Modern day large power systems are essentially dynamic systems with stringent
requirements of high reliability for the continuous availability of electricity.
Reliability is contingent on the power system retaining stable operation during
steady-state operation and also following disturbances. The s ...
Modern power systems involve large amount of investment. An electric power
system comprises of generation, transmission, and distribution of electric energy.
Growth of power systems has led to very complex networks extended across large
areas. In such situations, the proper functioning of a modern p ...
With all the recent hype over radio frequency identification (RFID) and
the requirements to implement it, you might think that RFID can turn
water into wine, transform lead into gold, and cure the world’s diseases. You
might also be worried that RFID will enable Big Brother to track your move-
ment ...
With more than two billion terminals in commercial operation world-wide, wire-
less and mobile technologies have enabled a first wave of pervasive communication
systems and applications. Still, this is only the beginning as wireless technologies
such as RFID are currently contemplated with a deploym ...
Have you ever looked at some gadget and wondered
how it really worked? Maybe it was a remote control
boat, the system that controls an elevator, a vending
machine, or an electronic toy? Or have you wanted
to create your own robot or electronic signals for a model railroad, or per-
haps you’d like t ...
There exist two essentially different approaches to the study of dynamical systems, based on
the following distinction:
time-continuous nonlinear differential equations ⇋ time-discrete maps
One approach starts from time-continuous differential equations and leads to time-discrete
maps, which are ob ...
This book is an outgrowth of a course developed at Stanford University over
the past five years. It is suitable as a self-contained textbook for second-level
undergraduates or for first-level graduate students in almost every field that
employs quantit ...
Pattern recognition has its origins in engineering, whereas machine learning grew
out of computer science. However, these activities can be viewed as two facets of
the same field, and together they have undergone substantial development over the
past ten years. In particular, Bayesian methods have g ...
Artificial Intelligence (AI) has undoubtedly been one of the most important buz-
zwords over the past years. The goal in AI is to design algorithms that transform com-
puters into “intelligent” agents. By intelligence here we do not necessarily mean an
extraordinary level of smartness shown by sup ...
