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We present a novel path planner for adaptive behaviour of an Autonomous Underwater Vehicle (AUV). A behaviour-based architecture forms the foundation of the system with an extra layer which uses experience to learn a policy for modulating the behaviours' weights. In effect, this creates an abstract environment for the Reinforement Learning (RL) agent's state and action space. Subsequently, it simplifies...
Recent reports have shown high-frequency (HF) radar measurements of tsunami signatures as the disturbance propagates from deep water to shallow water across the edge of the continental shelf. Most HF radars are optimised in various ways to measure seasonal circulation, tidal currents or sub-tidal structures. The new data provide the basis for the design of an optimised HF radar installation for the...
The ability of unmanned surface vehicles (USVs) to maintain a fixed orientation and position for an extended period of time is essential for a variety of applications such as acoustic and optical localization and automated launch and recovery of other systems. The need for station-keeping capabilities on USVs requires collaboration between the controller and the propulsion system, both designed to...
Since the early ages tropical insular societies have lived on the oceans edge depending on it for essential functions ranging from transportation and nourishment to recreation. These services are also accompanied by the risk posed by hazardous winds, waves, currents, storm surge and tsunamis. In recent times coastal societies have also faced the risk of losing valuable services provided by the ocean...
Cyclonic phenomena are very complex, being characterized by different tracks, different maximum wind velocity during cyclone evolution, different wind field distributions, different durations. During the design of structure at a particular location, determining the cyclone associated to a certain return period at that site remains an hard task. In this paper, a rigorous methodology is outlined, based...
This paper presents a model predictive approach to achieve power demand reduction in dynamic positioning operations. The MPC supervision, together with a relaxed operational constraint, is able to reduce the overall power demand in terms of mean, peak and frequency components.
With the increasing tendency of natural hazards, the typhoon, hurricane and tropical cyclone induced surge, wave, precipitation, flood and wind as extreme external loads menaced Nuclear Power Plants (NPP) in coastal provinces of China. For all of constructed NPP in China the National Nuclear Safety Administration of China and IAEA recommended Probable Maximum Hurricane /Typhoon/(PMH/T), Probable Maximum...
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