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• W2808072093 abstract "Region tracking controllers are investigated for a swarm of ships which have the limited sensing range. In this control method, all ships can synchronously the moving desired area while avoiding obstacles on the track. In order to keep the inter-connection of dynamic interaction systems, barrier potential function is included which can approach infinity when the argument approaches special limits. Decentralized controllers are designed via function approximation technique, backstepping recursive design methodology, potential functions, and Lyapunov stability analysis theory. Moreover, we introduced the dynamic and constrained target zone to make this problem much more applicable for various situations. The simulated examples are represented to demonstrate the validity of the proposed algorithm." @default.
• W2808072093 created "2018-06-21" @default.
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• W2808072093 date "2018-03-01" @default.
• W2808072093 modified "2023-09-22" @default.
• W2808072093 title "Neural network based adaptive region tracking control for a swarm of ships in constrained space" @default.
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• W2808072093 doi "https://doi.org/10.1109/icaci.2018.8377485" @default.
• W2808072093 hasPublicationYear "2018" @default.
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