000136139 001__ 136139
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000136139 0247_ $$2doi$$a10.1016/j.jfranklin.2024.106988
000136139 0248_ $$2sideral$$a139129
000136139 037__ $$aART-2024-139129
000136139 041__ $$aeng
000136139 100__ $$aDe Villeros, P.
000136139 245__ $$aRobust fixed-time distributed optimization with predefined convergence-time bound
000136139 260__ $$c2024
000136139 5060_ $$aAccess copy available to the general public$$fUnrestricted
000136139 5203_ $$aThis paper introduces a distributed optimization scheme for achieving formation control in multi-agent systems operating under switching networks and external disturbances. The proposed approach utilizes the zero-gradient sum property and consists of two steps. First, it guides each agent towards the minimizer of its respective local cost function. Subsequently, it achieves a formation around the minimizer of the global cost function. The distributed optimization scheme guarantees convergence before a predefined time, even under simultaneous switching networks and external disturbances, distinguishing it from existing finite and fixed-time schemes. Moreover, the algorithm eliminates the need for agents to exchange local gradients or Hessians of the cost functions or even prior knowledge of the number of agents in the network. Additionally, the proposed scheme copes with external disturbances using integral sliding modes. The scheme’s effectiveness is validated through an application to distributed source localization, for which several numerical results are provided.
000136139 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttps://creativecommons.org/licenses/by/4.0/deed.es
000136139 590__ $$a4.2$$b2024
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000136139 591__ $$aENGINEERING, MULTIDISCIPLINARY$$b28 / 179 = 0.156$$c2024$$dQ1$$eT1
000136139 593__ $$aApplied Mathematics$$c2024$$dQ1
000136139 591__ $$aMATHEMATICS, INTERDISCIPLINARY APPLICATIONS$$b12 / 136 = 0.088$$c2024$$dQ1$$eT1
000136139 593__ $$aSignal Processing$$c2024$$dQ1
000136139 591__ $$aAUTOMATION & CONTROL SYSTEMS$$b25 / 89 = 0.281$$c2024$$dQ2$$eT1
000136139 593__ $$aControl and Systems Engineering$$c2024$$dQ1
000136139 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b109 / 368 = 0.296$$c2024$$dQ2$$eT1
000136139 593__ $$aComputer Networks and Communications$$c2024$$dQ1
000136139 594__ $$a6.3$$b2024
000136139 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000136139 700__ $$0(orcid)0000-0001-6939-6523$$aAldana-López, R.$$uUniversidad de Zaragoza
000136139 700__ $$aSánchez-Torres, J.D.
000136139 700__ $$aDefoort, M.
000136139 700__ $$aLoukianov, A.G.
000136139 7102_ $$15007$$2520$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Ingen.Sistemas y Automát.
000136139 773__ $$g361, 13 (2024), 106988 [13 pp.]$$pJ. Franklin Inst.$$tJOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS$$x0016-0032
000136139 8564_ $$s4317837$$uhttps://zaguan.unizar.es/record/136139/files/texto_completo.pdf$$yVersión publicada
000136139 8564_ $$s1967106$$uhttps://zaguan.unizar.es/record/136139/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000136139 909CO $$ooai:zaguan.unizar.es:136139$$particulos$$pdriver
000136139 951__ $$a2026-02-12-20:41:31
000136139 980__ $$aARTICLE