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This book introduces an approach to active system control design
and development to improve the properties of our technological
systems. It extends concepts of control and data accumulation by
explaining how the system model should be organized to improve the
properties of the system under consideration. The authors define
these properties as reliability, performance and energy-efficiency,
and self-adaption. They describe how they bridge the gap between
data accumulation and analysis in terms of interpolation with the
real physical models when data used for interpretation of the
system conditions. The authors introduce a principle of active
system control and safety - an approach that explains what a model
of a system should have, making computer systems more efficient, a
crucial new concern in application domains such as safety critical,
embedded and low-power autonomous systems like transport,
healthcare, and other dynamic systems with moving substances and
elements. On a theoretical level, this book further extends the
concept of fault tolerance, introducing a system level of design
for improving overall efficiency. On a practical level it
illustrates how active system approach might help our systems be
self-evolving.
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