Algorithmic Optimal Control - CO2 Uptake of the Ocean

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PhD thesis:

The goal of the dissertation is to apply the linear quadratic optimal Regulator on Ocean models of different complexity describing physical and biochemical processes in the Ocean. The model I'm currently working on is a  one dimensional marine biogeochemical model of NPZD-typ. The model simulates the distribultion of nitrogen, phytoplankton, zooplankton and detrtus in a Water column and is driven by ocean circulation data.The aim is to identify time-varying parameters and fit the model output to given observational data.The task of an optimal control problem is to minimize a given cost functional (quadratic) subject to a (nonlinear) system, linearize the nonlinear state equation and solve linearized time-variant problem by using a linear Quadratic regulator (LQR) problem and results in the solution of two algebraic Riccati Equation (ARE).

CV:

since 02/08: Researcher, PhD student, Institut für Informatik, Christian-Albrechts-Universität zu Kiel, Deutschland, Junior Research Group A3: Algorithmische Optimale Steuerung - CO2-Aufnahme des Ozeans, supervisor: Prof. Dr. Thomas Slawig
05/09:  Workshop" Optimale Steuerung", Fes, Marokko
06/07: Diploma thesis (Mathematics) supervisor: Prof. Dr. Peter Kosmol: "Optimale lineare quadratische Regelung"
05/05: Vordiplom Informatik
04/03–06/07: Study in Mathematics (Diplom)  Universität Kiel, minor: Informatics
04/02--03/03: Study in Informatics (Diplom)  Universität Kiel, minor: Mathematics