Analysis and Control of Nonlinear Process Systems:
Almost all process systems are nonlinear in nature. Nonlinear control is traditionally an area of interest in process systems engineering which is of great practical importance. These facts notwithstanding, many process engineers have difficulty with the paradigms and results of modern nonlinear con...
Gespeichert in:
Hauptverfasser: | , , |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
London
Springer London
2004
|
Schriftenreihe: | Advanced Textbooks in Control and Signal Processing
|
Schlagworte: | |
Online-Zugang: | FHI01 BTU01 Volltext |
Zusammenfassung: | Almost all process systems are nonlinear in nature. Nonlinear control is traditionally an area of interest in process systems engineering which is of great practical importance. These facts notwithstanding, many process engineers have difficulty with the paradigms and results of modern nonlinear control theory because they lack the mathematical background usually associated with such methods or because of their computational difficulty and small-scale applicability in the general case. Analysis and Control of Nonlinear Process Systems overcomes these barriers. Features: • The necessary mathematical preliminaries for readers from a process engineering background. • Constant reference to the widely-known finite-dimensional linear time-invariant continuous case as a basis for extension to the nonlinear situation. • The most promising theories and analytical methods for nonlinear process control laid out clearly and straightforwardly with exercises to reaffirm the techniques as they are taught. • Emphasis on the importance of process knowledge and first-principles-based models in obtaining feasible and effective solutions in particular circumstances from general cases. • Illustration of applications with simple examples and case studies. Analysis and Control of Nonlinear Process Systems will interest graduate process engineers wishing to study advanced control methods either with a view to further research or application in industry as well as to academics seeking to move process control courses into more complicated but up-to-date territory. It will also be a great assistance to those in their senior undergraduate years who will form the next generation of industrial process engineers and need unfussy access to the most modern nonlinear control ideas |
Beschreibung: | 1 Online-Ressource (XXVI, 310 p) |
ISBN: | 9781852338619 |
DOI: | 10.1007/b97665 |
Internformat
MARC
LEADER | 00000nmm a2200000zc 4500 | ||
---|---|---|---|
001 | BV045149103 | ||
003 | DE-604 | ||
005 | 00000000000000.0 | ||
007 | cr|uuu---uuuuu | ||
008 | 180827s2004 |||| o||u| ||||||eng d | ||
020 | |a 9781852338619 |9 978-1-85233-861-9 | ||
024 | 7 | |a 10.1007/b97665 |2 doi | |
035 | |a (ZDB-2-ENG)978-1-85233-861-9 | ||
035 | |a (OCoLC)890429945 | ||
035 | |a (DE-599)BVBBV045149103 | ||
040 | |a DE-604 |b ger |e aacr | ||
041 | 0 | |a eng | |
049 | |a DE-573 |a DE-634 | ||
082 | 0 | |a 515.39 |2 23 | |
082 | 0 | |a 515.48 |2 23 | |
084 | |a ZQ 5220 |0 (DE-625)158118: |2 rvk | ||
084 | |a ZQ 5224 |0 (DE-625)158120: |2 rvk | ||
100 | 1 | |a Hangos, K. M. |e Verfasser |4 aut | |
245 | 1 | 0 | |a Analysis and Control of Nonlinear Process Systems |c by K. M. Hangos, J. Bokor, G. Szederkényi |
264 | 1 | |a London |b Springer London |c 2004 | |
300 | |a 1 Online-Ressource (XXVI, 310 p) | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
490 | 0 | |a Advanced Textbooks in Control and Signal Processing | |
520 | |a Almost all process systems are nonlinear in nature. Nonlinear control is traditionally an area of interest in process systems engineering which is of great practical importance. These facts notwithstanding, many process engineers have difficulty with the paradigms and results of modern nonlinear control theory because they lack the mathematical background usually associated with such methods or because of their computational difficulty and small-scale applicability in the general case. Analysis and Control of Nonlinear Process Systems overcomes these barriers. Features: • The necessary mathematical preliminaries for readers from a process engineering background. • Constant reference to the widely-known finite-dimensional linear time-invariant continuous case as a basis for extension to the nonlinear situation. • The most promising theories and analytical methods for nonlinear process control laid out clearly and straightforwardly with exercises to reaffirm the techniques as they are taught. • Emphasis on the importance of process knowledge and first-principles-based models in obtaining feasible and effective solutions in particular circumstances from general cases. • Illustration of applications with simple examples and case studies. Analysis and Control of Nonlinear Process Systems will interest graduate process engineers wishing to study advanced control methods either with a view to further research or application in industry as well as to academics seeking to move process control courses into more complicated but up-to-date territory. It will also be a great assistance to those in their senior undergraduate years who will form the next generation of industrial process engineers and need unfussy access to the most modern nonlinear control ideas | ||
650 | 4 | |a Mathematics | |
650 | 4 | |a Dynamical Systems and Ergodic Theory | |
650 | 4 | |a Electrical Engineering | |
650 | 4 | |a Control | |
650 | 4 | |a Industrial Chemistry/Chemical Engineering | |
650 | 4 | |a Systems Theory, Control | |
650 | 4 | |a Industrial and Production Engineering | |
650 | 4 | |a Mathematics | |
650 | 4 | |a Chemical engineering | |
650 | 4 | |a Dynamics | |
650 | 4 | |a Ergodic theory | |
650 | 4 | |a System theory | |
650 | 4 | |a Control engineering | |
650 | 4 | |a Industrial engineering | |
650 | 4 | |a Production engineering | |
650 | 4 | |a Electrical engineering | |
650 | 0 | 7 | |a Rückkopplung |0 (DE-588)4050851-1 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Prozessmodell |0 (DE-588)4237203-3 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Prozessregelung |0 (DE-588)4222919-4 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Nichtlineares Regelungssystem |0 (DE-588)4276212-1 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Stabilität |0 (DE-588)4056693-6 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Beobachtbarkeit |0 (DE-588)4207840-4 |2 gnd |9 rswk-swf |
689 | 0 | 0 | |a Prozessregelung |0 (DE-588)4222919-4 |D s |
689 | 0 | 1 | |a Nichtlineares Regelungssystem |0 (DE-588)4276212-1 |D s |
689 | 0 | 2 | |a Prozessmodell |0 (DE-588)4237203-3 |D s |
689 | 0 | 3 | |a Stabilität |0 (DE-588)4056693-6 |D s |
689 | 0 | 4 | |a Rückkopplung |0 (DE-588)4050851-1 |D s |
689 | 0 | 5 | |a Beobachtbarkeit |0 (DE-588)4207840-4 |D s |
689 | 0 | |8 1\p |5 DE-604 | |
700 | 1 | |a Bokor, J. |4 aut | |
700 | 1 | |a Szederkényi, G. |4 aut | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9781852336004 |
856 | 4 | 0 | |u https://doi.org/10.1007/b97665 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
912 | |a ZDB-2-ENG | ||
940 | 1 | |q ZDB-2-ENG_2000/2004 | |
999 | |a oai:aleph.bib-bvb.de:BVB01-030538802 | ||
883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
966 | e | |u https://doi.org/10.1007/b97665 |l FHI01 |p ZDB-2-ENG |q ZDB-2-ENG_2000/2004 |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/b97665 |l BTU01 |p ZDB-2-ENG |q ZDB-2-ENG_Archiv |x Verlag |3 Volltext |
Datensatz im Suchindex
_version_ | 1804178820234739712 |
---|---|
any_adam_object | |
author | Hangos, K. M. Bokor, J. Szederkényi, G. |
author_facet | Hangos, K. M. Bokor, J. Szederkényi, G. |
author_role | aut aut aut |
author_sort | Hangos, K. M. |
author_variant | k m h km kmh j b jb g s gs |
building | Verbundindex |
bvnumber | BV045149103 |
classification_rvk | ZQ 5220 ZQ 5224 |
collection | ZDB-2-ENG |
ctrlnum | (ZDB-2-ENG)978-1-85233-861-9 (OCoLC)890429945 (DE-599)BVBBV045149103 |
dewey-full | 515.39 515.48 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 515 - Analysis |
dewey-raw | 515.39 515.48 |
dewey-search | 515.39 515.48 |
dewey-sort | 3515.39 |
dewey-tens | 510 - Mathematics |
discipline | Mathematik Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
doi_str_mv | 10.1007/b97665 |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04821nmm a2200805zc 4500</leader><controlfield tag="001">BV045149103</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">180827s2004 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781852338619</subfield><subfield code="9">978-1-85233-861-9</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/b97665</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-2-ENG)978-1-85233-861-9</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)890429945</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV045149103</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-573</subfield><subfield code="a">DE-634</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">515.39</subfield><subfield code="2">23</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">515.48</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ZQ 5220</subfield><subfield code="0">(DE-625)158118:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ZQ 5224</subfield><subfield code="0">(DE-625)158120:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Hangos, K. M.</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Analysis and Control of Nonlinear Process Systems</subfield><subfield code="c">by K. M. Hangos, J. Bokor, G. Szederkényi</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">London</subfield><subfield code="b">Springer London</subfield><subfield code="c">2004</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XXVI, 310 p)</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">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Advanced Textbooks in Control and Signal Processing</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Almost all process systems are nonlinear in nature. Nonlinear control is traditionally an area of interest in process systems engineering which is of great practical importance. These facts notwithstanding, many process engineers have difficulty with the paradigms and results of modern nonlinear control theory because they lack the mathematical background usually associated with such methods or because of their computational difficulty and small-scale applicability in the general case. Analysis and Control of Nonlinear Process Systems overcomes these barriers. Features: • The necessary mathematical preliminaries for readers from a process engineering background. • Constant reference to the widely-known finite-dimensional linear time-invariant continuous case as a basis for extension to the nonlinear situation. • The most promising theories and analytical methods for nonlinear process control laid out clearly and straightforwardly with exercises to reaffirm the techniques as they are taught. • Emphasis on the importance of process knowledge and first-principles-based models in obtaining feasible and effective solutions in particular circumstances from general cases. • Illustration of applications with simple examples and case studies. Analysis and Control of Nonlinear Process Systems will interest graduate process engineers wishing to study advanced control methods either with a view to further research or application in industry as well as to academics seeking to move process control courses into more complicated but up-to-date territory. It will also be a great assistance to those in their senior undergraduate years who will form the next generation of industrial process engineers and need unfussy access to the most modern nonlinear control ideas</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mathematics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Dynamical Systems and Ergodic Theory</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Electrical Engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Control</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Industrial Chemistry/Chemical Engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Systems Theory, Control</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Industrial and Production Engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mathematics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Chemical engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Dynamics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Ergodic theory</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">System theory</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Control engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Industrial engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Production engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Electrical engineering</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Rückkopplung</subfield><subfield code="0">(DE-588)4050851-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Prozessmodell</subfield><subfield code="0">(DE-588)4237203-3</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Prozessregelung</subfield><subfield code="0">(DE-588)4222919-4</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Nichtlineares Regelungssystem</subfield><subfield code="0">(DE-588)4276212-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Stabilität</subfield><subfield code="0">(DE-588)4056693-6</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Beobachtbarkeit</subfield><subfield code="0">(DE-588)4207840-4</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Prozessregelung</subfield><subfield code="0">(DE-588)4222919-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Nichtlineares Regelungssystem</subfield><subfield code="0">(DE-588)4276212-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Prozessmodell</subfield><subfield code="0">(DE-588)4237203-3</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="3"><subfield code="a">Stabilität</subfield><subfield code="0">(DE-588)4056693-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="4"><subfield code="a">Rückkopplung</subfield><subfield code="0">(DE-588)4050851-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="5"><subfield code="a">Beobachtbarkeit</subfield><subfield code="0">(DE-588)4207840-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="8">1\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bokor, J.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Szederkényi, G.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9781852336004</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/b97665</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-2-ENG</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">ZDB-2-ENG_2000/2004</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-030538802</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="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/b97665</subfield><subfield code="l">FHI01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="q">ZDB-2-ENG_2000/2004</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/b97665</subfield><subfield code="l">BTU01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="q">ZDB-2-ENG_Archiv</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
id | DE-604.BV045149103 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T08:10:03Z |
institution | BVB |
isbn | 9781852338619 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030538802 |
oclc_num | 890429945 |
open_access_boolean | |
owner | DE-573 DE-634 |
owner_facet | DE-573 DE-634 |
physical | 1 Online-Ressource (XXVI, 310 p) |
psigel | ZDB-2-ENG ZDB-2-ENG_2000/2004 ZDB-2-ENG ZDB-2-ENG_2000/2004 ZDB-2-ENG ZDB-2-ENG_Archiv |
publishDate | 2004 |
publishDateSearch | 2004 |
publishDateSort | 2004 |
publisher | Springer London |
record_format | marc |
series2 | Advanced Textbooks in Control and Signal Processing |
spelling | Hangos, K. M. Verfasser aut Analysis and Control of Nonlinear Process Systems by K. M. Hangos, J. Bokor, G. Szederkényi London Springer London 2004 1 Online-Ressource (XXVI, 310 p) txt rdacontent c rdamedia cr rdacarrier Advanced Textbooks in Control and Signal Processing Almost all process systems are nonlinear in nature. Nonlinear control is traditionally an area of interest in process systems engineering which is of great practical importance. These facts notwithstanding, many process engineers have difficulty with the paradigms and results of modern nonlinear control theory because they lack the mathematical background usually associated with such methods or because of their computational difficulty and small-scale applicability in the general case. Analysis and Control of Nonlinear Process Systems overcomes these barriers. Features: • The necessary mathematical preliminaries for readers from a process engineering background. • Constant reference to the widely-known finite-dimensional linear time-invariant continuous case as a basis for extension to the nonlinear situation. • The most promising theories and analytical methods for nonlinear process control laid out clearly and straightforwardly with exercises to reaffirm the techniques as they are taught. • Emphasis on the importance of process knowledge and first-principles-based models in obtaining feasible and effective solutions in particular circumstances from general cases. • Illustration of applications with simple examples and case studies. Analysis and Control of Nonlinear Process Systems will interest graduate process engineers wishing to study advanced control methods either with a view to further research or application in industry as well as to academics seeking to move process control courses into more complicated but up-to-date territory. It will also be a great assistance to those in their senior undergraduate years who will form the next generation of industrial process engineers and need unfussy access to the most modern nonlinear control ideas Mathematics Dynamical Systems and Ergodic Theory Electrical Engineering Control Industrial Chemistry/Chemical Engineering Systems Theory, Control Industrial and Production Engineering Chemical engineering Dynamics Ergodic theory System theory Control engineering Industrial engineering Production engineering Electrical engineering Rückkopplung (DE-588)4050851-1 gnd rswk-swf Prozessmodell (DE-588)4237203-3 gnd rswk-swf Prozessregelung (DE-588)4222919-4 gnd rswk-swf Nichtlineares Regelungssystem (DE-588)4276212-1 gnd rswk-swf Stabilität (DE-588)4056693-6 gnd rswk-swf Beobachtbarkeit (DE-588)4207840-4 gnd rswk-swf Prozessregelung (DE-588)4222919-4 s Nichtlineares Regelungssystem (DE-588)4276212-1 s Prozessmodell (DE-588)4237203-3 s Stabilität (DE-588)4056693-6 s Rückkopplung (DE-588)4050851-1 s Beobachtbarkeit (DE-588)4207840-4 s 1\p DE-604 Bokor, J. aut Szederkényi, G. aut Erscheint auch als Druck-Ausgabe 9781852336004 https://doi.org/10.1007/b97665 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Hangos, K. M. Bokor, J. Szederkényi, G. Analysis and Control of Nonlinear Process Systems Mathematics Dynamical Systems and Ergodic Theory Electrical Engineering Control Industrial Chemistry/Chemical Engineering Systems Theory, Control Industrial and Production Engineering Chemical engineering Dynamics Ergodic theory System theory Control engineering Industrial engineering Production engineering Electrical engineering Rückkopplung (DE-588)4050851-1 gnd Prozessmodell (DE-588)4237203-3 gnd Prozessregelung (DE-588)4222919-4 gnd Nichtlineares Regelungssystem (DE-588)4276212-1 gnd Stabilität (DE-588)4056693-6 gnd Beobachtbarkeit (DE-588)4207840-4 gnd |
subject_GND | (DE-588)4050851-1 (DE-588)4237203-3 (DE-588)4222919-4 (DE-588)4276212-1 (DE-588)4056693-6 (DE-588)4207840-4 |
title | Analysis and Control of Nonlinear Process Systems |
title_auth | Analysis and Control of Nonlinear Process Systems |
title_exact_search | Analysis and Control of Nonlinear Process Systems |
title_full | Analysis and Control of Nonlinear Process Systems by K. M. Hangos, J. Bokor, G. Szederkényi |
title_fullStr | Analysis and Control of Nonlinear Process Systems by K. M. Hangos, J. Bokor, G. Szederkényi |
title_full_unstemmed | Analysis and Control of Nonlinear Process Systems by K. M. Hangos, J. Bokor, G. Szederkényi |
title_short | Analysis and Control of Nonlinear Process Systems |
title_sort | analysis and control of nonlinear process systems |
topic | Mathematics Dynamical Systems and Ergodic Theory Electrical Engineering Control Industrial Chemistry/Chemical Engineering Systems Theory, Control Industrial and Production Engineering Chemical engineering Dynamics Ergodic theory System theory Control engineering Industrial engineering Production engineering Electrical engineering Rückkopplung (DE-588)4050851-1 gnd Prozessmodell (DE-588)4237203-3 gnd Prozessregelung (DE-588)4222919-4 gnd Nichtlineares Regelungssystem (DE-588)4276212-1 gnd Stabilität (DE-588)4056693-6 gnd Beobachtbarkeit (DE-588)4207840-4 gnd |
topic_facet | Mathematics Dynamical Systems and Ergodic Theory Electrical Engineering Control Industrial Chemistry/Chemical Engineering Systems Theory, Control Industrial and Production Engineering Chemical engineering Dynamics Ergodic theory System theory Control engineering Industrial engineering Production engineering Electrical engineering Rückkopplung Prozessmodell Prozessregelung Nichtlineares Regelungssystem Stabilität Beobachtbarkeit |
url | https://doi.org/10.1007/b97665 |
work_keys_str_mv | AT hangoskm analysisandcontrolofnonlinearprocesssystems AT bokorj analysisandcontrolofnonlinearprocesssystems AT szederkenyig analysisandcontrolofnonlinearprocesssystems |