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View article: A POD approach to identify and control PDEs online through State Dependent Riccati equations
A POD approach to identify and control PDEs online through State Dependent Riccati equations Open
We address the control of Partial Differential equations (PDEs) with unknown parameters. Our objective is to devise an efficient algorithm capable of both identifying and controlling the unknown system. We assume that the desired PDE is ob…
View article: Online identification and control of PDEs via Reinforcement Learning methods
Online identification and control of PDEs via Reinforcement Learning methods Open
We focus on the control of unknown Partial Differential Equations (PDEs). The system dynamics is unknown, but we assume we are able to observe its evolution for a given control input, as typical in a Reinforcement Learning framework. We pr…
View article: A New Algorithm for the LQR Problem with Partially Unknown Dynamics
A New Algorithm for the LQR Problem with Partially Unknown Dynamics Open
View article: A New Algorithm for the LQR Problem with Partially Unknown Dynamics
A New Algorithm for the LQR Problem with Partially Unknown Dynamics Open
We consider an LQR optimal control problem with partially unknown dynamics. We propose a new model-based online algorithm to obtain an approximation of the dynamics $and$ the control at the same time during a single simulation.