"Recent Advances in Intelligent Control Systems" gathers
contributions from workers around the world and presents them in
four categories according to the style of control employed: fuzzy
control; neural control; fuzzy neural control; and intelligent
control. The contributions illustrate the interdisciplinary
antecedents of intelligent control and contrast its results with
those of more traditional control methods. A variety of design
examples, drawn primarily from robotics and mechatronics but also
representing process and production engineering, large civil
structures, network flows, and others, provide instances of the
application of computational intelligence for control.
Presenting state-of-the-art research, this collection will be of
benefit to researchers in automatic control, automation, computer
science (especially artificial intelligence) and mechatronics while
graduate students and practicing control engineers working with
intelligent systems will find it a good source of study
material.
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