000 03998nam a22005535i 4500
001 978-3-319-70149-3
003 DE-He213
005 20220801220155.0
007 cr nn 008mamaa
008 171125s2018 sz | s |||| 0|eng d
020 _a9783319701493
_9978-3-319-70149-3
024 7 _a10.1007/978-3-319-70149-3
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aDey, Rajeeb.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_948757
245 1 0 _aStability and Stabilization of Linear and Fuzzy Time-Delay Systems
_h[electronic resource] :
_bA Linear Matrix Inequality Approach /
_cby Rajeeb Dey, Goshaidas Ray, Valentina Emilia Balas.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXX, 267 p. 43 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aIntelligent Systems Reference Library,
_x1868-4408 ;
_v141
520 _aThis book provides a clear understanding in formulating stability analysis and state feedback control of retarded time delay systems using Lyapunov’s second method in an LMI framework. The chapters offer a clear overview of the evolution of stability analysis in terms of the construction of a Lyapunov functional and use of the integral inequalities in order to reduce the gap of delay upper bound estimate compared to frequency domain method through existing and proposed stability theorems. Power system engineering problem has been presented here to give readers fair idea on applicability of the model and method for solving engineering problems. Without deviating from the framework of analysis more complex dynamics of the system have been dealt with here that includes actuator saturation and thereby ascertaining local stability for an estimated time-delay and domain of attraction. Nonlinearity in a time-delay system has been dealt with in the T-S fuzzy modeling approach. This book is useful as a textbook for Master’s students and advanced researcher working in the field of control system engineering, and for practicing engineers dealing with such complex dynamical systems. The strengths of the book are lucidity of presentation, lucidity of solution method, MATLAB programs given in the appendix that help the novice researcher to carry out research in this area independently, clear idea about the formulation of desired stability and control problem in a LMI framework, application problem provided can motivate students and researcher to recast their problems in the similar framework easily, helpful for readers to use the stability (stabilization) conditions or formulate their own stability conditions easily for a complicated linear or nonlinear dynamical system.
650 0 _aComputational intelligence.
_97716
650 0 _aArtificial intelligence.
_93407
650 0 _aControl engineering.
_931970
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aControl and Systems Theory.
_931972
700 1 _aRay, Goshaidas.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_948758
700 1 _aEmilia Balas, Valentina.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_948759
710 2 _aSpringerLink (Online service)
_948760
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319701479
776 0 8 _iPrinted edition:
_z9783319701486
776 0 8 _iPrinted edition:
_z9783319888927
830 0 _aIntelligent Systems Reference Library,
_x1868-4408 ;
_v141
_948761
856 4 0 _uhttps://doi.org/10.1007/978-3-319-70149-3
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c78283
_d78283