| Record ID | harvard_bibliographic_metadata/ab.bib.00.20150123.full.mrc:327955700:1313 |
| Source | harvard_bibliographic_metadata |
| Download Link | /show-records/harvard_bibliographic_metadata/ab.bib.00.20150123.full.mrc:327955700:1313?format=raw |
LEADER: 01313nam a2200337 a 4500
001 000424611-X
005 20020606090541.3
008 850919s1985 wb a b 00110 eng
010 $a 85207012
020 $a0387156542 (U.S. : pbk.)
020 $a3540156542
035 0 $aocm12590874
035 0 $aocm12590874$zocm12495728$zocm12704431
040 $aDLC$cDLC$dMCS
050 0 $aQA402.3$b.O86 1985
082 0 $a003$219
100 1 $aOtter, Pieter W.
245 10 $aDynamic feature space modelling, filtering, and self-tuning control of stochastic systems :$ba systems approach with economic and social applications /$cPieter W. Otter.
260 0 $aBerlin ;$aNew York :$bSpringer-Verlag,$cc1985.
300 $axiv, 177 p. :$bill. ;$c25 cm.
440 0 $aLecture notes in economics and mathematical systems ;$v246
500 $aIncludes index.
504 $aBibliography: p. [166]-173.
650 0 $aControl theory.
650 0 $aState-space methods.
650 0 $aStochastic systems.
650 0 $aFilters (Mathematics)
650 0 $aSelf-tuning controllers.
776 08 $iOnline version:$aOtter, Pieter W.$tDynamic feature space modelling, filtering, and self-tuning control of stochastic systems.$dBerlin ; New York : Springer-Verlag, ©1985$w(OCoLC)820722634
988 $a20020608
906 $0DLC