP values are less than the average,with only a few greater than the average value which have bigger influence on the average.Compared with normal distribution,the distribution of AMP from each site are rush peak and thick tail.The spatial distribution of statistical parameters show that the high values mainly distributed in the southwest mountain areas and eastern hills,which means AMP in these regions are more and stronger than that in other regions.Statistical parameters of precipitation extreme can not only reflect the general average and annual fluctuations of annual AMP,also grasp the ends of the AMP distribution,especially tail end of precipitation extreme.So,analysis of precipitation extreme parameters can provide good guidance for flood control.

Abstract:Forecast verification involves exploring and summarizing the relationship between sets of forecast and observation and making comparisons between the performances of different forecasting systems.Statistical significance is one important aspect of measuring the absolute quality of verification results.It is an effective way to judge whether the performance improvement is statistically significant or just arisen by chance.For general meteorological forecast verification,some verification scores,such as precipitation skill scores,can hardly use the standard procedure for confidence interval to measures the difference in performance between different forecast systems.It is not possible to be sure that the apparent differences in skill scores are real and not just due to random fluctuations because of the data uncertainty.The Monte Carlo method is a numerical way to account for this.By resampling process,we can provide an adequate representation of the full underlying population which satisfies normal distribution by the verification samples of random variables.In this paper,some precipitation skill scores of GRAPES global forecast system and T639 models such as Threat Score and Bias Score are calculated from 1Aug to 31 Aug of 2015.The daily precipitation observation data are taken from 2 400 Chinese rain gauges.The Monte Carlo method is used for a statistical significance test and the convergence characteristics with different resampling times are also analyzed.Results show that Monte Carlo test using 10 000 test samples looks sufficient and a real model performance with significant improvement is provided.

Abstract:The problem of maximizing the expected utility is analyzed in a market,where assets are modeled by their fuzzy valued payoffs.The weighted expected utility model is used for analysis and discussion.A concept of arbitrage in fuzzy sense is proposed.It is proved that the optimal portfolio exists if and only if the market has no arbitrage in fuzzy sense.Properties on the optimal portfolio are discussed,among which current prices of assets can be expressed by the optimal portfolio.

Abstract:Based on Nanchang residents' happiness questionnaire,this paper explores the main factors that influence the residents' happiness by factor analysis.The structural equation model is used to study the relationship between the influencing factors,and an index system is established to measure Nanchang residents' happiness.Results show that the potential variable factors of Nanchang residents' happiness can be classified as natural environment,social environment,condition of fame and wealth,and physical & mental health.Natural situation greatly influences the social environment,while the fame and wealth status greatly influences the physical and mental health.According to the residents' happiness index system,the impact factor index of fame and wealth is the lowest and the impact factor index of physical & mental health is the highest.As a result,comprehensive economic development and social security are needed to improve Nanchang residents' happiness.

Abstract:An ionic liquid-based composite solution,[Bmin] [BF₄]+AMP was used to capture CO₂.Performance of the composite solution was studied in a circular system of membrane absorption-heat regeneration.A mass transfer model was developed to predict overall mass transfer coefficient.Results show that the composite solution has higher mass transfer driving force and higher mass transfer coefficient under the same conditions with higher loading.Prediction values are in good agreement with experimental values,with average error of 12.8%.It is demonstrated that the performanceof the composite solution for CO₂ captureis superior to that of single solution.