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020 _a9789811036774
_9978-981-10-3677-4
024 7 _a10.1007/978-981-10-3677-4
_2doi
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aGPFC
_2bicssc
072 7 _aTEC004000
_2bisacsh
072 7 _aTJFM
_2thema
082 0 4 _a629.8312
_223
082 0 4 _a003
_223
100 1 _aFeng, Yu.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_957951
245 1 0 _aRobust Control of Linear Descriptor Systems
_h[electronic resource] /
_cby Yu Feng, Mohamed Yagoubi.
250 _a1st ed. 2017.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2017.
300 _aXI, 142 p. 17 illus., 9 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Systems, Decision and Control,
_x2198-4190 ;
_v102
505 0 _aIntroduction -- Linear Time-Variant Descriptor Systems -- Dilated Linear Matrix Inequality -- Dissipative Control under Output Regulation -- Admissibility with Unstable and Nonproper Weights -- Performance with Unstable and Nonproper Weights -- Parametric Sensitivity Constrained Linear Quadratic Conrtrol -- Concluding Remarks.
520 _aThis book develops original results regarding singular dynamic systems following two different paths. The first consists of generalizing results from classical state-space cases to linear descriptor systems, such as dilated linear matrix inequality (LMI) characterizations for descriptor systems and performance control under regulation constraints. The second is a new path, which considers descriptor systems as a powerful tool for conceiving new control laws, understanding and deciphering some controller’s architecture and even homogenizing different—existing—ways of obtaining some new and/or known results for state-space systems. The book also highlights the comprehensive control problem for descriptor systems as an example of using the descriptor framework in order to transform a non-standard control problem into a classic stabilization control problem. In another section, an accurate solution is derived for the sensitivity constrained linear optimal control also using the descriptor framework. The book is intended for graduate and postgraduate students, as well as researchers in the field of systems and control theory. .
650 0 _aControl engineering.
_931970
650 0 _aSystem theory.
_93409
650 0 _aControl theory.
_93950
650 0 _aMultibody systems.
_96018
650 0 _aVibration.
_96645
650 0 _aMechanics, Applied.
_93253
650 1 4 _aControl and Systems Theory.
_931972
650 2 4 _aSystems Theory, Control .
_931597
650 2 4 _aMultibody Systems and Mechanical Vibrations.
_932157
700 1 _aYagoubi, Mohamed.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_957952
710 2 _aSpringerLink (Online service)
_957953
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811036767
776 0 8 _iPrinted edition:
_z9789811036781
776 0 8 _iPrinted edition:
_z9789811099380
830 0 _aStudies in Systems, Decision and Control,
_x2198-4190 ;
_v102
_957954
856 4 0 _uhttps://doi.org/10.1007/978-981-10-3677-4
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c80045
_d80045