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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
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Self-Calibration of Nonlinear Signal Model for Angular Position Sensors by Model-Based Automatic Search Algorithm.

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This study introduces a new algorithm for self-calibrating nonlinear signal models in angular position sensors. The novel approach significantly reduces angular errors, improving sensor accuracy.

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2026-06-19T13:38:17.036284+00:00

Keywords:
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