Kalman filtering for continuous-time uncertain systems with Markovian jumping parameters 论文

1999IEEE Transactions on Automatic Control引用 370
Fault Detection and Control SystemsStability and Control of Uncertain SystemsTarget Tracking and Data Fusion in Sensor Networks

详细信息

发表期刊/会议
IEEE Transactions on Automatic Control
发表日期
1999-01-01
发表年份
1999

关键词

Fault Detection and Control SystemsStability and Control of Uncertain SystemsTarget Tracking and Data Fusion in Sensor Networks

摘要

Studies the problem of Kalman filtering for a class of uncertain linear continuous-time systems with Markovian jumping parameters. The system under consideration is subjected to time-varying norm-bounded parameter uncertainties in the state and measurement equations. Stochastic quadratic stability of the above system is analyzed. A state estimator is designed such that the covariance of the estimation error is guaranteed to be within a certain bound for all admissible uncertainties, which is in terms of solutions of two sets of coupled algebraic Riccati equations.