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Parametric covariance assignment using reduced-order closed-form covariance model

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In this paper, two novel closed-form covariance, models using covariance matrix eigenvalues are presented for, continue-time linear stochastic systems and discrete-time linear, stochastic systems, respectively, which are subjected to Gaussian, noises. Based on these model, the state and output covariance, assignment algorithms have been developed with parametric state, and output feedback. Due to the simple structure of this model, the low-order controller can be obtained following the proposed, algorithms, which reduced computational complexity and the, extended free parameters of parametric feedback can supply, flexibility to optimization.

源语言英语
主期刊名2015 21st International Conference on Automation and Computing
主期刊副标题Automation, Computing and Manufacturing for New Economic Growth, ICAC 2015
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9780992680107
DOI
出版状态已出版 - 30 10月 2015
已对外发布
活动21st International Conference on Automation and Computing, ICAC 2015 - Glasgow, 英国
期限: 11 9月 201512 9月 2015

出版系列

姓名2015 21st International Conference on Automation and Computing: Automation, Computing and Manufacturing for New Economic Growth, ICAC 2015

会议

会议21st International Conference on Automation and Computing, ICAC 2015
国家/地区英国
Glasgow
时期11/09/1512/09/15

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