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020 _a9783319962023
024 7 _a10.1007/978-3-319-96202-3
_2doi
040 _bspa
_dES-MaUEC
_cES-MaUEC
050 4 _aQA402.3
_b2019 EB
100 1 _aPark, Ju H.
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9670621
245 1 0 _aRecent Advances in Control and Filtering of Dynamic Systems with Constrained Signals
_cby Ju H. Park, Hao Shen, Xiao-Heng Chang, Tae H. Lee.
264 1 _aCham
_bSpringer International Publishing :
_bImprint: Springer
_c2019.
300 _a 1 recurso en línea (XXVII, 226 páginas)
_b56 ilustraciones,54 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aStudies in Systems Decision and Control
_x2198-4182
_v170
490 0 _aIntelligent Technologies and Robotics (Springer-42732)
505 0 _aIntroduction -- Network-based Control with Asynchronous Samplings and Quantizations -- Quantized Static Output Feedback Control For Discrete-Time Systems -- Sampled-Data Control for a Class of Linear Systems with Randomly Occurring Missing Data -- Reliable Event-triggered Retarded Dynamic Output Feedback H∞ Control for Networked Systems -- Reliable H∞ Event-triggered Control for Markov Jump Systems -- Fuzzy Resilient Energy-to-Peak Filter Design for Continuous-time Nonlinear Systems -- Fuzzy Generalized H2 Filtering For Nonlinear Discrete-Time Systems With Measurement Quantization -- Event-triggered Dissipative Filtering for Networked semi-Markov Jump Systems -- Network-based H∞ State Estimation for Neural Networks Using Limited Measurement -- Mixed H∞/passive Synchronization for Complex Dynamical Networks with Sampled-data Control -- Index.
520 3 _aThis book introduces the principle theories and applications of control and filtering problems to address emerging hot topics in feedback systems. With the development of IT technology at the core of the 4th industrial revolution, dynamic systems are becoming more sophisticated, networked, and advanced to achieve even better performance. However, this evolutionary advance in dynamic systems also leads to unavoidable constraints. In particular, such elements in control systems involve uncertainties, communication/transmission delays, external noise, sensor faults and failures, data packet dropouts, sampling and quantization errors, and switching phenomena, which have serious effects on the system's stability and performance. This book discusses how to deal with such constraints to guarantee the system's design objectives, focusing on real-world dynamical systems such as Markovian jump systems, networked control systems, neural networks, and complex networks, which have recently excited considerable attention. It also provides a number of practical examples to show the applicability of the presented methods and techniques. This book is of interest to graduate students, researchers and professors, as well as R&D engineers involved in control theory and applications looking to analyze dynamical systems with constraints and to synthesize various types of corresponding controllers and filters for optimal performance of feedback systems.
988 _aPrimersemestre_2019_Robotics
650 7 _aControl, Teoría de
_9145606
_2embne
700 1 _aShen, Hao
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9670622
700 1 _aChang, Xiao-Heng
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9670623
700 1 _aLee, Tae H.
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9670624
776 0 8 _iPrinted edition:
_z9783319962016
776 0 8 _iPrinted edition:
_z9783319962030
776 0 8 _iPrinted edition:
_z9783030071547
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-96202-3
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _aSI
_b09/2019
_cm
_dz
_ea
_feng
_ggw
_h0