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020 _a9783319927046
024 7 _a10.1007/978-3-319-92704-6
_2doi
040 _bspa
_dES-MaUEC
_cES-MaUEC
050 4 _aTJ223.T5
_b2019 EB
100 1 _aKwon, Wook Hyun
_eautor
_9671115
245 1 0 _aStabilizing and optimizing control for time-delay dystems :
_bincluding model predictive controls
_cby Wook Hyun Kwon, PooGyeon Park
264 1 _aCham
_bSpringer International Publishing :
_bImprint: Springer
_c2019
300 _a1 recurso en línea (XVII, 425 páginas)
_b18 ilustraciones
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
_2rda
490 0 _aCommunications and Control Engineering
_x0178-5354
490 0 _aIntelligent Technologies and Robotics (Springer-42732)
505 0 _aIntroduction -- Stability of Time-Delay Systems -- State Feedback Stabilizing Controls -- Output Feedback Stabilizing Controls -- Guaranteed Cost Controls -- LQ Optimal Controls -- LQG Optimal Controls -- H∞ Optimal Controls -- Appendix -- Reference -- Index.
520 3 _aStabilizing and Optimizing Control for Time-Delay Systems introduces three important classes of stabilizing controls for time-delay systems: non-optimal (without performance criteria); suboptimal (including guaranteed costs); and optimal controls. Each class is treated in detail and compared in terms of prior control structures. State- and input-delayed systems are considered. The book provides a unified mathematical framework with common notation being used throughout. Receding-horizon, or model predictive, linear quadratic (LQ), linear-quadratic-Gaussian and H∞ controls for time-delay systems are chosen as optimal stabilizing controls. Cost monotonicity is investigated in order to guarantee the asymptotic stability of closed-loop systems operating with such controls. The authors use guaranteed LQ and H∞ controls as representative sub-optimal methods; these are obtained with pre-determined control structures and certain upper bounds of performance criteria. Non-optimal stabilizing controls are obtained with predetermined control structures but with no performance criteria. Recently developed inequalities are exploited to obtain less conservative results. To facilitate computation, the authors use linear matrix inequalities to represent gain matrices for non-optimal and sub-optimal stabilizing controls, and all the initial conditions of coupled differential Riccati equations of optimal stabilizing controls. Numerical examples are provided with MATLAB® codes (downloadable from http://extras.springer.com.ezproxy.universidadeuropea.es/) to give readers guidance in working with more difficult optimal and suboptimal controls. Academic researchers studying control of a variety of real processes in chemistry, biology, transportation, digital communication networks and mechanical systems that are subject to time delays will find the results presented in Stabilizing and Optimizing Control for Time-Delay Systems to be helpful in their work. Practitioners working in related sectors of industry will also find this book to be of use in developing real-world control systems for the many time-delayed processes they encounter.
988 _aPrimersemestre_2019_Robotics
650 7 _2embne
_aControl automático
_9405125
650 7 _2embne
_aIngeniería de sistemas
_9138451
700 1 _aPark, PooGyeon.
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
776 0 8 _iPrinted edition:
_z9783319927039
776 0 8 _iPrinted edition:
_z9783319927053
776 0 8 _iPrinted edition:
_z9783030064969
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-92704-6
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _aSI
_cm
_dz
_feng
_ggw
_h0
_b10/2019
_eel
_zSI