The NLQGP problem: application to a multistage manufacturing system
The nonlinear quadratic Gaussian Poisson (NLQGP) problem denotes an optimal control problem with nonlinear dynamics and quadratic costs with both Gaussian and Poisson noise disturbances. The NLQGP problem provides a comprehensive model for many applications since the disturbances considered are quit...
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| creator | Westman, J.J. Hanson, F.B. |
| description | The nonlinear quadratic Gaussian Poisson (NLQGP) problem denotes an optimal control problem with nonlinear dynamics and quadratic costs with both Gaussian and Poisson noise disturbances. The NLQGP problem provides a comprehensive model for many applications since the disturbances considered are quite robust and add extra realism to physical models. The problem is examined and is illustrated with an application to a multistage manufacturing system (MMS) in an uncertain environment. |
| doi_str_mv | 10.1109/ACC.1998.703582 |
| format | Conference Proceeding |
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The NLQGP problem provides a comprehensive model for many applications since the disturbances considered are quite robust and add extra realism to physical models. The problem is examined and is illustrated with an application to a multistage manufacturing system (MMS) in an uncertain environment.</description><identifier>ISSN: 0743-1619</identifier><identifier>ISBN: 0780345304</identifier><identifier>ISBN: 9780780345300</identifier><identifier>EISSN: 2378-5861</identifier><identifier>DOI: 10.1109/ACC.1998.703582</identifier><language>eng</language><publisher>IEEE</publisher><subject>Control systems ; Dynamic programming ; Gaussian noise ; Linear algebra ; Manufacturing systems ; Markov processes ; Nonlinear dynamical systems ; Performance analysis ; Stochastic processes ; White noise</subject><ispartof>Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. 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The problem is examined and is illustrated with an application to a multistage manufacturing system (MMS) in an uncertain environment.</description><subject>Control systems</subject><subject>Dynamic programming</subject><subject>Gaussian noise</subject><subject>Linear algebra</subject><subject>Manufacturing systems</subject><subject>Markov processes</subject><subject>Nonlinear dynamical systems</subject><subject>Performance analysis</subject><subject>Stochastic processes</subject><subject>White noise</subject><issn>0743-1619</issn><issn>2378-5861</issn><isbn>0780345304</isbn><isbn>9780780345300</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1998</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj8tKw0AUQAcfYFpdC67mBxLvzbzdlWCrEHxAXZdJMlNH8iKZLPr3CnV1VufAIeQeIUME87gpigyN0ZkCJnR-QZKcKZ0KLfGSrEBpYFww4FckAcVZihLNDVnN8w_AnychIcX-29G38nP3QcdpqFrXPVE7jm2obQxDT-NALe2WNoY52qOjne0Xb-u4TKE_0vk0R9fdkmtv29nd_XNNvrbP--IlLd93r8WmTEPOdExR-do0qmEGsULuBUiRK9moCoWuoTGm0ooZ7rjkwnFeCec81g0w9MZAxdbk4dwNzrnDOIXOTqfD-Z39Agl6SnM</recordid><startdate>1998</startdate><enddate>1998</enddate><creator>Westman, J.J.</creator><creator>Hanson, F.B.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>1998</creationdate><title>The NLQGP problem: application to a multistage manufacturing system</title><author>Westman, J.J. ; Hanson, F.B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i238t-17fc9d7d3911b14f5065276d7b158c0d99b87394e4645e44b5eef1cd031f990b3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1998</creationdate><topic>Control systems</topic><topic>Dynamic programming</topic><topic>Gaussian noise</topic><topic>Linear algebra</topic><topic>Manufacturing systems</topic><topic>Markov processes</topic><topic>Nonlinear dynamical systems</topic><topic>Performance analysis</topic><topic>Stochastic processes</topic><topic>White noise</topic><toplevel>online_resources</toplevel><creatorcontrib>Westman, J.J.</creatorcontrib><creatorcontrib>Hanson, F.B.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Westman, J.J.</au><au>Hanson, F.B.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>The NLQGP problem: application to a multistage manufacturing system</atitle><btitle>Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207)</btitle><stitle>ACC</stitle><date>1998</date><risdate>1998</risdate><volume>2</volume><spage>1104</spage><epage>1108 vol.2</epage><pages>1104-1108 vol.2</pages><issn>0743-1619</issn><eissn>2378-5861</eissn><isbn>0780345304</isbn><isbn>9780780345300</isbn><abstract>The nonlinear quadratic Gaussian Poisson (NLQGP) problem denotes an optimal control problem with nonlinear dynamics and quadratic costs with both Gaussian and Poisson noise disturbances. The NLQGP problem provides a comprehensive model for many applications since the disturbances considered are quite robust and add extra realism to physical models. The problem is examined and is illustrated with an application to a multistage manufacturing system (MMS) in an uncertain environment.</abstract><pub>IEEE</pub><doi>10.1109/ACC.1998.703582</doi></addata></record> |
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| ispartof | Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207), 1998, Vol.2, p.1104-1108 vol.2 |
| issn | 0743-1619 2378-5861 |
| language | eng |
| recordid | cdi_ieee_primary_703582 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Control systems Dynamic programming Gaussian noise Linear algebra Manufacturing systems Markov processes Nonlinear dynamical systems Performance analysis Stochastic processes White noise |
| title | The NLQGP problem: application to a multistage manufacturing system |
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