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About Lecture-8 - Introduction To Mathematical Modleing
This document discusses the steps in control system design and the importance of process modeling. It begins by explaining the elements of control system design, including defining control objectives, selecting measurements and manipulated variables, and selecting a control configuration. It then discusses why mathematical models of the process are needed for control system design, even before the physical plant is built. Two common approaches for building models are empirical methods using experimental data and first principles methods using laws of physics and chemistry. Several examples of control problems are provided where models are necessary, such as feedback control, feedforward control, and inferential control where outputs must be estimated. Other uses of models include understanding process behavior, training personnel, and optimizing process operations. The document concludes by introducing state
Detailed Information
| Author: | ['Kshitij Soni'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 20 |
| Language: | English |
| Format: | |
| Price: | FREE |
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