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Minimum entropy of B-spline PDF systems with mean constraint
Yue, H; Zhou, JL; Wang, H
Source PublicationAUTOMATICA
AbstractFor the B-spline approximation of the continuous probability density function (PDF), the relationships between the B-spline weights and entropy both in general and under the mean constraint have been analyzed. It provides the conditions under which the minimum entropy can be achieved subject to the mean constraint. The difference between the entropy of continuous and discrete distributions has also been clarified. A minimum entropy controller with the mean constraint is then developed and several simulations are performed to verify the main results. (c) 2006 Elsevier Ltd. All rights reserved.
KeywordContinuous Distribution Probability Density Function (Pdf) B-spline Minimum Entropy Mean Constraint
WOS HeadingsScience & Technology ; Technology
Indexed BySCI
WOS Research AreaAutomation & Control Systems ; Engineering
WOS SubjectAutomation & Control Systems ; Engineering, Electrical & Electronic
WOS IDWOS:000237905600012
Citation statistics
Cited Times:32[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Affiliation1.Univ Manchester, Control Syst Ctr, Manchester M60 1QD, Lancs, England
2.Chinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China
Recommended Citation
GB/T 7714
Yue, H,Zhou, JL,Wang, H. Minimum entropy of B-spline PDF systems with mean constraint[J]. AUTOMATICA,2006,42(6):989-994.
APA Yue, H,Zhou, JL,&Wang, H.(2006).Minimum entropy of B-spline PDF systems with mean constraint.AUTOMATICA,42(6),989-994.
MLA Yue, H,et al."Minimum entropy of B-spline PDF systems with mean constraint".AUTOMATICA 42.6(2006):989-994.
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