A collaborative control framework with multi-leaders for AUVs based on unscented particle filter

DOI10.1016/J.JFRANKLIN.2015.11.016zbMath1395.93265OpenAlexW2200106645MaRDI QIDQ1660956

Wen Xing, Peng Shi, Yunxin Zhao, Huarun Yuan

Publication date: 16 August 2018

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2015.11.016

zbMATH Keywords

autonomous underwater vehiclecollaborative controlmulti-leadersunscented particle filter

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Nonlinear systems in control theory (93C10) Decentralized systems (93A14)

Related Items (2)

Discrete Laguerre-based model predictive control for dynamic consensus of a vehicle platoon with time delay ⋮ Adaptive event-triggered based fault detection filtering for unmanned surface vehicles under DoS attacks

Cites Work

• Event based guaranteed cost consensus for distributed multi-agent systems
• Leader-following consensus of a class of stochastic delayed multi-agent systems with partial mixed impulses
• H_∞ filtering for impulsive networked control systems with random packet dropouts and randomly occurring nonlinearities
• Robust consensus algorithm for second-order multi-agent systems with external disturbances
• Notice of Violation of IEEE Publication Principles: Robust Delay-Dependent $H_{\infty}$ Control of Uncertain Time-Delay Systems With Mixed Neutral, Discrete, and Distributed Time-Delays and Markovian Switching Parameters

This page was built for publication: A collaborative control framework with multi-leaders for AUVs based on unscented particle filter