Stochastic processes, estimation, and control: the entropy approach
In this, the first introductory book on stochastic processes in twenty years, leading theoretician George Saridis provides a modern innovative approach that applies the most recent advances in probabilistic processes to such areas as communications and robotics technology
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
New York u.a.
Wiley
1995
|
Schlagworte: | |
Zusammenfassung: | In this, the first introductory book on stochastic processes in twenty years, leading theoretician George Saridis provides a modern innovative approach that applies the most recent advances in probabilistic processes to such areas as communications and robotics technology Stochastic Processes, Estimation, and Control: The Entropy Approach is designed as a text for graduate courses in dynamic programming and stochastic control, stochastic processes, or applied probability in the engineering or mathematical/computational science departments, and as a guide for the practicing engineer and researcher it offers a lucid discussion of parameter estimation based on least square techniques, an in-depth investigation of the estimation of the states of a stochastic linear and nonlinear dynamic system, and a modified derivation of the linear-quadratic Gaussian optimal control problem. Professor Saridis's presentation of estimation and control theory is thorough, but avoids the use of advanced mathematics. A new theory of approximation of the optimal solution for nonlinear stochastic systems is presented as a general engineering tool, and the whole area of stochastic processes, estimation, and control is recast using entropy as a measure |
Beschreibung: | XII, 230 S. graph. Darst. |
ISBN: | 047109756X |
Internformat
MARC
LEADER | 00000nam a2200000 c 4500 | ||
---|---|---|---|
001 | BV014631656 | ||
003 | DE-604 | ||
005 | 00000000000000.0 | ||
007 | t | ||
008 | 020813s1995 d||| |||| 00||| eng d | ||
020 | |a 047109756X |9 0-471-09756-X | ||
035 | |a (OCoLC)30976583 | ||
035 | |a (DE-599)BVBBV014631656 | ||
040 | |a DE-604 |b ger |e rakwb | ||
041 | 0 | |a eng | |
049 | |a DE-19 |a DE-188 | ||
050 | 0 | |a QA274 | |
082 | 0 | |a 003/.76/0115 |2 20 | |
084 | |a QH 170 |0 (DE-625)141536: |2 rvk | ||
100 | 1 | |a Saridis, George N. |e Verfasser |4 aut | |
245 | 1 | 0 | |a Stochastic processes, estimation, and control |b the entropy approach |c George N. Saridis |
264 | 1 | |a New York u.a. |b Wiley |c 1995 | |
300 | |a XII, 230 S. |b graph. Darst. | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
520 | 3 | |a In this, the first introductory book on stochastic processes in twenty years, leading theoretician George Saridis provides a modern innovative approach that applies the most recent advances in probabilistic processes to such areas as communications and robotics technology | |
520 | |a Stochastic Processes, Estimation, and Control: The Entropy Approach is designed as a text for graduate courses in dynamic programming and stochastic control, stochastic processes, or applied probability in the engineering or mathematical/computational science departments, and as a guide for the practicing engineer and researcher it offers a lucid discussion of parameter estimation based on least square techniques, an in-depth investigation of the estimation of the states of a stochastic linear and nonlinear dynamic system, and a modified derivation of the linear-quadratic Gaussian optimal control problem. Professor Saridis's presentation of estimation and control theory is thorough, but avoids the use of advanced mathematics. A new theory of approximation of the optimal solution for nonlinear stochastic systems is presented as a general engineering tool, and the whole area of stochastic processes, estimation, and control is recast using entropy as a measure | ||
650 | 4 | |a Control theory | |
650 | 4 | |a Entropy | |
650 | 4 | |a Stochastic processes | |
650 | 0 | 7 | |a Entropie |0 (DE-588)4014894-4 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Optimale Kontrolle |0 (DE-588)4121428-6 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Parameterschätzung |0 (DE-588)4044614-1 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Stochastischer Prozess |0 (DE-588)4057630-9 |2 gnd |9 rswk-swf |
689 | 0 | 0 | |a Stochastischer Prozess |0 (DE-588)4057630-9 |D s |
689 | 0 | |5 DE-604 | |
689 | 1 | 0 | |a Entropie |0 (DE-588)4014894-4 |D s |
689 | 1 | |8 1\p |5 DE-604 | |
689 | 2 | 0 | |a Parameterschätzung |0 (DE-588)4044614-1 |D s |
689 | 2 | |8 2\p |5 DE-604 | |
689 | 3 | 0 | |a Optimale Kontrolle |0 (DE-588)4121428-6 |D s |
689 | 3 | |8 3\p |5 DE-604 | |
999 | |a oai:aleph.bib-bvb.de:BVB01-009941678 | ||
883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
883 | 1 | |8 2\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
883 | 1 | |8 3\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk |
Datensatz im Suchindex
_version_ | 1804129403615051776 |
---|---|
any_adam_object | |
author | Saridis, George N. |
author_facet | Saridis, George N. |
author_role | aut |
author_sort | Saridis, George N. |
author_variant | g n s gn gns |
building | Verbundindex |
bvnumber | BV014631656 |
callnumber-first | Q - Science |
callnumber-label | QA274 |
callnumber-raw | QA274 |
callnumber-search | QA274 |
callnumber-sort | QA 3274 |
callnumber-subject | QA - Mathematics |
classification_rvk | QH 170 |
ctrlnum | (OCoLC)30976583 (DE-599)BVBBV014631656 |
dewey-full | 003/.76/0115 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 003 - Systems |
dewey-raw | 003/.76/0115 |
dewey-search | 003/.76/0115 |
dewey-sort | 13 276 3115 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik Wirtschaftswissenschaften |
format | Book |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03075nam a2200529 c 4500</leader><controlfield tag="001">BV014631656</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">020813s1995 d||| |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">047109756X</subfield><subfield code="9">0-471-09756-X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)30976583</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV014631656</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-19</subfield><subfield code="a">DE-188</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">QA274</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">003/.76/0115</subfield><subfield code="2">20</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">QH 170</subfield><subfield code="0">(DE-625)141536:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Saridis, George N.</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Stochastic processes, estimation, and control</subfield><subfield code="b">the entropy approach</subfield><subfield code="c">George N. Saridis</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">New York u.a.</subfield><subfield code="b">Wiley</subfield><subfield code="c">1995</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">XII, 230 S.</subfield><subfield code="b">graph. Darst.</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">In this, the first introductory book on stochastic processes in twenty years, leading theoretician George Saridis provides a modern innovative approach that applies the most recent advances in probabilistic processes to such areas as communications and robotics technology</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Stochastic Processes, Estimation, and Control: The Entropy Approach is designed as a text for graduate courses in dynamic programming and stochastic control, stochastic processes, or applied probability in the engineering or mathematical/computational science departments, and as a guide for the practicing engineer and researcher it offers a lucid discussion of parameter estimation based on least square techniques, an in-depth investigation of the estimation of the states of a stochastic linear and nonlinear dynamic system, and a modified derivation of the linear-quadratic Gaussian optimal control problem. Professor Saridis's presentation of estimation and control theory is thorough, but avoids the use of advanced mathematics. A new theory of approximation of the optimal solution for nonlinear stochastic systems is presented as a general engineering tool, and the whole area of stochastic processes, estimation, and control is recast using entropy as a measure</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Control theory</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Entropy</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Stochastic processes</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Entropie</subfield><subfield code="0">(DE-588)4014894-4</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Optimale Kontrolle</subfield><subfield code="0">(DE-588)4121428-6</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Parameterschätzung</subfield><subfield code="0">(DE-588)4044614-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Stochastischer Prozess</subfield><subfield code="0">(DE-588)4057630-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Stochastischer Prozess</subfield><subfield code="0">(DE-588)4057630-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="1" ind2="0"><subfield code="a">Entropie</subfield><subfield code="0">(DE-588)4014894-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="2" ind2="0"><subfield code="a">Parameterschätzung</subfield><subfield code="0">(DE-588)4044614-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="2" ind2=" "><subfield code="8">2\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="3" ind2="0"><subfield code="a">Optimale Kontrolle</subfield><subfield code="0">(DE-588)4121428-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="3" ind2=" "><subfield code="8">3\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-009941678</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">2\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">3\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield></record></collection> |
id | DE-604.BV014631656 |
illustrated | Illustrated |
indexdate | 2024-07-09T19:04:35Z |
institution | BVB |
isbn | 047109756X |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-009941678 |
oclc_num | 30976583 |
open_access_boolean | |
owner | DE-19 DE-BY-UBM DE-188 |
owner_facet | DE-19 DE-BY-UBM DE-188 |
physical | XII, 230 S. graph. Darst. |
publishDate | 1995 |
publishDateSearch | 1995 |
publishDateSort | 1995 |
publisher | Wiley |
record_format | marc |
spelling | Saridis, George N. Verfasser aut Stochastic processes, estimation, and control the entropy approach George N. Saridis New York u.a. Wiley 1995 XII, 230 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier In this, the first introductory book on stochastic processes in twenty years, leading theoretician George Saridis provides a modern innovative approach that applies the most recent advances in probabilistic processes to such areas as communications and robotics technology Stochastic Processes, Estimation, and Control: The Entropy Approach is designed as a text for graduate courses in dynamic programming and stochastic control, stochastic processes, or applied probability in the engineering or mathematical/computational science departments, and as a guide for the practicing engineer and researcher it offers a lucid discussion of parameter estimation based on least square techniques, an in-depth investigation of the estimation of the states of a stochastic linear and nonlinear dynamic system, and a modified derivation of the linear-quadratic Gaussian optimal control problem. Professor Saridis's presentation of estimation and control theory is thorough, but avoids the use of advanced mathematics. A new theory of approximation of the optimal solution for nonlinear stochastic systems is presented as a general engineering tool, and the whole area of stochastic processes, estimation, and control is recast using entropy as a measure Control theory Entropy Stochastic processes Entropie (DE-588)4014894-4 gnd rswk-swf Optimale Kontrolle (DE-588)4121428-6 gnd rswk-swf Parameterschätzung (DE-588)4044614-1 gnd rswk-swf Stochastischer Prozess (DE-588)4057630-9 gnd rswk-swf Stochastischer Prozess (DE-588)4057630-9 s DE-604 Entropie (DE-588)4014894-4 s 1\p DE-604 Parameterschätzung (DE-588)4044614-1 s 2\p DE-604 Optimale Kontrolle (DE-588)4121428-6 s 3\p DE-604 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Saridis, George N. Stochastic processes, estimation, and control the entropy approach Control theory Entropy Stochastic processes Entropie (DE-588)4014894-4 gnd Optimale Kontrolle (DE-588)4121428-6 gnd Parameterschätzung (DE-588)4044614-1 gnd Stochastischer Prozess (DE-588)4057630-9 gnd |
subject_GND | (DE-588)4014894-4 (DE-588)4121428-6 (DE-588)4044614-1 (DE-588)4057630-9 |
title | Stochastic processes, estimation, and control the entropy approach |
title_auth | Stochastic processes, estimation, and control the entropy approach |
title_exact_search | Stochastic processes, estimation, and control the entropy approach |
title_full | Stochastic processes, estimation, and control the entropy approach George N. Saridis |
title_fullStr | Stochastic processes, estimation, and control the entropy approach George N. Saridis |
title_full_unstemmed | Stochastic processes, estimation, and control the entropy approach George N. Saridis |
title_short | Stochastic processes, estimation, and control |
title_sort | stochastic processes estimation and control the entropy approach |
title_sub | the entropy approach |
topic | Control theory Entropy Stochastic processes Entropie (DE-588)4014894-4 gnd Optimale Kontrolle (DE-588)4121428-6 gnd Parameterschätzung (DE-588)4044614-1 gnd Stochastischer Prozess (DE-588)4057630-9 gnd |
topic_facet | Control theory Entropy Stochastic processes Entropie Optimale Kontrolle Parameterschätzung Stochastischer Prozess |
work_keys_str_mv | AT saridisgeorgen stochasticprocessesestimationandcontroltheentropyapproach |