1. Model linear and nonlinear plant dynamics using basic models, system identification, or automatic parameter estimation.
2. Trim, linearize, and compute frequency response for nonlinear Simulink models.
3. Design controllers based on plant models using root locus, Bode diagrams, LQR, LQG, and other design techniques.
4. Interactively analyze control system performance using overshoot, rise time, phase margin, gain margin, and other performance and stability characteristics in time and frequency domains.
4. Automatically tune PID, gain-scheduled, and arbitrary SISO and MIMO control systems.
5. Design and implement robust and model predictive controllers or use model-free control methods such as model-reference adaptive control, extremum-seeking control, reinforcement learning, and fuzzy logic.
6. Deploy control algorithms to embedded system for real-time control, tuning, or parameter estimation.
7. Design and test condition monitoring and predictive maintenance algorithms.