Suboptimal state estimation for continuous-time nonlinear systems from discrete noisy measurements 论文

1968IEEE Transactions on Automatic Control引用 393
Target Tracking and Data Fusion in Sensor NetworksControl Systems and IdentificationFault Detection and Control Systems

摘要

This paper presents the derivation of the dynamical equations of a second-order filter which estimates the states of a non-linear plant on the basis of discrete noisy measurements. The filter equations contain terms involving the second-order partial derivatives of the plant and output equations. Simulation results are presented which yield a comparison of the performance of the first-versus the second-order filter when applied to a nonlinear third-order system. The results indicate that the inclusion of second-order terms can markedly improve the filter performance.