Engineering 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.
Available at: http://works.bepress.com/simon_laflamme/47/
This article is published as Hong, Jonathan, Simon Laflamme, Jacob Dodson, and Bryan Joyce. "Introduction to State Estimation of High-Rate System Dynamics." Sensors 18, no. 1 (2018): 217. DOI: 10.3390/s18010217. Posted with permission.