Design and simulation optimal controllers for SEPIC converter. Used Model Kalman filtering, also known as linear quadratic estimation (LQE) for recovering the states. Compare two controllers: A linear-quadratic regulator (LQR) and a predictive control (MPC) . The calculations made on Matlab, and simulated on Simulink
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Designed and simulated the optimal controllers for SEPIC converter. Used Model Kalman filtering, also known as Linear Quadratic Estimation (LQE) for recovering the states. Compare two controllers: A Linear-Quadratic Regulator (LQR) and a Model Predictive Control (MPC) . The calculations made on Matlab, and simulated on Simulink.
bermeom/optimal-control-SEPIC-converter
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Designed and simulated the optimal controllers for SEPIC converter. Used Model Kalman filtering, also known as Linear Quadratic Estimation (LQE) for recovering the states. Compare two controllers: A Linear-Quadratic Regulator (LQR) and a Model Predictive Control (MPC) . The calculations made on Matlab, and simulated on Simulink.
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