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Linear Systems Theory - Second Edition (Hardcover, 2nd New edition)
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Linear Systems Theory - Second Edition (Hardcover, 2nd New edition)
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A fully updated textbook on linear systems theory Linear systems
theory is the cornerstone of control theory and a well-established
discipline that focuses on linear differential equations from the
perspective of control and estimation. This updated second edition
of Linear Systems Theory covers the subject's key topics in a
unique lecture-style format, making the book easy to use for
instructors and students. Joao Hespanha looks at system
representation, stability, controllability and state feedback,
observability and state estimation, and realization theory. He
provides the background for advanced modern control design
techniques and feedback linearization and examines advanced
foundational topics, such as multivariable poles and zeros and
LQG/LQR. The textbook presents only the most essential mathematical
derivations and places comments, discussion, and terminology in
sidebars so that readers can follow the core material easily and
without distraction. Annotated proofs with sidebars explain the
techniques of proof construction, including contradiction,
contraposition, cycles of implications to prove equivalence, and
the difference between necessity and sufficiency. Annotated
theoretical developments also use sidebars to discuss relevant
commands available in MATLAB, allowing students to understand these
tools. This second edition contains a large number of new practice
exercises with solutions. Based on typical problems, these
exercises guide students to succinct and precise answers, helping
to clarify issues and consolidate knowledge. The book's balanced
chapters can each be covered in approximately two hours of lecture
time, simplifying course planning and student review. Easy-to-use
textbook in unique lecture-style format Sidebars explain topics in
further detail Annotated proofs and discussions of MATLAB commands
Balanced chapters can each be taught in two hours of course lecture
New practice exercises with solutions included
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