Vous voulez voir cette page en français ? Cliquez ici.

Have one to sell? Sell yours here
Fundamentals of Linear State Space Systems
 
See larger image 
Share your own customer images
Publisher: learn how customers can search inside this book.

Fundamentals of Linear State Space Systems [Hardcover]

John S Bay (Author)

Available from these sellers.


Formats

 Amazon Price New from Used from
Hardcover --   -- --
Paperback --   -- --

Product Details

Product Description

Product Description

This book addresses two primary deficiencies in the linear systems textbook market: a lack of development of state space methods from the basic principles and a lack of pedagogical focus. The book uses the geometric intuition provided by vector space analysis to develop in a very sequential manner all the essential topics in linear state system theory that a senior or beginning graduate student should know. It does this in an ordered, readable manner, with examples drawn from several areas of engineering. Because it derives state space methods from linear algebra and vector spaces and ties all the topics together with diverse applications, this book is suitable for students from any engineering discipline, not just those with control systems backgrounds and interests. It begins with the mathematical preliminaries of vectors and spaces, then emphasizes the geometric properties of linear operators. It is from this foundation that the studies of stability, controllability and observability, realizations, state feedback, observers, and Kalman filters are derived. There is a direct and simple path from one topic to the next. The book includes both discrete- and continuous-time systems, introducing them in parallel and emphasizing each in appropriate context. Time-varying systems are discussed from generality and completeness, but the emphasis is on time-invariant systems, and only in time-domain; there is no treatment of matrix fraction descriptions or polynomial matrices. Tips for using MATLAB are included in the form of margin notes, which are placed wherever topics with applicable MATLAB commands are introduced. These notes direct the reader to an appendix, where a MATLAB command reference explains command usage. However, an instructor or student who is not interested in MATLAB usage can easily skip these references without interrupting the flow of text.

Tag this product

 (What's this?)
Think of a tag as a keyword or label you consider is strongly related to this product.
Tags will help all customers organize and find favorite items.
Your tags: Add your first tag
 
See most popular tags

Customer Reviews

There are no customer reviews yet on Amazon Canada
5 star:    (0)
4 star:    (0)
3 star:    (0)
2 star:    (0)
1 star:    (0)
 
 
 
Share your experience with this product with others
Create your own review
Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com: 4.0 out of 5 stars (2 customer reviews)

3 of 3 people found the following review helpful:
4.0 out of 5 stars I bought this for a class but now...., Oct 28 2005
By Douglas R. Isenberg - Published on Amazon.com
This review is from: Fundamentals of Linear State Space Systems (Hardcover)
I constantly use this book as a reference. It has sufficient depth for a wide variety of topics and even covers the Eigensystem Realization Algorithm. Between this and the Conrad and Hitz book, I am usually able find what I need.

1 of 1 people found the following review helpful:
4.0 out of 5 stars Pedagogically Correct, Aug 31 2011
By Jordan McBain "Jordan McBain" - Published on Amazon.com
This review is from: Fundamentals of Linear State Space Systems (Hardcover)
It is an extremely difficult task to find a textbook that takes the reader from simple concepts studied in the first two years of a typical engineering/science program (Algebra, differential calculus, Laplace transforms, Fourier transforms, controls, etc.) and bridging the reader slowly into state-space concepts. This is the stated aim of this text: a pedagogically sound attempt at bridging the reader from simpler concepts to the state space. It does a reasonably good job at achieving it too. Most other texts don't even bother - and you can usually envision their authors arrogantly shoving their glasses up their nose as they were writing it ("I will not share my intuition!").

The first two thirds of the book fits this former description perfectly. The user is gently swept up into the state-space representation and presented with conceptual (graphical!) arguments as to its inner workings. It seemed evident to me that the resultant discussion on Lyapunov stability was extremely well motivated as a result of this graphical discussion; I have not much explored the concept myself but I can easily see how some authors would get carried away with formal mathematics and forget to again share simple intuition. As with all such endeavors, however, the more complicated concepts closer to the end of the book are often lost in overly mathematical minutiae with seemingly little effort made to bring intuition to the subject. This disappointed me since I was keenly hoping to walk away with a deep intuitive understanding of the mathematics behind the Kalman Filter (this may require a re-read of some chapters).

The book is reasonably well suited to self-study but is best used in a course whose instructor can help the student along. It is probably best left to the graduate student but could help out an undergraduate student whose professor's teaching technique is less than stellar.
› Go to Amazon U.S. to see both reviews  4.0 out of 5 stars 

Listmania!

Create a Listmania! list

Look for similar items by category

Look for similar items by subject




















i.e., each book must be in subject 1 AND subject 2 AND ...

Feedback

Would you like to update product info or give feedback on images?