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Observer design for positive fractional-order interconnected time-delay systems
journal contribution
posted on 2019-01-01, 00:00 authored by Hieu TrinhHieu Trinh, D C Huong, Saeid NahavandiThis paper considers the problem of designing positive reduced-order distributed functional observers for positive fractional-order interconnected time-delay systems. The systems under consideration belong to a class of large-scale fractional-order systems where each system is formed by (Formula presented.) ( (Formula presented.) ) interconnected subsystems with heterogeneous time delays in the interconnections and the local state vectors. First, a necessary and sufficient condition to ensure the positivity of the considered system is derived. Based on this result, (Formula presented.) stand-alone reduced-order positive distributed functional observers for the system are designed. These observers are always nonnegative at any time and they converge asymptotically to the true functional state vectors of the system. The designed observer for each subsystem is based on the local outputs and additional outputs from other subsystems but without the need to exchange the state estimates among the observers. Conditions for the existence of such positive distributed functional observers are derived and they are translated into a linear programming problem. Finally, the effectiveness of the proposed design method is supported by four numerical examples and simulation results.
History
Journal
Transactions of the institute of measurement and controlVolume
41Issue
2Pagination
378 - 391Publisher
Sage PublicationsLocation
London, Eng.Publisher DOI
ISSN
0142-3312Language
engPublication classification
C1 Refereed article in a scholarly journalCopyright notice
2018, The Author(s)Usage metrics
Keywords
Linear programmingpositive fractional-order systemspositive fractional-order interconnected systemspositive linear functional observertime-delay systemsScience & TechnologyTechnologyAutomation & Control SystemsInstruments & Instrumentationpositive linear functional observersSTATE ESTIMATIONLINEAR-SYSTEMSSTABILITYSTABILIZATIONArtificial Intelligence and Image Processing
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