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Fuzzy Control of Industrial Systems - Theory and Applications (Paperback, Softcover reprint of hardcover 1st ed. 1998)
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Fuzzy Control of Industrial Systems - Theory and Applications (Paperback, Softcover reprint of hardcover 1st ed. 1998)
Series: The Springer International Series in Engineering and Computer Science, 457
Expected to ship within 10 - 15 working days
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Fuzzy Control of Industrial Systems: Theory and Applications
presents the basic theoretical framework of crisp and fuzzy set
theory, relating these concepts to control engineering based on the
analogy between the Laplace transfer function of linear systems and
the fuzzy relation of a nonlinear fuzzy system. Included are
generic aspects of fuzzy systems with an emphasis on the many
degrees of freedom and its practical design implications, modeling
and systems identification techniques based on fuzzy rules,
parametrized rules and relational equations, and the principles of
adaptive fuzzy and neurofuzzy systems. Practical design aspects of
fuzzy controllers are covered by the detailed treatment of fuzzy
and neurofuzzy software design tools with an emphasis on iterative
fuzzy tuning, while novel stability limit testing methods and the
definition and practical examples of the new concept of
collaborative control systems are also given. In addition, case
studies of successful applications in industrial automation,
process control, electric power technology, electric traction,
traffic engineering, wastewater treatment, manufacturing, mineral
processing and automotive engineering are also presented, in order
to assist industrial control systems engineers in recognizing
situations when fuzzy and neurofuzzy would offer certain advantages
over traditional methods, particularly in controlling highly
nonlinear and time-variant plants and processes.
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