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020 _a9783030407162
024 7 _a10.1007/978-3-030-40716-2
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aTL589.4
_b2020 EB
100 1 _aMichailidis, Michail G.
_eautor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9673645
245 1 0 _aNonlinear Control of Fixed-Wing UAVs with Time-Varying and Unstructured Uncertainties
_cby Michail G. Michailidis, Kimon P. Valavanis, Matthew J. Rutherford.
250 _aFirst edition 2020.
264 1 _aCham
_bSpringer International Publishing
_c2020
300 _a1 recurso en línea (XV, 119 páginas)
_b145 ilustraciones, 101 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _aArchivo de texto
_bPDF
490 0 _aSpringer Tracts in Autonomous Systems
_x2662-5539
_v1
490 0 _aIntelligent Technologies and Robotics (Springer-42732)
505 0 _aIntroduction -- Literature Review -- Technical Problem Statement -- Controller Design -- U C2 AV Case Study -- Conclusion and Discussion.
520 3 _aThis book introduces a comprehensive and mathematically rigorous controller design for families of nonlinear systems with time-varying parameters and unstructured uncertainties. Although the presented methodology is general, the specific family of systems considered is the latest, NextGen, unconventional fixed-wing unmanned aircraft with circulation control or morphing wings, or a combination of both. The approach considers various sources of model and parameter uncertainty, while the controller design depends not on a nominal plant model, but instead on a family of admissible plants. In contrast to existing controller designs that consider multiple models and multiple controllers, the proposed approach is based on the 'one controller fits all models' within the unstructured uncertainty interval. The book presents a modeling-based analysis and synthesis approach with additive uncertainty weighting functions for accurate realization of the candidate systems. This differs significantly from existing designs in that it is capable of handling time-varying characteristics. This research monograph is suitable for scientists, engineers, researchers and graduate students with a background in control system theory who are interested in complex engineering nonlinear systems.
988 _aSpringer_Robotics_31032020
650 7 _2embne
_9667210
_aDrones
650 7 _2embne
_aSistemas de control no lineal
_9666986
700 1 _aValavanis, Kimon P.
_eautor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9673646
700 1 _aRutherford, Matthew J.
_eautor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9673647
776 0 8 _iPrinted edition:
_z9783030407155
776 0 8 _iPrinted edition:
_z9783030407179
776 0 8 _iPrinted edition:
_z9783030407186
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-40716-2
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b05/2020
_dz
_ek
_zSI