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We propose an inspection and replacement policy for a mission-based system based on the delay time concept, which assume the system state to be either normal or defective before failure. Such a system executes missions successively with random durations, and inspections are schemed at every completion of missions (random inspection) as well as periodic times to identify the defective state. Random...
Deploying false targets is an effective measure to increase the survivability of genuine object when it encounters intentional attacks. Existing researches have mainly assumed that the false target is perfect or can be detected with a constant detection probability. In this paper, it is assumed that both genuine object and false target are possible to be detected. The detection probability of the...
This paper is concerned with the identification of multiple model process with transition using the output error (OE) method. Local multiple linear models with output error model structure are identified at fixed operating points first and then a global nonlinear model is approximated by interpolating the multiple linear models with exponential weighting functions. With all the obtained initial values...
Traditional subspace identification (SID) framework uses Kalman filter or predictor to interpret the SID models. To achieve this the horizons f, p have to approach infinity to be consistent. In practice, however, the horizons f, p are finite. We argue that for finite f and p the Kalman filter framework does not apply. In this paper, we introduce a progressive parametrization framework to interpret...
Taking soybean futures on Dalian Commodity Exchange for example, the paper studies the relationship between transaction behavior of agricultural futures investors and volatility of futures price. Most previous researches use parametric models to study price volatility, but estimation of volatility is efficient only when the form of general parametric models is rational and all assumptions are fulfilled...
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