Controls & Robotics
State-Space & Optimal Control Simulators
A focused Controls & Robotics hub for state-space & optimal control tools, keeping related formulas, assumptions, and engineering checks together.
6 simulators
Adjacent categories
Simulator list
H-Infinity Control Simulator — Mixed Sensitivity Design
State-Space & Optimal Control
Visualize the sensitivity S, complementary sensitivity T, and the mixed sensitivity peak under W_S and W_T weights for a PI controller on G_p = 1/(T_p s + 1). Explore th…
Kalman Filter Simulator — State Estimation & Noise Reduction Visualization
State-Space & Optimal Control
Visualize how the Kalman filter recovers true state from noisy data. Adjust process and measurement noise to intuitively understand its operation.
LQR Inverted Pendulum Simulator — Optimal State Feedback
State-Space & Optimal Control
LQR inverted pendulum simulator: optimal feedback u=-Kx on a 4D cart-pole. Tune Q and R weights to see settling time, overshoot, and peak input trade off in real time.
Model Predictive Control Simulator — Finite-Horizon Optimization
State-Space & Optimal Control
Discretize a first-order process and compute, at every step, the optimal input that minimizes the predicted output error over a finite horizon. Compare MPC with a baseli…
State-Space Observability Simulator
State-Space & Optimal Control
For a 2nd-order linear time-invariant system ẋ=Ax+Bu, y=Cx, this tool answers the question \
State Space Analysis
State-Space & Optimal Control
Analyze state-space systems: Check controllability & observability, compute state feedback gain K, and visualize eigenvalues. Enter your A, B, C, D matrices.