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Fuzzy Control Of Industrial Systems (Cód: 6326950)

Ian S. Shaw

SPRINGER VERLAG POD

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Fuzzy Control Of Industrial Systems

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Descrição

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.

Características

Produto sob encomenda Sim
Marca SPRINGER VERLAG POD
Cód. Barras 9780792382492
Altura 23.40 cm
I.S.B.N. 9780792382492
Profundidade 1.43 cm
Referência 9780792382492
Ano da edição 1998
Idioma Inglês
Número de Páginas 228
Peso 0.45 Kg
Largura 15.60 cm
AutorIan S. Shaw