Intelligent engineering systems try to replicate fundamental
abilities of humans and nature in order to achieve sufficient
progress in solving complex problems. In an ideal case
multi-disciplinary applications of different modern engineering
fields can result in synergistic effects. Information technology
and computer modeling are the underlying tools that play a major
role at any stages of developing intelligent systems. Chapters in
the present volume have been written by eminent scientists from
different parts of the world, dealing with challenging problems for
efficient modeling of intelligent systems. The reader can find
different characteristics and methodologies of computational
intelligence with real life applications. Various facets of
intelligent engineering and information technology are addressed.
Starting with theoretical issues from pseudo-analysis to parametric
classes of digital fuzzy conjunctions for hardware implementation
of fuzzy systems, diverse aspects of control including quantum as
well as fuzzy control and hybrid approaches, intelligent robotics
dealing with mobile and autonomous robots and new trends,
approaches and results on information technology, machines,
materials and manufacturing, and issues of intelligent systems and
complex processes are covered.
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