Control, forecasting and optimisation for wave energy conversion
John V. Ringwood, Giorgio Bacelli, et al.
IFAC 2014
Multi-frequency atomic force microscopy (MF-AFM), employing the detection and/or excitation of multiple cantilever frequencies, has shown great promise in increasing the compositional sensitivity, and the spatial and temporal resolution of imaging. The multitude of frequency components generated in MF-AFM encode information about the tip-sample nonlinearity. For quantitative interpretation of the observables in MF-AFM operation, we propose a two-pronged approach combining special-purpose cantilevers and a system-theoretic modeling paradigm. This provides an excellent framework to understand and leverage the nonlinear dynamics of the interaction of a multi-eigenmodal cantilever with the nonlinear force potentials on the sample surface, to develop novel imaging methods. We describe experimental techniques for accurate in-situ identification of the cantilever (sensor/actuator) transfer functions, which are crucial components to understand the generation of MF-AFM observables. The modeling framework is verified with experiments and is shown to be able to predict several key features of MF-AFM operation.
John V. Ringwood, Giorgio Bacelli, et al.
IFAC 2014
Donghoon Kim, Minsoo Kim, et al.
Nature Communications
Christophe Fumeaux, Glenn D. Boreman, et al.
Applied Optics
Angeliki Pantazi, Mark A. Lantz
IFAC 2014