Brian Douglas, a control systems engineer based in Seattle, has created various resources over the years and invites visitors to explore them.
- Linear (PID, lead-lag, full-state feedback)
Nonlinear (gain scheduling, backstepping, sliding mode)
Optimal & Predictive Control
LQR, MPC, Hamilton-Jacobi-Bellman
- Intelligent & Multi-Agent Control
Reinforcement learning, genetic algorithms, swarm control
- Robust & Adaptive Control
- H-infinity, mu-synthesis, active disturbance rejection, model reference adaptive control
- Planning & Estimation
- Path planning (RRT, A*), Kalman filters, sensor fusion
- Modeling, Simulation & System Analysis
- State-space, transfer functions, stability analysis, Nyquist, Lyapunov
- Linear (PID, lead-lag, full-state feedback)
Nonlinear (gain scheduling, backstepping, sliding mode)
Optimal & Predictive Control
LQR, MPC, Hamilton-Jacobi-Bellman
- Intelligent & Multi-Agent Control
Reinforcement learning, genetic algorithms, swarm control
- Robust & Adaptive Control
- H-infinity, mu-synthesis, active disturbance rejection, model reference adaptive control
- Planning & Estimation
- Path planning (RRT, A*), Kalman filters, sensor fusion
- Modeling, Simulation & System Analysis
- State-space, transfer functions, stability analysis, Nyquist, Lyapunov
