3 accepted papers
This letter presents a data-driven method for constructing a Koopman linear model based on the Direct Encoding (DE) formula. The prevailing methods, Dynamic Mode Decomposition (DMD) and its extensions are based on least squares estimates that can be shown to be biased towards data that are densely p
Model Predictive Control (MPC) of nonlinear hybrid systems using lifting linearization underpinned by Koopman Operator is presented. Unlike standard linearization, which is valid only locally, lifting linearization provides a global linear representation of a nonlinear system in a lifted space. This
Measuring the acoustic characteristics of a space is often done by capturing its impulse response (IR), a representation of how a full-range stimulus sound excites it. This work generates an IR from a single image, which can then be applied to other signals using convolution, simulating the reverber…