Intelligent control is a rapidly developing, complex, and
challenging field of increasing practical importance and still
greater potential. Its applications have a solid core in robotics
and mechatronics but branch out into areas as diverse as process
control, automotive industry, medical equipment, renewable energy
and air conditioning.
"Intelligent Control with LabVIEW " is a fresh and pragmatic
approach to the understanding of a subject often clouded by too
much mathematical theory. It exploits the full suite of tools
provided by LabVIEW, showing the student how to design, develop,
analyze, and visualize intelligent control algorithms quickly and
simply. Block diagrams are used to follow the progress of an
algorithm through the design process and allow seamless integration
with hardware systems for rapid deployment in laboratory
experiments.
This text delivers a thorough grounding in the main tools of
intelligent control:
fuzzy logic systems, emulating human reasoning processes;
artificial neural networks, mimicking our ability to learn;
neuro-fuzzy systems for implementing controller adaptation;
evolutionary methods, using the ideas of genetic evolution for
optimization; and
predictive methods, giving information about a system s future
behavior.
"Intelligent Control with LabVIEW " facilitates the learning and
teaching of its subject by:
extensive use of worked examples;
end-of-chapter problems with separate solutions; and
provision of intelligent control tools for LabVIEW .
Graduate and senior undergraduate students learning about
intelligent control will find great help in this textbook s
easy-to-read style and graphical programming approach. The book
will be of material assistance to instructors interested in using
LabVIEW -based teaching when designing a course in intelligent
control. Researchers in intelligent systems who employ LabVIEW as a
laboratory tool will also benefit from its dedicated support for
intelligent control.
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