Feedback Systems: An Introduction for Scientists and Engineers by Karl Johan Åström (PDF)

Description

This book provides an introduction to the mathematics needed to model, analyze, and design feedback systems. It is an ideal textbook for undergraduate and graduate students, and is indispensable for researchers seeking a self-contained reference on control theory. Unlike most books on the subject, Feedback Systems develops transfer functions through the exponential response of a system, and is accessible across a range of disciplines that utilize feedback in physical, biological, information, and economic systems. Karl Åström and Richard Murray use techniques from physics, computer science, and operations research to introduce control-oriented modeling. They begin with state space tools for analysis and design, including stability of solutions, Lyapunov functions, reachability, state feedback observability, and estimators. The matrix exponential plays a central role in the analysis of linear control systems, allowing a concise development of many of the key concepts for this class of models. Åström and Murray then develop and explain tools in the frequency domain, including transfer functions, Nyquist analysis, PID control, frequency domain design, and robustness.They provide exercises at the end of every chapter, and an accompanying electronic solutions manual is available to authenticated professors. Feedback Systems is a complete one-volume resource for students and researchers in mathematics, engineering, and the sciences.Covers the mathematics needed to model, analyze, and design feedback systems Serves as an introductory textbook for students and a self-contained resource for researchers Includes exercises at the end of every chapter Features a separate electronic solutions manual available to authenticated professors.Offers techniques applicable across a range of disciplines

User’s Reviews

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐It’s a pretty good book. I got it for a university class. There’s a lot of errors in the book though (~20 errata per chapter) for the first edition. Still, it explains things reasonably well, and is a pretty good place to start. Requires a decent linear algebra background to understand most of the early material.

⭐The authors did a poor job in explaining many vital concepts. Apparently they failed to pay attention to their narratives and the writing is too casual for such a highly technical material. Throughout the book I have written down numerous notes to correct errors or clarify confusions due to the authors’ ambiguous expressions and careless uses of technical terminologies. Especially, the section 4.3 stability is a mess. I would recommend those classical, rigorous texts such as Antsaklis & Michel (Linear Systems), Khalil (Nonlinear Analysis). A good introductory alternative, although light on transfer function approach, is Luenberger’s dynamical systems.

⭐Needed this for a class. Ended up not using it too much, and when we did use it the book it often contradicted what was taught in class and was certainly not used in the same order. Other controls & systems textbooks I have read are much more concise and less abstract than this one.

⭐This book is an excellent introduction to modern control theory. Rich in interdisciplinary examples and it goes directly to the point. The book gives the intuitive idea without unnecessary math. It also doesn’t include a lot of the classical control theory that is taught in electrical engineering courses, focusing more on the modern stuff. Understanding the math in the book requires more prior knowledge than is said in the preface of the book.

⭐I’m wrapping up a masters degree in control systems at University of Washington, and this book is basically a summary of everything I’ve learned in the past two years. Good stuff.

⭐The texture on this book is the soft touch kind. I really like it.

⭐The book isn’t too bad. The explanations are decently clear, but do require you to pay attention to all the details and steps in the proof or approach. I docked a star for the numerous typos/mistakes. But what irks me the most is that the book does an absolutely appalling job of telling you the difference between a matrix and a vector and a scalar. When you have an equation with 15 terms to keep track of, this gets really confusing and annoying. Seriously. Bold face, underline, etc. It’s not that hard.

⭐I came into my control theory course, for which this book was a required course text, excited to learn about a very interesting and useful topic. Instead, this book came close to making me hate the subject.Frankly, I have had more than enough of this atrocity. The book is riddled with a ridiculous number of typos and errors that range from amusingly glaring proofreading lapses at least several times per chapter, like “A block diagram of a basic feedback loop is shown in Figure 11.1. LDH](6 Jan 08) Reworded the third and fourth sentences. OK?” to extremely frustrating serious errors in formulas. I actually doubt that the book even got proofread by anyone at all. I do not believe I would be exaggerating by saying that there are several hundreds of errors in these 400 pages, giving it the honor of being the most error-riddled science text that I have ever read throughout high school and college. In addition, equations with mysterious origins, surrounded by explaining text that in fact adds to the mystery, are a common phenomenon. Terms are not defined clearly before being used extensively; sometimes I did not understand the specific meaning of a term introduced earlier even after going to the index, looking up the specific page and rereading! The writing is extremely dry and boring, and is good enough to put the lightest sleeper to sleep. For all of the above reasons a lot of times when trying to force myself to plow through one chapter, I had to fight hard to resist the temptation to throw the book at the wall across the room in irritation. I don’t feel that I managed to learn anything from this book.Books like this should not be published if all that the authors can give is a haphazard effort hastily, carelessly and thoughtlessly put together, whose only achievement will be to confuse students.

⭐In my opinion this book is a bit missing it’s target. It is too heavy and formal to be a good introduction but not comprehensive enough to be a proper reference textbook. It focuses mainly on state-space representation which is good in a way because it is broadly used in modern control but is (to me) less intuitive than transfer functions.If you’re really looking for an introductory book to feedback and control, I would rather recommand you “schaum’s outline feedback control systems”. It is much cheaper and easier to read. It is more focused on classical control and less (much less) on state-space representation but it gives you a better feeling.

⭐Troppe cose date per scontate e troppi disegni e ragìonamenti su cose banali che poco possono interessare ad uno studente … ho dubbi anche per l’uso che ne possa fare un ingegnere visto che la modellizzazione mi pare una chimera per questo libro, per non parlare degli argomenti che un testo introduttivo dovrebbe introdurre proprio perche’ si presenta come introduzione, Trasformata di Laplace’con proprietà nemmeno a parlarne, schemi a blocchi non vengono trattati, bode spiegato come se si avesse un professore svogliato ecc… . Sconsigliato per imparare … dubbio per la vera utilitá visto che quello che é presente lo si trova su fonti gratuitamente e descritto meglio. E non venitemi a dire che é un introduzione, perche’ , non per questo deve lasciare il nulla in testa e alleggerire il portafogli.

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⭐Excelente libro sobre temas de control. Tiene una estructura diferente a los tratados clásicos e incluye buenos ejemplos en todos sus capítulos.

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⭐Excelente servicio

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