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In this study, a 3D underwater simulation environment named NEMOCAT is presented as a tool to test and tune control architectures for Autonomous Underwater Vehicles (AUV).
A generic tail-fin steered missile under closed-loop control is used to show that the framework is able to generate a detailed geometrical tail-fin design and tune control performance parameters that are directly related to the range and manoeuvrability of the missile.
It also demonstrates that whole genome sequencing can provide new insights into tuberculosis epidemics, which could be used to advise and fine tune control programs.
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Each notes table is originally set to white noise, where the tune controls the type of sound that is outputted.
The analyses and the algorithm for the auto-tuning control are developed.
Simulation results under model uncertainties show the effectiveness of the self-tuning control concept.
This paper proposes a novel MCFC operation framework based on PID auto-tuning control.
Two methods based on self – tuning control utilizing adaptive approach are discussed.
The adaptation mechanism is based on STC(Self Tuning Control) algorithms.
Much of the work reported on continuous time self tuning control addresses the class of systems with known time delay.
In this paper specific aspects of the tuning control system, related to recent conceptual and engineering effort [K.
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CEO of Professional Science Editing for Scientists @ prosciediting.com