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Brenton R. Simon

Researcher at University of California, Irvine

Publications -  15
Citations -  400

Brenton R. Simon is an academic researcher from University of California, Irvine. The author has contributed to research in topics: Tuning fork & Gyroscope. The author has an hindex of 10, co-authored 15 publications receiving 328 citations. Previous affiliations of Brenton R. Simon include University of California.

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High Quality Factor Resonant MEMS Accelerometer With Continuous Thermal Compensation

TL;DR: In this paper, the authors report a new silicon Microelectromechanical systems (MEMS) accelerometer based on differential frequency modulation (FM) with experimentally demonstrated thermal compensation over a dynamic temperature environment and the Allan deviation of bias.
Proceedings ArticleDOI

Flat is not dead: Current and future performance of Si-MEMS Quad Mass Gyro (QMG) system

TL;DR: In this paper, the authors present detailed performance status, modeling, and projections for the silicon MEMS Quadruple Mass Gyroscope (QMG) -a unique high Q, lumped mass, mode-symmetric Class II CVG with interchangeable whole angle, self-calibration, and force rebalance mechanizations.
Journal ArticleDOI

Quality Factor Maximization Through Dynamic Balancing of Tuning Fork Resonator

TL;DR: Zotov et al. as discussed by the authors presented a method of dynamically balancing tuning fork microresonators, enabling maximization of quality factor Q-factor (Q-factor) in structures with imperfections.
Proceedings ArticleDOI

Utilization of mechanical quadrature in silicon MEMS vibratory gyroscope to increase and expand the long term in-run bias stability

TL;DR: In this article, a new approach for improvement of the bias stability of Coriolis vibratory gyroscopes is proposed, which is based on utilization of the mechanical quadrature error in gyroscope to compensate for variation in system parameters.
Proceedings ArticleDOI

Silicon accelerometer with differential Frequency Modulation and continuous self-calibration

TL;DR: In this paper, a new silicon MEMS accelerometer based on differential frequency modulation (FM) with experimentally demonstrated self-calibration against dynamic temperature environment and μg-level Allan deviation of bias is presented.