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Control Theory Tutorial

Basic Concepts Illustrated by Software Examples
Authors: Frank, Steven A.;

Control Theory Tutorial

Abstract

Open access book published by Springer with associated Mathematica software. PRÉCIS: This book introduces the basic principles of control theory in a concise self-study tutorial. The chapters build the foundation of control systems design based on feedback, robustness, tradeoffs, and optimization. The approach focuses on how to think clearly about control and why the key principles are important. Each principle is illustrated with examples and graphics developed by software coded in Wolfram Mathematica. All of the software is freely available for download. The software provides the starting point for further exploration of the concepts and for development of new theoretical studies and applications. NOTE: I wrote this tutorial because I could not find a simple, brief introduction to the foundational concepts of control theory. I needed to understand those key concepts before I could read the standard introductory texts on control or read the more advanced literature. Ultimately, I wanted to develop sufficient understanding so that I could develop my own line of research on control in biological systems.

Country
Colombia
Keywords

Informática, Wolfram mathematica software, Feedback Control Systems, Control robusto, Sistemas de control de retroalimentación, Optimal Control, Mathematica software, Open access book, QA75.5-76.95, Engineering Design Tradeoffs, bic Book Industry Communication::U Computing & information technology::UY Computer science, Control theory, Tutorial, Control Theory, Software, Robust Control, Wolfram Mathematica Software

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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26
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91
86
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