@inbook{e4417cca053e4d34966ac81c162cc40b,
title = "Zonotopic Velocity Sensor Fault Detection for Autonomous Underwater Vehicle: An LMI Approach",
abstract = "In this paper, a novel zonotopic velocity sensor fault detection approach for autonomous underwater vehicles is presented. To make the generated residual robust against disturbance, we develop a fault detection observer based on H∞ performance index. Sufficient design conditions are formulated in terms of linear matrix inequalities. Fault detection is accomplished by checking whether the zero point lies outside the residual zonotope. The performance of the presented approach is analyzed via a minimum detectable fault set. Simulation examples are given to validate the effectiveness and feasibility of the presented approach.",
author = "Jitao Li and Yuxi Liu and Yushi Zhang and Mingjun Zhang and Zhenhua Wang",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.",
year = "2026",
doi = "10.1007/978-3-031-94239-6\_7",
language = "英语",
series = "Mathematical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "169--188",
booktitle = "Mathematical Engineering",
address = "德国",
}