Gaussian Process-Based Learning Model Predictive Control With Application to Flywheel Battery System
Abstract: The flywheel battery system is extremely sensitive to its own time-varying nonlinear characteristics and random disturbances in actual operating conditions. The traditional model predictive ...
Abstract: Two main issues associated with Model Predictive Control (MPC) are learning the unknown dynamics of the system and handling model uncertainties. In this paper, unknown Linear Time-Varying ...
Modeling counterparty risk is computationally challenging because it requires the simultaneous evaluation of all trades between each counterparty under both market and credit risk. We present a ...
Thank you for providing this great repository. I have one questions about optimization. In the paper, when search MOFs having maximum properties in the latent space, the gaussian process model was ...
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