多通道异构网络诱导延时约束下网络化控制系统的量化控制研究  

QUANTIZED CONTROL FOR NETWORKED CONTROL SYSTEMS WITH MULTI-CHANNEL HYBRID NETWORK-INDUCED DELAY CONSTRAINTS

作　　者：杜大军[1] 漆波[1] 费敏锐[1] 

机构地区：[1]上海市电站自动化技术重点实验室,上海大学机电工程与自动化学院,上海200072

出　　处：《系统科学与数学》2015年第4期397-406,共10页Journal of Systems Science and Mathematical Sciences

基　　金：国家自然科学基金(61473182);上海市科委重点基础项目(14JC1402200;11JC1404000);上海市青年科技启明星计划(13QA1401600)资助课题

摘　　要：针对异构网络环境下信号在多通道中传输受到的网络诱导延时在每个通道不尽相同,使得量化控制更加困难的问题.文章首先运用两个马尔科夫链分别刻画有线和无线网络在同一/不同时刻每个通道的网络诱导延时特性并给出数学描述式,进而建立了融合量化器参数和多通道异构网络诱导延时参量的马尔科夫跳变系统综合模型.理论证明了在给定量化密度和最长网络诱导延时下闭环系统随机稳定,并建立了量化参数、网络诱导延时和系统稳定性之间的关系.最后,仿真验证了所提方法可行且有效.Different network-induced delay of each channel under hybrid network environment brings new challenges for quantized control for networked control sys- tems. Two different Markov chains are firstly used to describe the characters of each channel network-induced delay of wireless and wired networks respectively, and the analytical formulation is also proposed. Markov jump system model that inte- grates quantizer parameter and network-induced delay parameter is then established. For the given density of quantization and the maximum network-induced delay, the close-loop system stochastic stability is presented, and the relationship between quan- tization parameter, network-induced delay and system stability is provided. Finally, simulation results confirm the effectiveness and feasibility of the proposed method.

关 键 词：异构网络 马尔科夫链 网络诱导延时 量化器 随机稳定 

分 类 号：O211.62[理学—概率论与数理统计]