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Keywords: Kalman filter
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Journal Articles
Publisher: ASME
Article Type: Research-Article
J. Dyn. Sys., Meas., Control. March 2024, 146(2): 021001.
Paper No: DS-22-1240
Published Online: December 6, 2023
... contributions. 05 09 2022 09 10 2023 06 12 2023 multilink system high-speed motion Kalman filter IMU Office of Naval Research 10.13039/100000006 N00014-20-1-2468 Biological and biologically inspired systems can often be modeled as multilink systems since...
Journal Articles
Publisher: ASME
Article Type: Research-Article
J. Dyn. Sys., Meas., Control. June 2015, 137(6): 061004.
Paper No: DS-14-1120
Published Online: June 1, 2015
... variable structure filter (SVSF) was designed to estimate oxygen fractions and further the trapped unburned fuel. As a comparison, Kalman filter (KF) and linear matrix inequality (LMI) based linear parameter-varying (LPV) filter were also applied. Robustness properties of the three observers are analyzed...
Journal Articles
Publisher: ASME
Article Type: Technical Briefs
J. Dyn. Sys., Meas., Control. January 2013, 135(1): 014503.
Paper No: DS-11-1025
Published Online: October 30, 2012
...S. A. Gadsden; S. R. Habibi For linear and well-defined estimation problems with Gaussian white noise, the Kalman filter (KF) yields the best result in terms of estimation accuracy. However, the KF performance degrades and can fail in cases involving large uncertainties such as modeling errors...
Journal Articles
Publisher: ASME
Article Type: Technical Briefs
J. Dyn. Sys., Meas., Control. September 2012, 134(5): 054501.
Published Online: June 5, 2012
... provide a good benchmark for comparing the following nonlinear estimation techniques: the common extended and unscented Kalman filters (EKF/UKF), the particle filter (PF), and the relatively new smooth variable structure filter (SVSF). The results of applying the SVSF on the two target tracking problems...
Journal Articles
Publisher: ASME
Article Type: Technical Briefs
J. Dyn. Sys., Meas., Control. March 2011, 133(2): 024505.
Published Online: March 9, 2011
... signal time delay still must be estimated. Using a Padé approximation and a Kalman filter, we can estimate the mean time delay. Furthermore, methods are described to estimate the time delay of every packet instead of the mean for the measurement channel, which greatly enhances the performance of the Padé...
Journal Articles
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. September 2009, 131(5): 051002.
Published Online: August 17, 2009
.... The present work details the development of a centralized linear quadratic regulator (LQR) including state estimation via Kalman filtering. The controller is augmented by local turbine speed control and integral system power control. Relative gain array analysis has indicated that independent control loops...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. May 2009, 131(3): 031001.
Published Online: March 19, 2009
... of immeasurable states is achieved using a Kalman filter. It is shown that when operating in a highly nonlinear regime and as the frequency increases, significant performance enhancements are achieved relative to conventional proportional-integral control. control system synthesis feedback intelligent...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. September 2008, 130(5): 051004.
Published Online: August 1, 2008
...Saeid Habibi A method that is often used for parameter estimation is the extended Kalman filter (EKF). EKF is a model-based strategy that implicitly considers the effect of modeling uncertainties. This implicit consideration often leads to the tuning of the filter by trial and error. When...
Journal Articles
Publisher: ASME
Article Type: Technical Briefs
J. Dyn. Sys., Meas., Control. September 2003, 125(3): 482–485.
Published Online: September 18, 2003
..., the developed filter has reduced computational requirements. Comparative simulation results, under the influence of various types of unknown disturbance inputs, show the merits of the developed filter with respect to a conventional Kalman filter using disturbance estimation. It is found that the developed...