Abstract:For input nonlinear finite impulse response systems,based on the auxiliary model identification idea,this paper studies the auxiliary model (AM) based least squares (LS) identification algorithms,the AM multi-innovation LS identification algorithms,the interval-varying AM LS identification algorithms,the interval-varying AM multi-innovation LS identification algorithms and the AM finite data window LS identification algorithms,including the weighted LS algorithms and the forgetting factor LS algorithms.

Abstract:Although the cloud computing has more and more extensiveapplications,it is hindered by problems such as non-support of high mobility or geographical position information,high latencyand so on.To this end,fog computing has emerged,where cloud computing is extended to the edge of the network to decrease the latency and network congestion.This paper first introduces the concept,characteristics,and a reference architecture for fog computing,then discusses the application scenarios and the issue of fog computing security.Similar paradigmsto fog computing like in-situ computing and edge computing are also delineated.Finally,the distinctions and relations between cloud computing and fog calculation are given,and the future development direction of the fog is analyzed.Fog brings computing from the core tothe edge of the network,which expands the network computing paradigm characterized by cloud computing,thus will be applied to more and more extensive serviceforms and types.

Abstract:Anti-skid-brake systems are basic safety measures in the vehicle braking process.Slip ratio control is a very important part in the vehicle anti-skid-brake system.The vehicle braking process is a time-varying,nonlinear,and uncertain systems consideringthereal-time traffic conditions.To achieve the expected slip ratio control,the fuzzy wavelet neural networks are used to estimate the nonlinear,time varying part in the vehicle system model,and the equivalent control theory is employed to construct the slip ratio control law.The Matlab-simulink simulation shows that the designed method has good robust performance,and can control the slip ratio effectively and rapidly.

Abstract:For the inaccurate spectrum and energy measurement of antenna coupled lightning electromagnetic signal,experiment and theory are combined to find an equivalent circuit of antenna receiving lightning electromagnetic wave signals,with the purpose to analyze the spectral energy distribution of lightning and electromagnetic signals,and to propose a method of using broadband antenna to monitor lightning current,as well as estimating the size and trends of the lightning current value by measuring coupled voltage amplitude and energy amplitude of the electromagnetic pulse of lightning radiation sources on the receive antenna.Results show that the antenna with broad band measured by S11 curve can accurately monitor the size of lightning electromagnetic pulse and calculate the value and trends of lightning current.All the experimental results and theoretical analysis conclusions are basically in good agreement,which have guiding significance to the improvement of lightning monitoring,predicting and warning systems and to the measurement and analysis of lightning activity.

Abstract:This paper reviews the application of particle swarm in performance optimization for stochastic distribution systems.The control objective is the probability density function,not mean nor variance,which are usually adopted in traditional stochastic control.The proposed method can reduce the computation load,avoid the calculation of probability density functions of some intermediate variables.Moreover,it reduces the dependence on system models,which makes the algorithm more accurate and efficient.

Abstract:In this paper,the mean-square global exponential stability in Lagrange sense for delayed recurrent neural networks with Markovian switching is studied.We consider the Lurie-type activation functions,which include both bounded and unbounded activation functions.A sufficiency criterion for mean-square exponential stability of recurrent neural networks with Markovian switching is obtained.Finally,a numerical simulation example is provided to examine the correctness and effectiveness of our result.

Abstract:In order to provide operational support for meteorological observation,we develop a comprehensive judging method for the operation status of meteorological observation equipment in China,which is based on the operation status detection information of observation equipment,the meteorological observation data,Meteorological Metadata Information,as well asreported data from different levels of meteorological observation and support staff.This judgment system clarifies the classification criteria for four kinds ofoperational status,namely normal,alarm,fault and non-observation,which are displayed by colors of green,orange,blue,and gray,respectively.Application results show that the system is scientific in design,accurate in status judgment and effective in practice,thus will improve the stability and reliability of meteorological observation.

Abstract:Outputs of General Circulation Models (GCMs) are inadequate for the assessment of climate change on land-surface in regional scale.Statistical downscaling technique has been proposed as one of the tools to establish the relationship between the meso-scale GCM output and sub-grid-scale surface variables (such as air temperature).The Statistical Downscaling Model (SDSM) is applied to the Baiyangdian Basin in this study,with daily maximum and minimum air temperature as predictors.Selection of appropriate downscaling predictors is based on the relationship between meso-scale atmospheric variables and daily air temperature series in the Baiyangdian Basin,which are obtained from the NCEP re-analysis data set and observed data at meteorological stations,respectively.From the data set during the period of 1961-1990,data of the first 15 years (1961-1975) are used for calibration while the remaining data (1976-1990) are used for validation.Finally,daily maximum and minimum air temperature scenarios for future periods (2020s,2050s,and 2080s) are estimated using SDSM from output of the HadCM3 at 7 stations,and the temporal trends of daily maximum and minimum air temperature are analyzed.The results show that both daily maximum and minimum air temperature will increase under A2 or B2 scenario.Under A2 scenario,the magnitudes of increase for daily maximum and minimum air temperature are 0.37℃/(10 a) and 0.40℃/(10 a) in the plain area,whereas,these values are 0.61℃/(10 a) and 0.55℃/(10 a) in mountainous areas,respectively.Under the B2 scenario the magnitudes of increase are smaller in both mountainous area and plain area.The increasing tendencies for different areas are quite different.The trend in mountainous area is greater than that in plain area.The results show that both daily maximum and minimum air temperature in the Baiyangdian basin will arise in future.

Abstract:Based on monthly summer precipitation data during 1961-2010 from 73 meteorological stations in Hebei province and its vicinity,as well as the NCEP/NCAR reanalysis data and NOAA sea surface temperature(SST) data over the Pacific Ocean during the same and earlier period,the spatial and temporal variations of summer precipitation anomaly in Hebei province and its possible relationship with the circulation and Sea Surface Temperature over the Pacific Ocean are analyzed by using statistic analysis methods including Singular Value Decomposition(SVD).Results indicate that the uniformly drought/flood is the most common pattern for the spatial distribution of summer rainfall in Hebei,and the second pattern is a seesaw of drought/flood between southwestern and northeastern regions.When the 500 hPa height field in the middle and high latitudes of Eurasian region in summer is distributed as negative,positive,negative and positive teleconnection pattern from west to east,the precipitation of Hebei is above normal with the most sensitive areas in the eastern part of Hebei.The pattern of rainy in northeastern Hebei and drought in other regions(Baoding,Xingtai and Hengshui) has a good coupling relationship with the positive phase of PDO distribution over North Pacific SSTA and the El Niño distribution over the Equatorial Central-eastern Pacific SSTA,which is also revealed by Maximum Covariance Analysis diagnosis.A distinct north/south wind anomaly in the wind field of 850 hPa over eastern area of China is presented in drought/flood summers of Hebei.

Abstract:In the development of modern global ocean numerical model,it's needed to keep the properties of water masses unchanged on basin scales for decades or hundreds of years with even hundreds of eddy turnovers,while the turbulent mixing is necessary for maintaining stratification and ocean circulation.So the numerical ocean model equations and variables need to be discretized on a global mesh,which will produce truncation errors inevitably,resulting in spurious dianeutral mixing.This article makes a literature summary on the spurious dianeutral mixing,including aspects of its sources,diagnostics and controlling methods.

Abstract:The South Yellow Sea region is one of the most active areas with medium-and-strong earthquakes in the eastern part of China.According to the statistical analysis,the activity of M≥6 earthquakes in this region has shown an obvious commensurability and orderliness since 1846.The main orderly values are 74-75 a,57-58 a,11-12 a,and 5-6 a,of which 74-75 a and 57-58 a play an outstanding role in strong earthquake prediction.Under the guidance of the information forecasting theory proposed by Weng Wenbo,we construct and further optimize the 2D-and 3D-ordered network of M≥6 earthquakes.The structure and its prediction function for strong earthquakes are discussed in detail after reviewing and summing up the successful prediction for the M6.1 earthquake in the South Yellow Sea on November 9,1996.In the meanwhile,the trend prediction of M≥6 earthquakes in the future and demonstration analysis are studied on the basis of the ordered network structure and commensurable analysis.The results show that the first M≥6 earthquake in the next active episode will probably occur around 2053-2054;furthermore,the second one or strong earthquake swarm in the future will probably occur around 2058-2059.

Abstract:A ring is called uniquely strongly clean if every element is uniquely the sum of an idempotent and a unit that commute.The structure of uniquely strongly clean group rings is studied in this paper.It is proved that if G is a locally finite group,then group ring RG is uniquely strongly clean if and only if R is uniquely strongly clean and G is a 2-group.