Minimum Information Variability in Linear Langevin Systems via Model Predictive Control
Adrian-Josue Guel-Cortez,
Eun-jin Kim,
Mohamed W. Mehrez
Abstract:Controlling the time evolution of a probability distribution that describes the dynamics of a given complex system is a challenging problem. Achieving success in this endeavour will benefit multiple practical scenarios, e.g., controlling mesoscopic systems. Here, we propose a control approach blending the model predictive control technique with insights from information geometry theory. Focusing on linear Langevin systems, we use model predictive control online optimisation capabilities to determine the system… Show more
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