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In this paper we develop a nonlinear observer to estimate the concentration of reactants in a kinetic network when kinetic rate constants are unknown. When kinetic rate constants are unknown a steady-state error is present in the observer states. We thus develop an augmented observer that accounts for this steady-state error. We demonstrate this technique on numerical examples of increasing complexity,...
In this paper we use a retrospective correction filter (RCF) to identify MIMO LTI systems. This method uses an adaptive controller in feedback with an initial model. The goal is to adapt the closed-loop response of the system to match the response of an unknown plant to a known input. We demonstrate this method on numerical examples of increasing complexity where the initial model is taken to be a...
In this paper we recursively estimate the magnetic and electric potential of the Earth??s Arctic region. We construct estimates based on data gathered from over 85 magnetometer sources and several radar sites dispersed around the North Pole. The approach to estimating the Arctic polar cap electric potential is through data assimilation based on linear and nonlinear Kalman filters. We demonstrate that...
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