Cooperative and geometric learning algorithm (CGLA) for path planning of UAVs with limited information

DOI10.1016/J.AUTOMATICA.2013.12.035zbMath1298.93237OpenAlexW1988615714MaRDI QIDQ462353

Baochang Zhang, Jianzhuang Liu, Wanquan Liu, Zhili Mao, Linlin Shen

Publication date: 20 October 2014

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2013.12.035

zbMATH Keywords

path planningUAVlimited information

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Control/observation systems involving computers (process control, etc.) (93C83) Geometric methods (93B27) Decentralized systems (93A14)

Related Items (4)

Event‐triggered adaptive tracking control for high‐order multi‐agent systems with unknown control directions ⋮ Distributed adaptive consensus tracking control for nonlinear multi-agent systems with state constraints ⋮ An artificial moment method for conflict resolutions with robots being close to their targets ⋮ Distributed synchronous cooperative tracking algorithm for ground moving target in urban by UAVs

Uses Software

• Quicksort

Cites Work

• Unnamed Item
• The concept of a linguistic variable and its application to approximate reasoning. I
• Real-time path planning with limited information for autonomous unmanned air vehicles

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