Introduction to State Estimation of High-Rate System Dynamics
AbstractEngineering systems experiencing high-rate dynamic events, including airbags, debris detection, and active blast protection systems, could benefit from real-time observability for enhanced performance. However, the task of high-rate state estimation is challenging, in particular for real-time applications where the rate of the observer’s convergence needs to be in the microsecond range. This paper identifies the challenges of state estimation of high-rate systems and discusses the fundamental characteristics of high-rate systems. A survey of applications and methods for estimators that have the potential to produce accurate estimations for a complex system experiencing highly dynamic events is presented. It is argued that adaptive observers are important to this research. In particular, adaptive data-driven observers are advantageous due to their adaptability and lack of dependence on the system model. View Full-Text
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Hong, J.; Laflamme, S.; Dodson, J.; Joyce, B. Introduction to State Estimation of High-Rate System Dynamics. Sensors 2018, 18, 217.
Hong J, Laflamme S, Dodson J, Joyce B. Introduction to State Estimation of High-Rate System Dynamics. Sensors. 2018; 18(1):217.Chicago/Turabian Style
Hong, Jonathan; Laflamme, Simon; Dodson, Jacob; Joyce, Bryan. 2018. "Introduction to State Estimation of High-Rate System Dynamics." Sensors 18, no. 1: 217.
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