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Soft Computing for Intelligent Control and Mobile Robotics (Hardcover, Edition.)
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Soft Computing for Intelligent Control and Mobile Robotics (Hardcover, Edition.)
Series: Studies in Computational Intelligence, 318
Expected to ship within 12 - 17 working days
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This book describes in a detailed fashion the application of hybrid
intelligent systems using soft computing techniques for intelligent
control and mobile robotics. Soft Computing (SC) consists of
several intelligent computing paradigms, including fuzzy logic,
neural networks, and bio-inspired optimization algorithms, which
can be used to produce powerful hybrid intelligent systems. The
prudent combination of SC techniques can produce powerful hybrid
intelligent systems that are capable of solving real-world
problems. This is illustrated in this book with a wide range of
applications, with particular emphasis in intelligent control and
mobile robotics. The book is organized in five main parts, which
contain a group of papers around a similar subject. The first part
consists of papers with the main theme of theory and algorithms,
which are basically papers that propose new models and concepts,
which can be the basis for achieving intelligent control and mobile
robotics. The second part contains papers with the main theme of
intelligent control, which are basically papers using bio-inspired
techniques, like evolutionary algorithms and neural networks, for
achieving intelligent control of non-linear plants. The third part
contains papers with the theme of optimization of fuzzy
controllers, which basically consider the application of
bio-inspired optimization methods to automate the de-sign process
of optimal type-1 and type-2 fuzzy controllers. The fourth part
contains papers that deal with the application of SC techniques in
times series prediction and intelligent agents. The fifth part
contains papers with the theme of computer vision and robotics,
which are papers considering soft computing methods for
applications related to vision and robotics.
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