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Steering control for vehicle lane keeping has attracted significant attention from both automotive industries and researchers.
The problem of automatic steering control for electric automotive vehicles is considered.
In this article, a robust steering control for the last phase of the rolling process in a hot strip mill is proposed.
A nested PID steering control for autonomous vehicles equipped with artificial vision systems is designed so that the driver can override the automatic lane-keeping action and obtain a complete control of the vehicle lateral dynamics without any switching strategy.
This application requires a steering control for simulating a realistic nonlinear four-wheel vehicle model and for performing a speed extrapolation test to evaluate the physical limits of a vehicle in a bend.
A four-wheels configuration with slip steering was chosen; to compare this solution with the more conventional strategy based on steering wheels, simulations were performed on some trajectories computed through the well known 'potential' method, using both slip steering and conventional steering control, for different vehicle speeds.
Similar(53)
This paper presents a driver model based on first-order sliding mode control for the steering control of the vehicle.
Both the second and third approach, however, do not allow for separate steering control of micro and macro UEs.
In this paper, the design and implementation of a fuzzy logic system for the steering control of autonomous vehicles inside the roundabout is proposed.
This paper presents two different kinds of steering control strategies for a system of extended nonholonomic double integrator, which is an example of nonholonomic control systems with drift.
We present an adaptive steering control design for uncertain cargo ship dynamics subject to input constraints while avoiding performance compromises under changing environmental conditions.
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CEO of Professional Science Editing for Scientists @ prosciediting.com