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In this study, an unscented Kalman filtering approach is proposed for nonlinear singular systems to obtain not only the estimation for the states but also for the unknown inputs presented in the measurement equations. No prior information is needed for the unknown inputs to be estimated. The formulation of the proposed approach is based on the weighted least squares estimation (LSE) and the unscented...
The composition and parameter estimation for batch distillation operations is addressed using a novel extended Kalman filter with unknown inputs without direct feedthrough (EKF-UI-WDF) approach. The major advantage of this approach lies in its capability of estimating states and unknown inputs (e.g. arbitrary deterministic disturbances) simultaneously, whereas the traditional nonlinear filter approaches...
For the small UAVs (unmanned aerial vehicle) using MEMS sensors, this article puts forward a Kahnan Filter model to get attitude estimate without long term drift and showing relatively smaller error. Firstly, strapdown inertial attitude algorithm and bi-vector attitude algorithm are presented, which are widely used in small UAV autopilot systems now. However, there is a problem of long term drift...
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