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For SWARM robots, the complicated tasks should be implemented by the cooperation among the individual robots. Due to the features of mobility and miniaturization, the perception and communication capabilities of such SWARM robots are usually limited. For the communication between the mobile robots, the transmission signal would suffer attenuation and disturbance in terms of the space-time factors...
Putting forward a new method of power system medium-long term load forecast model establishment based on state space time-varying parameter equation theory, this work brings state variable into model observable for solution, which reflects the varying rules of equilibrium relation of variables and enhances the veracity for model forecast. The State Space time-varying parameter model describes the...
Biologically inspired image/signal processing like the intersecting cortical model (ICM) and mathematic morphology is described. Under certain operations, the parallel pulse transmission characteristic of ICM in image processing is equal to the erosion/dilation operation of binary mathematic morphology. Granulometry, binary image thinning, edge detection and hole filtering algorithms based on ICM...
Short term wind forecasting is a very important work to the operation of wind farms and power systems. In this paper, ARCH (Autoregressive Conditional Heteroscedasticity) effects of wind data series are analyzed with Eviews software. Firstly, an ARMA (Autoregressive Moving Average) model of wind speed time series is built. Secondly, ARCH (Autoregressive Conditional Heteroscedasticity) effect of the...
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