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• W4386883485 abstract "A nonsmooth dynamic filtering strategy with the frame of unscented Kalman filter (UKF) is proposed for state estimation of electromagnetic scanning micromirrors (ESM) contaminated by random noise. In this method, a stochastic nonsmooth sandwich state-space model with rate-dependent hysteresis is developed to depict the characteristics of the ESM disturbed by random noise. Then, the UKF scheme for the state estimation of ESM system is developed. Afterward, the convergence is provided. Subsequently, a simulated example is illustrated to evaluate the behavior of the proposed filtering method. Finally, experimental results to the state estimation of an ESM are presented." @default.
• W4386883485 created "2023-09-21" @default.
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• W4386883485 date "2023-07-17" @default.
• W4386883485 modified "2023-10-12" @default.
• W4386883485 title "State Estimation of Electromagnetic Scanning Micro-Mirrors Using Unscented Kalman Filtering Method^*" @default.
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• W4386883485 doi "https://doi.org/10.1109/rcar58764.2023.10249277" @default.
• W4386883485 hasPublicationYear "2023" @default.
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