Advanced Control

Curated repository of materials from four advanced control disciplines:

• SEL0367 — Adaptive Control
• SEL0326 — Linear Systems Control
• SEL0359 — Digital Control
• SEM5928 — Control Systems

Repository layout

• adaptative-control/: MRAC, system identification, and exam/assignment notebooks
• linear-control/: state-space analysis, controllability/observability, LQR
• digital-control/: sampling, discrete-time design, labs and per-class notebooks
• mimo-control-systems/: SISO, MIMO, LQR, MPC, kalman-filters

Run notebooks

Recommended: Python 3.10+ with Jupyter and control libraries.

pip install jupyter numpy scipy matplotlib control slycot
jupyter lab

Highlights

• Adaptive: MRAC, parameter estimation, exam solutions
• Linear: LTI state-space design, observers, optimal control
• Digital: discrete design workflows, lab artifacts
• Control Systems (PhD): controller synthesis for MIMO projects

License

See LICENSE for terms.