000129632 001__ 129632
000129632 005__ 20241125101124.0
000129632 0247_ $$2doi$$a10.1109/TAC.2023.3331667
000129632 0248_ $$2sideral$$a135894
000129632 037__ $$aART-2023-135894
000129632 041__ $$aeng
000129632 100__ $$0(orcid)0000-0001-9671-4056$$aSebastián, Eduardo$$uUniversidad de Zaragoza
000129632 245__ $$aECO-DKF: Event-Triggered and Certifiable Optimal Distributed Kalman Filter Under Unknown Correlations
000129632 260__ $$c2023
000129632 5060_ $$aAccess copy available to the general public$$fUnrestricted
000129632 5203_ $$aThis paper presents ECO-DKF, the first E vent-Triggered and C ertifiable O ptimal D istributed K alman F ilter. Our algorithm addresses two major issues inherent to Distributed Kalman Filters: (i) fully distributed and scalable optimal estimation and (ii) reduction of the communication bandwidth usage. The first requires to solve an NP-hard optimisation problem, forcing relaxations that lose optimality guarantees over the original problem. Using only information from one-hop neighbours, we propose a tight Semi-Definite Programming relaxation that allows to certify locally and online if the relaxed solution is the optimum of the original NP-hard problem. In that case, ECO-DKF is optimal in the square error sense under scalability and event-triggered one-hop communications restrictions. Additionally, ECO-DKF is a globally asymptotically stable estimator. To address the second issue, we propose an event-triggered scheme from the relaxed optimisation output. The consequence is a broadcasting-based algorithm that saves communication bandwidth, avoids individual communication links and multiple information exchanges within instants, and preserves the optimality and stability properties of the filter.
000129632 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000129632 590__ $$a6.2$$b2023
000129632 592__ $$a4.501$$b2023
000129632 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b44 / 353 = 0.125$$c2023$$dQ1$$eT1
000129632 591__ $$aAUTOMATION & CONTROL SYSTEMS$$b12 / 84 = 0.143$$c2023$$dQ1$$eT1
000129632 593__ $$aElectrical and Electronic Engineering$$c2023$$dQ1
000129632 593__ $$aControl and Systems Engineering$$c2023$$dQ1
000129632 593__ $$aComputer Science Applications$$c2023$$dQ1
000129632 594__ $$a11.3$$b2023
000129632 655_4 $$ainfo:eu-repo/semantics/conferenceObject$$vinfo:eu-repo/semantics/acceptedVersion
000129632 700__ $$0(orcid)0000-0002-5176-3767$$aMontijano, Eduardo$$uUniversidad de Zaragoza
000129632 700__ $$0(orcid)0000-0002-3032-954X$$aSagüés, Carlos$$uUniversidad de Zaragoza
000129632 7102_ $$15007$$2520$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Ingen.Sistemas y Automát.
000129632 773__ $$g(2023), 1-8$$pIEEE trans. automat. contr.$$tIEEE TRANSACTIONS ON AUTOMATIC CONTROL$$x0018-9286
000129632 8564_ $$s1070007$$uhttps://zaguan.unizar.es/record/129632/files/texto_completo.pdf$$yPostprint
000129632 8564_ $$s3818025$$uhttps://zaguan.unizar.es/record/129632/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000129632 909CO $$ooai:zaguan.unizar.es:129632$$particulos$$pdriver
000129632 951__ $$a2024-11-22-11:57:13
000129632 980__ $$aARTICLE