Chapter 13. Inferential Estimation Using Multiple Measurements
Objectives of the Chapter
The objective of this chapter is to discuss the design and implementation of estimators for inferential controllers using multiple secondary measurements. In this chapter we focus on model-based estimators. Topics covered include
Design of the steady-state estimator.
Selection of measurements.
Adding dynamic compensation.
Design of optimal estimators.
Nonlinear estimators.
Prerequisite Reading
Chapter 12, “Single Variable Inferential Control”
Appendix C, “Linear Least-Squares Regression”
Appendix D, “Random Variables and Random Processes”
Introduction and Motivation
In the previous chapter we considered the inferential control using only one secondary variable. In many ...
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