Chapter 17. Basic Model-Predictive Control
Objectives of the Chapter
In this chapter we describe a discrete-time implementation of model-based control algorithm called model-predictive control (MPC). The main issues addressed are
Reduction of a control problem into an optimization problem that is solved at every sample time.
Incorporating effect of measured disturbances (feedforward control).
Control of multivariable systems.
Prerequisite Reading
Chapter 14, âDiscrete-Time Modelsâ
Appendix C, âLinear Least-Squares Regressionâ
Introduction
In this chapter we will consider discrete-time (computer-control) systems. The control problem is expressed as a problem of minimizing an objective function subject to constraints. The availability of a model ...
Get Techniques of Model-Based Control now with the O’Reilly learning platform.
O’Reilly members experience live online training, plus books, videos, and digital content from nearly 200 publishers.