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Koopman Operator Theory And The Applied Perspective Of Modern Data-Driven Systems, Alex Krolicki
Koopman Operator Theory And The Applied Perspective Of Modern Data-Driven Systems, Alex Krolicki
All Theses
Recent theoretical developments in dynamical systems and machine learning have allowed researchers to re-evaluate how dynamical systems are modeled and controlled. In this thesis, Koopman operator theory is used to model dynamical systems and obtain optimal control solutions for nonlinear systems using sampled system data. The Koopman operator is obtained using data generated from a real physical system or from an analytical model which describes the physical system under nominal conditions. One of the critical advantages of the Koopman operator is that the response of the nonlinear system can be obtained from an equivalent infinite dimensional linear system. This is …