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We present an adaptive steering control design for uncertain cargo ship dynamics subject to input constraints while avoiding performance compromises under changing environmental conditions.
We present an adaptive steering control design for uncertain ship dynamics subject to input constraints while avoiding performance compromises under changing environmental conditions.
Uncertain cargo ship dynamics require robust steering control design techniques potentially reducing the effects of external conditions and minimizing path deviations in case particularly strong lateral wind or wave forces are experienced.
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To this end, the active disturbance rejection control (ADRC) is applied to the steering controller design in this paper.
This paper proposes a switching steering vehicle control designed using the linear quadratic regulator (LQR) problem, the Linear Matrix Inequality (LMI) framework and the H∞ norm.
Next, a model of the radio-controlled car is built by system identification experiments and all automatic steering control system is designed based upon H∞ control theory.
The steering control strategy is designed to simulate the non linear four wheel vehicle model under higher dynamic demands.
The existing steering control methods are rarely designed by explicitly taking the singularity type into account.
The paper proposes a reconfigurable control design of steering and torque vectoring using a variable-geometry suspension system.
On the basis of prior work, a linear controller design is used to control the front steer angle and the resulting steering control loop behaviour is explicitly considered in the prediction model of the outer MPC.
In the paper the robust control design of the independent steering system in a hierarchical structure is presented.
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CEO of Professional Science Editing for Scientists @ prosciediting.com