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.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
