Geared toward upper-level undergraduates and graduate students,
this book offers a comprehensive look at linear network analysis
and synthesis. It explores state-space synthesis as well as
analysis, employing modern systems theory to unite the classical
concepts of network theory.
The authors stress passive networks but include material on active
networks. They avoid topology in dealing with analysis problems and
discuss computational techniques. The concepts of controllability,
observability, and degree are emphasized in reviewing the
state-variable description of linear systems. Explorations of
positive real and bounded real functions and matrices include their
applications to optimal control, filtering, and stability.
Excellent illustrations highlight this text, which represents the
definitive tool for integrating an understanding of network theory
with related fields such as control theory and communication
systems theory.
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