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The mathematical model of the robot is discussed, and a steering method is developed to achieve full motion capabilities.
A problem of in-situ visualization is that it loses interactivity if a steering method is not adopted.
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In [21], a steering vector estimation method is developed based on maximum output power criterion and subspace rotation.
Then, considering the nonlinear characteristics of the tire force and external disturbance, a robust yaw rate control method is designed by applying a steering motor to generate an active steering angle to adjust the yaw stability of the vehicle.
The method is implemented with two steering schedules.
Thus, it has been proved that the life time of the network adopting PODB method is longer than that adopting null-steering method.
It has been found that the RPE method is a good method to online identify the ship steering dynamics and the optimal autopilot has very good steering characteristics.
This method is demonstrated on the preform shape optimization of a geometrically complex 3-D steering link.
The estimation method is then linked to the Linear Quadratic (LQ) Algorithm to design an optimal autopilot for steering ships.
The existing steering control methods are rarely designed by explicitly taking the singularity type into account.
A dense configurable source-receiver array (with beam steering via phased array methods) is employed, with vertical stacking to suppress incoherent noise and adaptive classification filters to detect and image the diffuse character of formations.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com