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Adaptive Control Design

Design controllers that can adapt to changing process information

When a control system contains uncertainties that change over time, such as unmodeled system dynamics and disturbances, an adaptive controller can compensate for the changing process information by adjusting its parameters in real time. By doing so, such a controller can achieve desired reference tracking despite the uncertainties in the plant dynamics.

Simulink® Control Design™ software provides a model-free, real-time adaptive control method for computing controller parameters that maximize an objective function derived from the your control system. For more information, see Extremum Seeking Control.


Extremum Seeking ControlCompute controller parameters in real time by maximizing an objective function


Extremum Seeking Control

Update controller parameters to maximize an objective function in the presence of unknown system dynamics.

Extremum Seeking Control for Reference Model Tracking of Uncertain Systems

Track a reference plant model by adapting feedforward and feedback gains for an uncertain dynamical system.

Featured Examples