Event-triggered sensor data transmission policy for receding horizon recursive state estimation. Issue 2 (June 2017)

• Record Type: Journal Article
• Authors: Li, Yunji; Peng, Li
• Is Part Of: Journal of algorithms & computational technology. Volume 11:Issue 2(2017)
• Page Start: 178
• Page End: 185
• Publication Date: 2017-06
• Subjects: Event-triggered state estimation -- receding horizon strategy -- least squares techniques -- boundedness; Computer algorithms -- Periodicals; Numerical calculations -- Periodicals; Computer algorithms; Numerical calculations; Periodicals; 518.1
• DOI: 10.1177/1748301816680502
• Languages: English
• ISSNs: 1748-3018

Abstract

We consider a sensor data transmission policy for receding horizon recursive state estimation in a networked linear system. A good tradeoff between estimation error and communication rate could be achieved according to a transmission strategy, which decides the transfer time of the data packet. Here we give this transmission policy through proving the upper bound of system performance. Moreover, the lower bound of system performance is further analyzed in detail. A numerical example is given to verify the potential and effectiveness of the theoretical results.