NDLI: Cluster and local mode-dependent H∞ filtering for distributed Markovian jump systems in lossy multi-sensor networks

Content Provider	IET Digital Library
Author	Guan, Yanpeng Ge, Xiaohua Jiang, Xiefu
Abstract	This study addresses an H ∞ filtering problem for distributed Markovian jump systems (DMJSs) in multi-sensor networks with inaccessible global jumping modes, random data losses, random sensing topologies and incomplete mode transition rates (TRs). First, locally overlapped clusters are introduced to reformulate the DMJS to account for the scenario that the global modes of the DMJS are not accessible for filter design. Second, a new cluster and local mode-dependent H ∞ filtering framework is presented to incorporate the simultaneous presence of Markovian data losses and sensing topologies as well as incomplete mode TRs. The proposed H ∞ filters depend on only available information of cluster modes and local modes within this cluster, and thus eliminating the requirement of complete global modes. Third, criteria for designing desired filters are derived to preserve the stochastic stability of the resulting filtering error system under a prescribed H ∞ performance index. The proposed results are shown to be more general by covering some existing results as special cases. Finally, an F404 aircraft engine system is employed to demonstrate the effectiveness of the proposed filter design approach.
Starting Page	295
Ending Page	303
Page Count	9
ISSN	17519675
Volume Number	11
e-ISSN	17519683
Issue Number	Issue 3, May (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/11/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2016.0374
Journal	IET Signal Processing
Publisher Date	2016-11-03
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Aerospace Engines Aerospace Propulsion Cluster Mode-dependent H∞ Filtering Distributed Markovian Jump System F404 Aircraft Engine System Filtering Error System Filtering Method in Signal Processing Global Mode H∞ Filter H∞ Filtering Problem H∞ Performance Index Inaccessible Global Jumping Mode Incomplete Mode Transition Rates Local Mode-dependent H∞ Filtering Locally Overlapped Clusters Lossy Multisensor Network Markov Processes Markovian Data Loss Random Data Loss Random Sensing Topology Sensor Fusion Stochastic Stability
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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