An adaptive unscented Kalman filter for tracking sudden stiffness changes-Reference-Cited by-同舟云学术

An adaptive unscented Kalman filter for tracking sudden stiffness changes

Published:2014-12 Issue:1-2 Volume:49 Page:181-195
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Bisht Saurabh S.,Singh Mahendra P.

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference39 articles.

1. System Identification: Theory for the User;Ljung,1999

2. Theory and Practice of Recursive Identification;Ljung,1983

3. Implementation of self-tuning regulator with variable forgetting factor;Fortescue;Automatica,1981

4. Element level system identification with unknown input;Wang;J. Eng. Mech.,1994

5. System identification with limited observations without inputs;Wang;J. Eng. Mech.,1997

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