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This paper uses a Kalman filter with retrospective cost–based input estimation (KF/RCIE) to track maneuvering targets with unknown acceleration. Unlike conventional tracking methods that model the acceleration as a random process, KF/RCIE views the unknown acceleration as a deterministic unknown signal. Retrospective cost optimization is then used to estimate the unknown acceleration. Numerical examples...
The linear vibratory feeding system plays an important role in the automated production line. It is often seen to use linear vibratory feeding system to transmit the part in an automated production line. The transmission efficiency of the linear vibratory feeding system has a great influence on the capacity of entire production line. So it has important value to research how to improve the efficiency...
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