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008			210817s2022 sz | s |||| 0|eng d
020			_a9783030812140
024	7		_a10.1007/978-3-030-81214-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA402 _b2022 EB
100	1		_aSu, Xiaojie _9685920
245	1	0	_aIntelligent Control, Filtering and Model Reduction Analysis for Fuzzy-Model-Based Systems _cby Xiaojie Su, Yao Wen, Yue Yang, Peng Shi
250			_a1st edition 2022
264		1	_aCham _bSpringer International Publishing, _c2022
300			_a1 recurso en línea (XXI, 313 páginas) _b81 ilustraciones, 8 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aStudies in Systems Decision and Control _x2198-4190 _v385
505	0		_aIntroduction -- Stabilization Synthesis of T-S Fuzzy Delayed Systems -- Output Feedback Control of Fuzzy Stochastic Systems -- Output Feedback Control of Fuzzy Switching Systems -- Dissipative Filtering of Fuzzy Switched Systems -- Fault Detection for Switched Stochastic Systems -- Reliable Filtering for T-S Fuzzy Time-Delay Systems -- Reduced-Order Model Approximation of Switched Systems -- Model Reduction of Time-Varying Delay Fuzzy Systems -- Model Approximation of Fuzzy Switched Systems -- Reduced-Order Filter Design of Fuzzy Stochastic Systems -- Dissipative Event-Triggered Fuzzy Control of Truck-Trailer Systems -- Event-Triggered Fuzzy Control of Inverted Pendulum Systems -- Conclusion and Further Work.
520			_aThis book aims to introduce the state-of-the-art research of stability/performance analysis and optimal synthesis methods for fuzzy-model-based systems. A series of problems are solved with new approaches of design, analysis and synthesis of fuzzy systems, including stabilization control and stability analysis, dynamic output feedback control, fault detection filter design, and reduced-order model approximation. Some efficient techniques, such as Lyapunov stability theory, linear matrix inequality, reciprocally convex approach, and cone complementary linearization method, are utilized in the approaches. This book is a comprehensive reference for researchers and practitioners working on intelligent control, model reduction, and fault detection of fuzzy systems, and is also a useful source of information for senior undergraduates and graduates in these areas. The readers will benefit from some new concepts and methodologies with theoretical and practical significance in system analysis and control synthesis.
988			_aSpringer_Robotics_2022
650		7	_2embne _9138446 _aAnálisis de sistemas
776	0	8	_iPrinted edition: _z9783030812133
776	0	8	_iPrinted edition: _z9783030812157
776	0	8	_iPrinted edition: _z9783030812164
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-81214-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2023 _dz _eh _zSI