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Du, Zhe (author), Negenborn, R.R. (author), Reppa, V. (author)
Transportation of a large offshore platform from inland waters to the open sea is a hazardous and challenging mission. With the development of the autonomous surface vessel (ASV), the problem of large floating object transportation has a chance to be solved by applying multiple physical-connected autonomous tugboats. This article proposes a...
journal article 2023
document
Wang, Le (author), Li, Shijie (author), Liu, Jialun (author), Wu, Qing (author), Negenborn, R.R. (author)
Autonomous docking and undocking control is an important part of intelligent ship motion control. In this study, the adaptive-mutation beetle swarm prediction (AMBS-P) algorithm is used to propose a control approach for autonomous docking and undocking. Firstly, this paper introduces the principle of the AMBS-P algorithm, then the convergence...
journal article 2022
document
Larsen, R.B. (author), Atasoy, B. (author), Negenborn, R.R. (author)
Controlling systems with both continuous and discrete actuators using model predictive control is often impractical, since mixed-integer optimization problems are too complex to solve sufficiently fast. This paper proposes a parallelizable method to control both the continuous input and the discrete switching signal for linear switched...
journal article 2020
document
Xie, S. (author), Garofano, V. (author), Chu, Xiumin (author), Negenborn, R.R. (author)
Real-time collision avoidance with full consideration of ship maneuverability, collision risks and International Regulations for Preventing Collisions at Sea (COLREGs) is difficult in multi-ship encounters. To deal with this problem, a novel method is proposed based on model predictive control (MPC), an improved Q-learning beetle swarm...
journal article 2019
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