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008 150903s2006 xxu| o |||| 0|eng d
020 _a9780817645397
_99780817645397
024 7 _a10.1007/9780817645397
_2doi
035 _avtls000333541
039 9 _a201509030802
_bVLOAD
_c201404130445
_dVLOAD
_c201404092235
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040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
100 1 _aZhang, Huaguang.
_eautor
_9305964
245 1 0 _aFuzzy Modeling and Fuzzy Control /
_cby Huaguang Zhang, Derong Liu.
264 1 _aBoston, MA :
_bBirkhäuser Boston,
_c2006.
300 _axiii, 416 páginas 161 ilustraciones
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aControl Engineering,
_x1574-0463
500 _aSpringer eBooks
505 0 _aFuzzy Set Theory and Rough Set Theory -- Identification of the Takagi-Sugeno Fuzzy Model -- Fuzzy Model Identification Based on Rough Set Data Analysis -- Identification of the Fuzzy Hyperbolic Model -- Basic Methods of Fuzzy Inference and Control -- Fuzzy Inference and Control Methods Involving Two Kinds of Uncertainties -- Fuzzy Control Schemes via a Fuzzy Performance Evaluator -- Multivariable Predictive Control Based on the T-S Fuzzy Model -- Adaptive Control Methods Based on Fuzzy Basis Function Vectors -- Controller Design Based on the Fuzzy Hyperbolic Model -- Fuzzy H ? Filter Design for Nonlinear Discrete-Time Systems with Multiple Time-Delays -- Chaotification of the Fuzzy Hyperbolic Model -- Feedforward Fuzzy Control Approach Using the Fourier Integral.
520 _aFuzzy logic methodology has been proven effective in dealing with complex nonlinear systems containing uncertainties that are otherwise difficult to model. Technology based on this methodology has been applied to many real-world problems, especially in the area of consumer products. This book presents the first unified and thorough treatment of fuzzy modeling and fuzzy control, providing necessary tools for the control of complex nonlinear systems. Based on three types of fuzzy models—the Mamdani fuzzy model, the Takagi–Sugeno fuzzy model, and the fuzzy hyperbolic model—the book addresses a number of important issues in fuzzy control systems, including fuzzy modeling, fuzzy inference, stability analysis, systematic design frameworks, robustness, and optimality. The authors develop several advanced control schemes, such as the fuzzy model-based generalized predictive control scheme, the fuzzy adaptive control scheme based on fuzzy basis function vectors, the fuzzy control scheme based on fuzzy performance evaluators, and the fuzzy sliding-mode control scheme. Careful consideration is given to questions concerning model complexity, model precision, and computing time. In addition to being an excellent reference for electrical, computer, chemical, industrial, civil, manufacturing, mechanical and aeronautical engineers, the book may also be appropriate for classroom use in a graduate course in electrical engineering, computer engineering, and computer science. Applied mathematicians, control engineers, computer scientists, and physicists will benefit from the presentation as well.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aLiu, Derong.
_eautor
_9305965
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9780817644918
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-0-8176-4539-7
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c280788
_d280788