This text 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, modelling 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.
By:
Ian S. Shaw Imprint: Springer Edition: 1998 ed. Volume: 457 Dimensions:
Height: 235mm,
Width: 155mm,
Spine: 14mm
Weight: 1.100kg ISBN:9780792382492 ISBN 10: 0792382498 Series:The Springer International Series in Engineering and Computer Science Pages: 192 Publication Date:31 August 1998 Audience:
College/higher education
,
Professional and scholarly
,
Professional & Vocational
,
A / AS level
,
Further / Higher Education
Format:Hardback Publisher's Status: Active