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.
Closed-loop Ziegler–Nichols and Cohen–Coon tuning with response analytics and plotting.
Relative gain analysis, pairing recommendations, and decoupler simulation for 2×2 systems.
Design LQR gains, visualize real-time cart-pole stabilization, and test disturbances.
Monte Carlo stability checks, Bode limits, and uncertainty sweeps for PID controllers.
Compare Stanley vs MPC steering on procedural tracks with live KPIs and mini charts.
Day-ahead scheduling with dynamic programming, SoC visualization, and profit tracking.
Optimal state estimation (1D) with interactive noise sliders and real-time visualization.
Visualize phase plane trajectories, reaching phase dynamics, and chattering effects.