Recursive filtering for stochastic parameter systems with measurement quantizations and packet disorders
作者：
Highlights：
• The recursive filtering problem is studied for stochastic parameter systems.
• Quantization effects and packet disorders are considered.
• Desired upper bounds on the resultant filtering error covariances are guaranteed.
• The obtained upper bounds are minimized by acquiring appropriate filter gains.
• Sufficient conditions are established to ensure the mean-square boundedness of filtering errors.
摘要
•The recursive filtering problem is studied for stochastic parameter systems.•Quantization effects and packet disorders are considered.•Desired upper bounds on the resultant filtering error covariances are guaranteed.•The obtained upper bounds are minimized by acquiring appropriate filter gains.•Sufficient conditions are established to ensure the mean-square boundedness of filtering errors.
论文关键词：Recursive filtering,Stochastic parameter systems,Measurement quantizations,Packet disorders
论文评审过程：Received 24 August 2020, Revised 5 December 2020, Accepted 3 January 2021, Available online 30 January 2021, Version of Record 30 January 2021.
论文官网地址：https://doi.org/10.1016/j.amc.2021.125960
