Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/113797
Citations
Scopus Web of Science® Altmetric
?
?
Full metadata record
DC FieldValueLanguage
dc.contributor.authorLin, H.-
dc.contributor.authorSu, H.-
dc.contributor.authorShi, P.-
dc.contributor.authorShu, Z.-
dc.contributor.authorLu, R.-
dc.contributor.authorWu, Z.-
dc.date.issued2017-
dc.identifier.citationIEEE Transactions on Automatic Control, 2017; 62(9):4564-4579-
dc.identifier.issn0018-9286-
dc.identifier.issn1558-2523-
dc.identifier.urihttp://hdl.handle.net/2440/113797-
dc.descriptionDate of publication February 22, 2017-
dc.description.abstractIn this paper, we study the problems of optimal estimation and control, i.e., the linear quadratic Gaussian (LQG) control, for systems with packet losses but without acknowledgment. Such acknowledgment is a signal sent by the actuator to inform the estimator of the incidence of control packet losses. For such system, which is usually called as a user datagram protocol (UDP)-like system, the optimal estimation is nonlinear and its calculation is timeconsuming, making its corresponding optimal LQG problem complicated. We first propose two conditions: 1) the sensor has some computation abilities; and 2) the control command, exerted to the plant, is known to the sensor. For a UDP-like system satisfying these two conditions, we derive the optimal estimation. By constructing the finite and infinite product probability measure spaces for the estimation error covariances (EEC), we give the stability condition for the expected EEC, and show the existence of a measurable function to which the EEC converges in distribution, and propose some practical methods to evaluate the estimation performance. Finally, the LQG controllers are derived, and the conditions for the mean square stability of the closedloop system are established.-
dc.description.statementofresponsibilityHong Lin, Hongye Su, Peng Shi, Zhan Shu, Renquan Lu, and Zheng-Guang Wu-
dc.language.isoen-
dc.publisherIEEE-
dc.rights© 2017 IEEE-
dc.source.urihttp://dx.doi.org/10.1109/tac.2017.2672729-
dc.subjectLinear quadratic Gaussian (LQG); networked control systems; optimal estimation and control; packet loss; smart sensor; user datagram protocol (UDP)- like system-
dc.titleOptimal estimation and control for lossy network: stability, convergence, and performance-
dc.typeJournal article-
dc.identifier.doi10.1109/TAC.2017.2672729-
dc.relation.grant61573112-
dc.relation.grantU1509217-
dc.relation.grant61673339-
dc.relation.granthttp://purl.org/au-research/grants/arc/DP170102644-
dc.relation.grantR1100716-
dc.relation.grantLR16F030001-
pubs.publication-statusPublished-
dc.identifier.orcidShi, P. [0000-0001-8218-586X]-
Appears in Collections:Aurora harvest 8
Electrical and Electronic Engineering publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.