'Model based control' diaporamas de présentation

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Data-Based Modelling for Control

Data-Based Modelling for Control

Data-Based Modelling for Control. Paul M.J. Van den Hof. www.dcsc.tudelft.nl/~pvandenhof/publications. 2006 IEEE Workshop Advanced Process Control Applications for Industry (APC2006), Vancouver, Canada, May 8-10 2006. Contents. Introduction. Basic facts on system identification.

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1.18k views • 104 slides
Data-Based Modelling for Control

Data-Based Modelling for Control

Data-Based Modelling for Control. Paul M.J. Van den Hof. www.dcsc.tudelft.nl/~pvandenhof/publications. 2006 IEEE Workshop Advanced Process Control Applications for Industry (APC2006), Vancouver, Canada, May 8-10 2006. Contents. Introduction. Basic facts on system identification.

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1.06k views • 104 slides
Model-Based Control for Automotive Cold Start Applications

Model-Based Control for Automotive Cold Start Applications

J. Karl Hedrick Carlos Zavala Pannag Sanketi Mechanical Engineering Dept., University of California, Berkeley. Model-Based Control for Automotive Cold Start Applications. 2007 CHESS Winter Meeting. Regulation limit. HC. Cumulative HC amount. 100. Speed. Speed[km/h]. 0. 0. 25. 50.

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575 views • 34 slides
Model-Based Control for Automotive Cold Start Applications

Model-Based Control for Automotive Cold Start Applications

J. Karl Hedrick Carlos Zavala Pannag Sanketi Mechanical Engineering Dept., University of California, Berkeley. Model-Based Control for Automotive Cold Start Applications. 2007 CHESS Winter Meeting. Regulation limit. HC. Cumulative HC amount. 100. Speed. Speed[km/h]. 0. 0. 25. 50.

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500 views • 34 slides
Explicit Non-linear Optimal Control Law for Continuous Time Systems via Parametric Programming

Explicit Non-linear Optimal Control Law for Continuous Time Systems via Parametric Programming

Explicit Non-linear Optimal Control Law for Continuous Time Systems via Parametric Programming. Vassilis Sakizlis, Vivek Dua, Stratos Pistikopoulos Centre for Process Systems Engineering Department of Chemical Engineering Imperial College, London. x. ?. wall- target. g. x=l.

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485 views • 34 slides
Model-Based Control for Automotive Cold Start Applications

Model-Based Control for Automotive Cold Start Applications

J. Karl Hedrick Carlos Zavala Pannag Sanketi Mechanical Engineering Dept., University of California, Berkeley. Model-Based Control for Automotive Cold Start Applications. 2007 CHESS Winter Meeting. Regulation limit. HC. Cumulative HC amount. 100. Speed. Speed[km/h]. 0. 0. 25. 50.

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432 views • 34 slides
Model Based Control Strategies

Model Based Control Strategies

Model Based Control Strategies. Model Based Control. 1- Inverse Model as a Forward Controller (Inverse Dynamics) 2- Forward Model in Feedback 3- Combination of above. Inverse Model (Dynamic). Reference. Output. G(s). G -1 (s). Controller. Plant. Control Signal. Forward Model. q d.

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424 views • 23 slides
Model Based Control for a Pressure Control Type CVT

Model Based Control for a Pressure Control Type CVT

Model Based Control for a Pressure Control Type CVT. Wansik Ryu, Juhyun Nam, Hyunsoo Kim, Sungkyunkwan University Yongjoon Lee, Hyundai Motor Company. Dynamic System Design & Control Lab. Sungkyunkwan University. Introduction. Flow Control Type. Pressure Control Type.

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377 views • 18 slides
Model-based process control and optimization

Model-based process control and optimization

Model-based process control and optimization. Okko Bosgra Paul Van den Hof Adrie Huesman. Delft Center for Systems and Control. Delft Center for Systems and Control. Established 1 January 2004, as a merger between 3 systems and control groups from EE, ME and AP.

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324 views • 15 slides
Model-based process control and optimization

Model-based process control and optimization

Model-based process control and optimization. Okko Bosgra Paul Van den Hof Adrie Huesman. Delft Center for Systems and Control. Delft Center for Systems and Control. Established 1 January 2004, as a merger between 3 systems and control groups from EE, ME and AP.

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283 views • 15 slides

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