Fossen's Marine Systems Simulator
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Updated
Oct 15, 2022 - Python
Fossen's Marine Systems Simulator
Linear, Extended & Unscented Kalman filter Fusion Models for 2D tracking
Implemented pole placement and linear quadratic regulator on several real-world systems.
This Mathematica notebook provides development of a Forward Kinematic model, Inverse Kinematic Model, and Dynamic model using Generalized Momenta method of a Universal Omni Wheeled mobile robot. Also, a PID trajectory tracking controller was developed to track different trajectories with very small error.
Optimal LQR control for drone landing using MATLAB, emphasizing strategic pole placement for precise descent.
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