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Robustness of the Unscented K

Edvard Nærum, H. Hawkeye King, Blake Hannaford

发表年份
2009
引用次数
2
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摘要

The Unscented Kalman Filter (UKF) was applied to state and parameter estimation of a one degree of freedom robot link with an elastic, cable-driven transmission. Only motor encoder and command torque data were used as input to the filter. The UKF was used offline for joint state and model-parameter estimation, and online for state estimation. This paper presents an analysis of the robustness of the UKF to unknown/unmodeled variation in inertia, cable tension and contact forces, using experimental data collected with the robot.

关键词

Robustness (evolution)Computer scienceControl theory (sociology)Artificial intelligence

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