9780817644345-0817644342-Linear Systems

Linear Systems

ISBN-13: 9780817644345
ISBN-10: 0817644342
Edition: Corrected
Author: Panos J. Antsaklis, Anthony N. Michel
Publication date: 2005
Publisher: Birkhäuser
Format: Hardcover 690 pages
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Book details

ISBN-13: 9780817644345
ISBN-10: 0817644342
Edition: Corrected
Author: Panos J. Antsaklis, Anthony N. Michel
Publication date: 2005
Publisher: Birkhäuser
Format: Hardcover 690 pages

Summary

Linear Systems (ISBN-13: 9780817644345 and ISBN-10: 0817644342), written by authors Panos J. Antsaklis, Anthony N. Michel, was published by Birkhäuser in 2005. With an overall rating of 3.6 stars, it's a notable title among other Robotics (Hardware & DIY, Civil & Environmental, Engineering, Mechanical, Applied, Mathematics, Pure Mathematics, System Theory, Physics, Computer Science) books. You can easily purchase or rent Linear Systems (Hardcover) from BooksRun, along with many other new and used Robotics books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $1.62.

Description

"There are three words that characterize this work: thoroughness, completeness and clarity. The authors are congratulated for taking the time to write an excellent linear systems textbook!"

―IEEE Transactions on Automatic Control

Linear systems theory plays a broad and fundamental role in electrical, mechanical, chemical and aerospace engineering, communications, and signal processing. A thorough introduction to systems theory with emphasis on control is presented in this self-contained textbook, written for a challenging one-semester graduate course. A solutions manual is available to instructors upon adoption of the text. The book’s flexible coverage and self-contained presentation also make it an excellent reference guide or self-study manual.

For a treatment of linear systems that focuses primarily on the time-invariant case using streamlined presentation of the material with less formal and more intuitive proofs, please see the authors’ companion book entitled A Linear Systems Primer.

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