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.