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--- abstract: 'In this paper, we propose an approach for distributed estimation algorithm using Bayesian-based forward backward (FB) Kalman filter (KF) used on a stochastic singular linear system. The approach incorporates generalized versions of KF presented for cases with complete or incomplete a-priori information with bounds, followed by estimation fusion for these cases. The proposed approach is then validated on a coupled tank system to ensure its effectiveness.' altloc: [] chapter: ~ commentary: ~ commref: ~ confdates: ~ conference: ~ confloc: ~ contact_email: ~ creators_id: - ~ - harism.khalid@yahoo.com creators_name: - family: Mahmoud given: 'Magdi S. ' honourific: Professor lineage: '' - family: Khalid given: 'Haris M. ' honourific: 'Dr. ' lineage: '' date: 2012-07 date_type: submitted datestamp: 2013-05-04 23:07:22 department: ~ dir: disk0/00/00/89/09 edit_lock_since: ~ edit_lock_until: 0 edit_lock_user: ~ editors_id: [] editors_name: [] eprint_status: archive eprintid: 8909 fileinfo: /style/images/fileicons/application_pdf.png;/8909/1/MsM-KFUPM-PrKnowEst-IET-SP%5BR-II%5D.pdf full_text_status: public importid: ~ institution: ~ isbn: ~ ispublished: ~ issn: ~ item_issues_comment: [] item_issues_count: ~ item_issues_description: [] item_issues_id: [] item_issues_reported_by: [] item_issues_resolved_by: [] item_issues_status: [] item_issues_timestamp: [] item_issues_type: [] keywords: 'Kalman filtering, Bayesian approach, a-priori information, stochastic singular linear system, distributed estimation, coupled tank system.' lastmod: 2013-05-04 23:07:22 latitude: ~ longitude: ~ metadata_visibility: show note: ~ number: ~ pagerange: ~ pubdom: TRUE publication: ~ publisher: ~ refereed: TRUE referencetext: ~ relation_type: [] relation_uri: [] reportno: ~ rev_number: 8 series: ~ source: ~ status_changed: 2013-05-04 23:07:22 subjects: - comp-sci-mach-dynam-sys succeeds: ~ suggestions: ~ sword_depositor: ~ sword_slug: ~ thesistype: ~ title: Distributed Estimation Based on Prior Information type: preprint userid: 19829 volume: ~