Nonlinear Recursive Filtering with Incomplete Information

报告人: 英国Brunel大学 Wang Zidong教授
时间: 201357(周二)下午4:00
地点: 实验15317

报告题目:Nonlinear Recursive Filtering with Incomplete Information


 Abstract:

 In this talk, we will discuss the recursive filtering problem for nonlinear stochastic systems with randomly occurring incomplete information. We will address the quantized filtering problem, the extended Kalman filtering problem, the recursive filtering problem with random parameter matrices, the gain-constrained recursive filtering problem and the probability-guaranteed filtering problems. The incomplete information includes multiple missing measurements, fading measurements, quantization effects, probabilistic sensor delays, sensor saturations, etc. Both the theoretical research and engineering applications will be discussed, and a series of recently published results will be reported.


报告人介绍:

王子栋博士现任英国布鲁奈尔大学工程设计与物理科学学院终身教授。多年来从事控制理论(随机控制,鲁棒控制,非线性控制,模型简化)、信号处理、生物信息学方面的研究,在SCI刊物上发表国际论文四百余篇。现任或曾任十二种国际刊物的主编、副编辑或编委,包括Neurocomputing主编;国际系统科学杂志执行主编;IEEE自动控制汇刊副编缉;IEEE控制系统技术汇刊副编缉;IEEE神经网络汇刊副编缉;IEEE系统、人、与控制汇刊副编缉;IEEE信号处理汇刊副编缉等。

网页发布时间: 2013-05-06