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Based on the modern time series analysis method, for single channel autoregressive moving average (ARMA) signals with colored noise, a self-tuning weighted measurement fusion Kalman filter is presented when the model parameters and noise statistics are unknown. By applying the recursive instrumental variable (RIV) algorithm and the Gevers-Wouters (G-W)(More)
For a two-sensor linear discrete time-invariant stochastic system with time-delayed measurements, an equivalent system without measurement delays is obtained by applying the measurement transformation method. Using the modern time series analysis method, based on the ARMA innovation model, the local steady-state optimal Kalman estimators are obtained. Then(More)
T-/π- unstiffened Vierendeel connections in SHS sections loaded by axial and shear forces have been studied by nonlinear finite element method and uniform design approach. The influence of cross-sectional dimensions of members, the segmental length and the height of a Vierendeel truss were considered. Analysis shows that the cross-sectional(More)
The purpose of this research is to analyze the innovation efficiency of Chinese domestic-funded enterprises. Data envelopment analysis (DEA) and Malmquist index are used to evaluate innovation efficiency changes. CCR model is applied to measure technical innovation efficiency scores, radial movements, and slack movements. BCC model is extended to analyze(More)
For the multisensor autoregressive moving average (ARMA) signals with unknown model parameters and noise variances, using recursive instrumental variable (RIV) algorithm, the correlation method and the Gevers-Wouters algorithm with dead band, the information fusion estimators of model parameters and noise variances are presented. They have strong(More)
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