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020 _a9783030691820
024 7 _a10.1007/978-3-030-69182-0
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aTJ220.5
_b2021 EB
100 _aAhmadieh Khanesar, Mojtaba
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9681756
245 1 0 _aSliding-Mode Fuzzy Controllers
_cby Mojtaba Ahmadieh Khanesar, Okyay Kaynak, Erdal Kayacan
250 _aFirst edition 2021
264 1 _aCham
_bSpringer International Pulishing
_c2021
300 _a1 recurso en línea (XVI, 237 páginas)
_b66 ilustraciones, 14 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _aarchivo de texto
_bPDF
490 0 _aStudies in Systems, Decision and Control
_x2198-4190
_v357
490 0 _aIntelligent Technologies and Robotics (SpringerNature-42732)
490 0 _aIntelligent Technologies and Robotics (R0) (SpringerNature-43728)
505 0 _aMathematica Preliminaries -- Fuzzy and Fuzzy Neural-Network Systems: Type 1 and Type 2 -- Sliding-Mode Control: Design, Advantages and Challenges -- Sliding-Mode Fuzzy-Logic Controllers -- Sliding-Mode Fuzzy Neural-Network Controllers -- Sliding-Mode Fuzzy Neural-Network Controllers to Control Systems over Networks -- Simulation Results.
520 3 _aThis book addresses some of the challenges suffered by the well-known and robust sliding-mode control paradigm. The authors show how the fusion of fuzzy systems with sliding-mode controllers can alleviate some of these problems and promote applicability. Fuzzy systems used as soft switches eliminate high-frequency signal oscillations and can substantially lower the noise sensitivity of sliding-mode controllers. The amount of a priori knowledge required concerning the nominal structure and parameters of a nonlinear system is also shown to be much reduced by exploiting the general function-approximation property of fuzzy systems so as to use them as identifiers. The main features of this book include: • a review of various existing structures of sliding-mode fuzzy control; • a guide to the fundamental mathematics of sliding-mode fuzzy controllers and their stability analysis; • state-of-the-art procedures for the design of a sliding-mode fuzzy controller; • source codes including MATLAB® and Simulink® codes illustrating the simulation of these controllers, particularly the adaptive controllers; • a short bibliography for each chapter for readers interested in learning more on a particular subject; and • illustrative examples and simulation results to support the main claims made in the text. Academic researchers and graduate students interested in the control of nonlinear systems and particularly those working in sliding-mode controller design will find this book a valuable source of comparative information on existing controllers and ideas for the development of new ones.
988 _aSpringer_Robotics_2021
650 7 _2embne
_aControl automático
_9405125
700 1 _aKaynak, Okyay
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9681757
700 1 _aKayacan, Erdal,
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9681758
_d1980-
776 0 8 _iPrinted edition:
_z9783030691813
776 0 8 _iPrinted edition:
_z9783030691837
776 0 8 _iPrinted edition:
_z9783030691844
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-69182-0
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE