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state-feedback

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The Project involves 3 typical convex optimization problems in control and the SDP (Semi-definite Programming) form or in other words the LMI (Linear Matrix Inequalities) form of each problem is achieved analytically and then the SDP optimization problems are solved in MATLAB using MATLAB CVX toolbox.

  • Updated Nov 18, 2021
  • MATLAB

Modern control design for a nonlinear quadrotor system, including state feedback, LQR, full- and reduced-order observers, Kalman filtering, and digital implementation.

  • Updated Jul 14, 2026

State-space modeling, feedback control and dynamic simulation in Python and MATLAB. Explore pole placement, PI state feedback and LQR across five system models, with animated responses, automated tests and Simulink cross-check scripts.

  • Updated Oct 14, 2026
  • Python

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