Extension of Friedland's separate-bias estimation to randomly time-varying bias of nonlinear systems

Zhou D.H.; Su Y.X.

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Extension of Friedland's separate-bias estimation to randomly time-varying bias of nonlinear systems

机译：将弗里德兰德的分离偏差估计扩展到非线性系统的随机时变偏差

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摘要

By extending B. Friedland's (1969) separate-bias estimation algorithm for linear systems to nonlinear systems and combining the result with the suboptimal fading extended Kalman filter proposed by D.H. Zhou (1990) and by D.H. Zhou et al., a pseudo-separate-bias estimation algorithm for randomly time-varying bias of a class of nonlinear time-varying stochastic systems is obtained. A simulation example is presented to illustrate the effectiveness of the algorithm.

机译：通过将线性系统的B.Friedland（1969）的独立偏置估计算法扩展到非线性系统，并将结果与DH Zhou（1990）和DH Zhou等人提出的次优衰落扩展卡尔曼滤波器相结合，可以得到伪分离的获得了一类非线性时变随机系统随机时变偏差的偏差估计算法。给出了一个仿真实例来说明该算法的有效性。

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《IEEE Transactions on Automatic Control》 |1993年第8期|P.1270-1273|共4页
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Zhou D.H.; Su Y.X.;
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Extension of Friedland's separate-bias estimation to randomly time-varying bias of nonlinear systems

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