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随机间歇测量多变量连续系统的均方可检测

Mean square detectability of multi-variable continuous-time systems with random intermittent measurements
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摘要 讨论具有随机间歇测量多变量连续系统的均方可检测问题,将随机间歇测量通道的不可靠性建模成平行乘性噪声通道,噪声为具有伯努利分布白噪声过程.研究了当单个通道噪声方差可调整时各平行通道噪声方差之间的权衡和整体约束问题,指出为确保随机间歇测量下多变量连续系统均方可检测性,上述整体约束可由系统的不稳定度表示. This study addresses the mean square detectability for multiple variable continuous systems with ran-dom intermittent measurements. The unreliability of random intermittent measurement channels is modeled as the parallel muhiplicative Bernoulli white noise channels. The trade-off among the variances of parallel sub-channel noises and constraint from the characteristics of the systems in the problem are studied when the variances of sub- channel noises can be adjusted. The constraint is shown in terms of the instability degree of the plant to achieve the mean square detectability of multiple variable continuous systems.
作者 沈志萍 邬依林 苏为洲
机构地区 华南理工大学自动化科学与工程学院 新乡学院数学与信息科学系 广东第二师范学院计算机科学系
出处 《深圳大学学报（理工版）》 EI CAS 北大核心 2013年第1期72-77,共6页 Journal of Shenzhen University(Science and Engineering)
基金 国家自然科学基金资助项目(61273109) 广东省自然科学基金资助项目(S2012010008462)~~
关键词 均方可检测 信噪比 资源分配 Wonham分解 容量制约 随机间歇测量 mean square detectability signal-to-noise ratio resource allocation Wonham decomposition capaci-ty constraints random intermittent measurements
分类号 TP11 [自动化与计算机技术—控制理论与控制工程]
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深圳大学学报（理工版）
2013年 第1期

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