MARC Record from marc_columbia

LEADER: 02188mam a2200313 a 4500
001 2336008
005 20220616023311.0
008 980520t19991999maua b 001 0 eng
010 $a 98025177
020 $a0256246394
035 $a(OCoLC)ocm39189957
035 $9APL0204CU
035 $a2336008
040 $aDLC$cDLC$dOrLoB-B
050 00 $aQA402$b.B39 1999
082 00 $a003/.74$221
100 1 $aBay, John S.$0http://id.loc.gov/authorities/names/n98047038
245 10 $aFundamentals of linear state space systems /$cJohn S. Bay.
260 $aBoston :$bWCB/McGraw-Hill,$c[1999], ©1999.
300 $axviii, 571 pages :$billustrations ;$c25 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
504 $aIncludes bibliographical references and index.
505 00 $gPt. I.$tMathematical Introduction to State Space.$g1.$tModels of Linear Systems.$g2.$tVectors and Vector Spaces.$g3.$tLinear Operators on Vector Spaces.$g4.$tEigenvalues and Eigenvectors.$g5.$tFunctions of Vectors and Matrices --$gPt. II.$tAnalysis and Control of State Space Systems.$g6.$tSolutions to State Equations.$g7.$tSystem Stability.$g8.$tControllability and Observability.$g9.$tSystem Realizations.$g10.$tState Feedback and Observers.$g11.$tIntroduction to Optimal Control and Estimation.$gA.$tMathematical Tables and Identities --$gB.$tMATLAB Command Summaries.
520 1 $a"Spans a broad range of linear system theory concepts, but does so in a complete and sequential style. It is suitable for a first-year graduate or advanced undergraduate course in any field of engineering. State space methods are derived from first principles while drawing on the students' previous understanding of physical and mathematical concepts.
520 8 $aThe text requires only a knowledge of basic signals and systems theory, but takes the student, in a single semester, all the way through state feedback, observers, Kalman filters, and elementary I.Q.G. control."--BOOK JACKET.
650 0 $aLinear systems.$0http://id.loc.gov/authorities/subjects/sh85077183
650 0 $aState-space methods.$0http://id.loc.gov/authorities/subjects/sh85127512
852 00 $boff,eng$hQA402$i.B39 1999