2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM) 2017
DOI: 10.1109/aim.2017.8014103
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Higher-harmonic AFM imaging with a high-bandwidth multifrequency Lyapunov filter

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Cited by 10 publications
(12 citation statements)
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“…In the multifrequency force microscopy (MFFM), multiple cantilever frequencies (higher harmonics and/or higher flexural eigenmodes) are excited to provide information about the tip-sample nonlinearities are recorded [ 113 , 114 ]. With MFFM, there is a potential of overcoming many hurdles including high throughput, material properties, and spatial resolution.…”
Section: Modes Of Operations Of Cantilever-based Afmmentioning
confidence: 99%
“…In the multifrequency force microscopy (MFFM), multiple cantilever frequencies (higher harmonics and/or higher flexural eigenmodes) are excited to provide information about the tip-sample nonlinearities are recorded [ 113 , 114 ]. With MFFM, there is a potential of overcoming many hurdles including high throughput, material properties, and spatial resolution.…”
Section: Modes Of Operations Of Cantilever-based Afmmentioning
confidence: 99%
“…The Lyapunov filter [33,35,36] also uses a model-based feedback approach to obtain amplitude and phase of signals at desired frequencies. Under certain conditions, the Lyapunov filter has been shown to be equivalent to the Kalman filter [33].…”
Section: Lyapunov Filtermentioning
confidence: 99%
“…This system representation has been shown to perform similarly to the Kalman filter [28], which is advantageous given its imple- mentation simplicity. Recently, it has been used for higherharmonic AFM for both amplitude and phase-contrast imaging [35,36].…”
Section: Lyapunov Filtermentioning
confidence: 99%
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“…The demand for a high tracking bandwidth while maintaining insensitivity to additional frequencies in the signal has motivated the development of filters such as the time-varying Kalman filter [ 44 ] and Lyapunov filter [ 45 46 ]. These methods are based on a linear parametric model of the cantilever deflection signal and were shown to be extendable for the estimation of multiple frequencies for multifrequency AFM [ 47 49 ].…”
Section: Introductionmentioning
confidence: 99%