Resumen: This work is devoted to the problem of distributed target tracking when a team of robots detect the target through a variable perception-latency mechanism. A reference for the robots to track is constructed in terms of a desired formation around the estimation of the target position. However, it is noted that due to the perception-latency, classical estimation techniques have smoothness issues which prevent asymptotic stability for the formation control. We propose a near-optimal smooth-output estimator which circumvents this issue. Moreover, local estimations are fused using novel dynamic consensus techniques. The advantages of the proposal as well as a comparison with a non-smooth optimal alternative are discussed through simulation examples. Idioma: Inglés DOI: 10.1016/j.inffus.2023.101857 Año: 2023 Publicado en: Information Fusion 99 (2023), 101857 [9 pp.] ISSN: 1566-2535 Factor impacto JCR: 14.8 (2023) Categ. JCR: COMPUTER SCIENCE, THEORY & METHODS rank: 2 / 144 = 0.014 (2023) - Q1 - T1 Categ. JCR: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE rank: 4 / 197 = 0.02 (2023) - Q1 - T1 Factor impacto CITESCORE: 33.2 - Information Systems (Q1) - Signal Processing (Q1) - Software (Q1) - Hardware and Architecture (Q1)