设为首页|加为收藏|English

学术报告
来源:  时间:2018-02-07   《打印》
随机时延网络化系统的均方镇定

题目:随机时延网络化系统的均方镇定
    报告人:苏为洲教授 (华南理工大学)
    时间:2018.1.9 10:00-11:00
    地点:N514

 

摘要:
This talk investigates the mean-square stability and stabilizability of a networked SISO feedback system over a communication channel with random transmission delay and packet dropout. The transmission delay for each data is an integer step within a given bounded range. A sequence of transmission delays for all transmitted data is an independent and identically distributed (i.i.d.) stochastic process and the probability mass function (PMF) for the transmission delays and packet dropout is known. A nominal closed-loop system is obtained of the networked feedback system, which consists of the plant and controller in the system as well as the channel in mean sense. The other is a stochastic channel uncertainty which is with a random finite impulse response. Each element in the impulse response is with zero mean. It is shown that this stochastic channel uncertainty is a colored multiplicative noise and the networked system is a feedback loop comprised by the nominal closed-loop system and this noise. The ratio between the spectral density factorization of the multiplicative noise and the transfer function of the channel in mean sense is called a colored signal-to-noise ratio. A necessary and sufficient condition is found for the mean-square stability of the network feedback system with a given controller, which is determined by the H2-norm of the product between the nominal system’s transfer function and the colored signal-to-noise ratio. Moreover, the mean-square stabilizable condition of the networked system is presented and the interaction between the colored signal-to-noise ratio and the plant’s unstable poles is studied in the mean-square stabilization problem. According to the mean-square stabilizable condition, an optimal output feedback controller is designed in the mean-square stabilization for the networked system.

简介
苏为洲分别于1983、1986年在东南大学自动控制系获得学士和硕士学位,1996年于新加坡南洋理工大学获得电机工程硕士学位,2000年获澳大利亚纽卡斯大学电机工程博士学位。1986-1994年任教于东南大学自动控制系,2000-2004年在纽卡斯大学、香港科技大学等校任博士后研究员。2004年起任教于华南理工大学,现任华南理工大学自动化学院教授、博士生导师。苏为洲教授的研究领域包括:基于网络的控制和信号处理、随机线性系统的镇定与最优控制、鲁棒与最优控制、反馈系统性能极限分析、伺服系统的建模与最优控制等。

附件
相关文档