Control Engineering Laboratory

Six interactive sandboxes for modern control: tune PID loops, decouple MIMO plants, stabilize inverted pendulums, stress-test H∞ designs, explore autonomous path tracking, and optimize microgrid energy flows. Optimized for mobile and desktop.

Responsive UX MathJax Ready Chart.js Visuals One-click Docs

Laboratory Collection

Pick a sandbox to start experimenting
PID · Auto-tuning

PID Auto-Tuner

Closed-loop Ziegler–Nichols and Cohen–Coon tuning with response analytics and plotting.

MIMO · Decoupling

MIMO Decoupling

Relative gain analysis, pairing recommendations, and decoupler simulation for 2×2 systems.

LQR · Cart-Pole

Inverted Pendulum

Design LQR gains, visualize real-time cart-pole stabilization, and test disturbances.

H∞ · Robustness

Robust Control

Monte Carlo stability checks, Bode limits, and uncertainty sweeps for PID controllers.

Autonomy · MPC

Path Tracking

Compare Stanley vs MPC steering on procedural tracks with live KPIs and mini charts.

Energy · MPC

Microgrid AI Manager

Day-ahead scheduling with dynamic programming, SoC visualization, and profit tracking.