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The system combines a driver steering control model, current vehicle states and vehicle-road deviation.
Firstly, a mathematical model of AUV is established, and the mathematical model is subsequently decoupled into three subsystems including speed control model, diving control model and steering control model.
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Using those values, a NN-based steering controller model was designed to generalize the optimal steering for different land-inclinations.
To describe intermittent pulse-like qualities imparted by drivers that are seen in real-world steering measurements, a pulse control model (PCM) is presented for vehicle lane keeping.
In order to effectively avoid elliptic singularities by perturbing gimbal angles, it is desirable to calculate and record the boundaries between elliptic and hyperbolic singularities in advance so that the determined boundaries can be utilized for developing model predictive steering control.
This observation is only consistent with a closed-loop model of steering control.
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.
The system model was used to close the steering control loop based on the feedback signal from the hydraulic steering actuator rather than from the front wheels.
The steering control strategy is designed to simulate the non linear four wheel vehicle model under higher dynamic demands.
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.
This paper presents a driver model based on first-order sliding mode control for the steering control of the vehicle.
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