Robust Kalman filtering for delay-dependent interval systems

Jason Sheng Hong Tsai, Chien Yu Lu, Te Jen Su

研究成果: Article

4 引文 斯高帕斯(Scopus)

摘要

In this paper, we study the problem of Kalman filtering for a class of linear continuous-time interval systems with delay-dependent conditions. By employing a Lyapunov-Krasovskii functional approach, it is proven that the dynamics of the estimation error is stochastically exponential stable in the mean square. Sufficient conditions are proposed to guarantee the existence of the desired robust Kalman filters by solving linear matrix inequality which is delay dependent. A numerical example is worked out to illustrate the validity of the theoretical results.

原文English
頁(從 - 到)431-442
頁數12
期刊International Journal of General Systems
33
發行號4
DOIs
出版狀態Published - 2004 八月

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Theoretical Computer Science
  • Information Systems
  • Modelling and Simulation
  • Computer Science Applications

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