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Linear Systems

Gebonden Engels 2005 1e druk 9780817644345
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

"...A comprehensive, complete and clear exposition that serves as an excellent foundation for more advanced topics in system theory and control."

- IEEE Transactions on Automatic Control

"[The authors] have contributed an expertly written and high quality textbook...and are to be congratulated.... Because of its mathematical sophistication and completeness the present book is highly recommended for use, both as a textbook as well as a reference."

- Automatica

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. The book examines the fundamental properties that govern the behavior of systems by developing their mathematical descriptions. Linear time-invariant, time-varying, continuous-time, and discrete-time systems are covered. Rigorous development of classic and contemporary topics in linear systems, as well as extensive coverage of stability and polynomial matrix/fractional representation, provide the necessary foundation for further study of systems and control. Linear Systems is written as a textbook 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, see the authors’ companion book entitled A Linear Systems Primer.

Specificaties

ISBN13:9780817644345
Taal:Engels
Bindwijze:gebonden
Aantal pagina's:672
Druk:1

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Inhoudsopgave

Mathematical Descriptions of Systems.- Response of Linear Systems.- Controllability, Observability, and Special Forms.- State Feedback and State Observers.- Realization Theory and Algorithms.- Stability.- Polynomial Matrix Descriptions and Matrix Fractional Descriptions of Systems.

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        Linear Systems