O'Reilly logo

Process Control: Modeling, Design, and Simulation by B. Wayne Bequette

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

4.6. Discrete Step and Impulse Response Models

The common model predictive control techniques presented in Chapter 16 are based on step or impulse responses.

Step Response Models

Finite step response (FSR) models are obtained by making a unit step input change to a process operating at steady state. The model coefficients are simply the output values at each time step, as shown in Figure 4-9. Here, si represents the step response coefficient for the ith sample time after the unit step input change. If a nonunit step change is made, the output is scaled accordingly.

Figure 4-9. Illustration of step response parameter identification.

The step response ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required