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The proposed adaptive inverse position control scheme for the SRM can be divided into the design of two control loops.
Firstly, the inverse position equations are formed, and the velocity equation containing the actuator and the end effector (platform) velocities, and Jacobian matrices is derived.
In this paper, adaptive inverse position control is applied to switched reluctance motor (SRM) with simplified interval type-2 fuzzy neural networks (SIT2FNNs).
The inverse position problem is to find the values of d1, d2, d3, and (theta) with the moving platform parameters (alpha), (beta), and t given.
Second, the inverse position formulation is established; a constrained optimisation algorithm based on the condition number of the manipulator Jacobian matrix over the entire workspace of the manipulator is employed to determine design parameters.
Targeting for the application of five-face machining, the detailed kinematic analysis of the manipulator is developed, which includes the closed-form solutions of inverse position problems, the singularity, dexterity, workspace and tilting capability.
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Abdominal computed tomography (CT) showed a 45-mm tumor in the upper stomach with no evidence of distant metastases, a hepatic cyst, and inverse positioning of all intra-abdominal organs (Fig. 2).
In order to relate the image coordinates of features in the camera view to their ground plane positions, inverse perspective projection is performed.
The front leg of the insect was fixed with a tarsus in a normal (inverse) standing position to the cone of a minishaker (4810; Bruel & Kjaer).
With the model, the inverse and forward position analyses are carried out, upon which the dexterity performance in terms of conditioning index is evaluated and analyzed.
with 'shift' S (the inverse to the position-frequency map, see the section 'Background').
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