The Kalman filter is tuned using a technique, developed by the authors, that provides for direct comparison of the Kalman and H∞ filters and may lead to better ...
The Kalman and H<sub>infin</sub> filters, which aim to minimize separate criteria, are optimal only in ideal circumstances. A question that arises in ...
The authors perform a thorough investigation of the extended H-infinity and Kalman filters based on results from stiffness estimation experiments.
Feb 5, 2008 · The paper uses the time-varying tolerance method to tune the H-infinity filter. Exploring similarities in the associated Riccati equations, the ...
A Comparison of H/spl infin/ with Kalman Filtering in Vehicle State and Parameter Identification ... H/sub ∞/ nonlinear filtering of discrete-time processes.
The Kalman filter characterizes the dynamic characteristics of a system through state equations and measurement equations. It is crucial to have an accurate ...
Missing: ∞ | Show results with:∞
The Kalman observer is an efficient recursive filter which estimates the state of a dynamic system from a series of incomplete and noisy measurements. This ...
This work investigates the nonlinear problem of parameter identification for systems with time-varying state-space models using the idea of an extended ...
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Oct 30, 2023 · Firstly, a 3-DOF nonlinear vehicle dynamics model is established. Secondly, the limited memory extended Kalman filter is formed by fusing the ...
Missing: ∞ | Show results with:∞
Jun 25, 2023 · Through research on existing achievements, this paper proposes an adaptive unscented Kalman filter method based on the Sage–Husa algorithm to ...