Data-driven Model Predictive Control for Cyber-Physical Systems with Gaussian Process Regression

This research introduces a data-driven model predictive control strategy, enhanced by Gaussian Process Regression, tailored for complex cyber-physical systems. The approach offers improved robustness and adaptability for critical applications in areas like autonomous systems, smart grids, and industrial automation.