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Measure-theoretic invariance entropy for control systems
Wang, Tao1; Huang, Yu1; Sun, Hai Wei2
2019
Source PublicationSIAM Journal on Control and Optimization
ISSN0363-0129
Volume57Issue:1Pages:310-333
Abstract

We introduce two types of measure-theoretic invariance entropies for topological time-invariant control systems. It is shown that these entropies are invariant under conjugacies and there exists a generator for them. We also illustrate that invariance entropies are determined by measure-theoretic invariance entropies. More importantly, we establish two variational principles between topological and measure-theoretic invariance entropies in some special situations.

KeywordInvariance Entropy Invariant Partition Measure-theoretic Invariance Entropy Packing Invariance Entropy Variational Principle
DOI10.1137/18M1197862
URLView the original
Language英語English
WOS IDWOS:000460129700013
Scopus ID2-s2.0-85062690233
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionUniversity of Macau
Affiliation1.School of Mathematics, Sun Yat-sen University, GuangZhou, 510275, China
2.Department of Mathematics, University of Macau, Macao, Russian Federation
Recommended Citation
GB/T 7714
Wang, Tao,Huang, Yu,Sun, Hai Wei. Measure-theoretic invariance entropy for control systems[J]. SIAM Journal on Control and Optimization, 2019, 57(1), 310-333.
APA Wang, Tao., Huang, Yu., & Sun, Hai Wei (2019). Measure-theoretic invariance entropy for control systems. SIAM Journal on Control and Optimization, 57(1), 310-333.
MLA Wang, Tao,et al."Measure-theoretic invariance entropy for control systems".SIAM Journal on Control and Optimization 57.1(2019):310-333.
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