Title :
Extension of Friedland´s separate-bias estimation to randomly time-varying bias of nonlinear systems
Author :
Zhou, D.H. ; Su, Y.X. ; Xi, Y.G. ; Zhang, Z.J.
Author_Institution :
Inst. of Ind. Process Control, Zhejiang Univ., Hangzhou, China
fDate :
8/1/1993 12:00:00 AM
Abstract :
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
Keywords :
Kalman filters; identification; nonlinear control systems; time-varying systems; Friedland´s separate-bias estimation; nonlinear systems; pseudo-separate-bias estimation; randomly time-varying bias; suboptimal fading extended Kalman filter; time-varying stochastic systems; Automatic control; Electrical equipment industry; Fading; Linear systems; Noise measurement; Nonlinear systems; State estimation; Stochastic systems; Sun; Time varying systems;
Journal_Title :
Automatic Control, IEEE Transactions on
