Simulink Control Design enables you to design and analyze traditional and data-driven control systems modeled in Simulink. It offers tools for finding operating points and computing exact linearizations of Simulink models at various operating conditions. You can compute simulation-based frequency responses of your systems. You can also deploy embedded estimation algorithms for real-time frequency response estimations of physical plants.

Simulink Control Design automatically tunes arbitrary SISO and MIMO control architectures, including PID controllers and gain-scheduled compensators. You can deploy PID autotuning algorithms to embedded software to automatically compute PID gains in real time. Simulink Control Design lets you design and deploy sliding mode, iterative learning, active disturbance rejection control, and other nonlinear, adaptive, and data-driven control algorithms. You can use constraint enforcement methods to adjust control actions, preventing your system from violating critical constraints.