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Preface
I studyhownatural biological processes shape thedesignof organisms.Likemany
biologists, I have often turned to the rich theoryof engineering feedback control to
gain insight into biology.
The taskof learningcontrol theory for abiologist or for anoutsider fromanother
scientiļ¬cļ¬eld is not easy. I read and reread the classic introductory texts of control
theory. I learned the basic principles and gained the ability to analyze simple
modelsof control.Thecoreof theengineering theorysharesmany featureswithmy
own closest interests in design tradeoffs in biology. How much cost is it worth
paying to enhance performance?What is themost efļ¬cient investment in improved
design given the inherent limitation on time, energy, and other resources?
Yet, for all of the conceptual similarities tomy own research and for all ofmy
hoursof studywith theclassic introductory texts, I knewthat Ihadnotmastered the
broad principles of engineering control theory design. How should I think simply
andclearlyabout abasiccontrol theoryprinciple suchas integral control in termsof
howabiological systemactually builds an error-correcting feedback loop?What is
the relation between various adaptive engineering control systems and theways in
which organisms build hard-wired versus flexible control responses? How do the
classic cost-beneļ¬t analyses of engineering quadratic control models relate to the
commonly used notions of costs and beneļ¬ts inmodels of organismal design?
After several years ofminor raiding around theperipheryof engineering control
theory, I decided it was time to settle down andmake a carefully planned attack.
I lined up the classic texts, from the basic introductions to the more advanced
treatises on nonlinear control, adaptive control, model predictive control, modern
robust analysis, and thevariousmetrics used to analyzeuncertainty. I could already
solve a wide range of problems, but I had never fully internalized the basic prin-
ciples that uniļ¬ed the subject in a simple and natural way.
This book is the tutorial that I developed formyself. This tutorial canguide you
toward broad understanding of the principles of control in a way that cannot be
obtained from the standard introductory books. Those classic texts are brilliant
compilations of knowledge with excellent drills to improve technical skill. But
those texts cannot teach you to understand the principles of control, how to
vii
Control Theory Tutorial
Basic Concepts Illustrated by Software Examples
- Title
- Control Theory Tutorial
- Subtitle
- Basic Concepts Illustrated by Software Examples
- Author
- Steven A. Frank
- Publisher
- Springer Open
- Location
- Irvine
- Date
- 2018
- Language
- English
- License
- CC BY 4.0
- ISBN
- 978-3-319-91706-1
- Size
- 15.5 x 23.5 cm
- Pages
- 114
- Keywords
- Control Theory --- Engineering Design Tradeoffs, Robust Control, Feedback Control Systems, Wolfram
- Category
- Informatik