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Recent Advances in Paper Machine Control Q. Lu1, M.G. Forbes2, R.B. Gopaluni1, P.D. Loewen1, J.U. Backström2, G.A. Dumont1 1 - University of British Columbia 2 - Honeywell Process Solutions Vancouver, Canada LCCC Process Control Workshop – Lund - September 30, 2016 Research Interests •  Adaptive Control, predictive control, system identification, control of distributed parameter systems, control p

http://www.lccc.lth.se/media/2016/process-workshop/slides/AdaptiveControlMDandCD_LCCC.pdf - 2025-01-31

PowerPoint Presentation

PowerPoint Presentation The IoT of Automation A Totally New Way to Look at Control and Automation in the Process Industries Presented by: Donald C. Clark VP Industries and Schneider Master Expert Edison Fellow Process Automation Business Confidential Property of Schneider Electric LCCC Process Control Workshop, September 28-30, 2016 Lund University, Lund, Sweden 1 “A Control System Without Field D

http://www.lccc.lth.se/media/2016/process-workshop/slides/DCClark%20LCCC%20IIoT%20of%20Process%20Automation%20Op2.pptx - 2025-01-31

Perstorp

Perstorp On PWC for chemical plants Krister Forsman 2016-09-29 K. Forsman, 2016-09-29, No. ‹#› 1 Outline Short facts about specialty chemicals industry and Perstorp Plantwide control: Degrees of freedom Throughput manipulator selection Specifying control objectives K. Forsman, 2016-09-29, No. ‹#› 2 Characteristics of chemical plants (A view slightly biased by Perstorp experience) K. Forsman, 2016-

http://www.lccc.lth.se/media/2016/process-workshop/slides/Forsman.pptx - 2025-01-31

Performance Improvements in Extremum Seeking Control

Performance Improvements in Extremum Seeking Control Performance Improvements in Extremum Seeking Control M. Guay September 30, 2016, LCCC Process Control Worshop, Lund 1 Background 2 Perturbation based ESC Basic perturbation based ESC Proportional-integral ESC 3 Recursive least-squares approach RLS Proportional integral ESC 4 Discrete-time systems 5 Distributed network optimization 6 Concluding R

http://www.lccc.lth.se/media/2016/process-workshop/slides/Guay.pdf - 2025-01-31

LCCC_Talk_2016

LCCC_Talk_2016 Control Systems Engineering Laboratory CSEL LCCC Workshop on Process Control Sept. 28 - 30, 2016 Production-Inventory Systems: Modeling, Forecasting and Control Daniel E. Rivera Control Systems Engineering Laboratory School for the Engineering of Matter, Transport and Energy Ira A. Fulton Schools of Engineering Arizona State University http://csel.asu.edu Control Systems Engineering

http://www.lccc.lth.se/media/2016/process-workshop/slides/LCCC_Talk_2016_Rivera.pdf - 2025-01-31

UTC Slides

UTC Slides Control Design and Verification with Physics Based Models for HVAC/R Applications Junqiang (James) Fan Fellow, Systems and Controls Engineering Sept 28, 2016 OUTLINE Vapor compression refrigeration cycle Model Based Control Development Process Application Examples Transportation Refrigeration Commercial Refrigeration Residential HVAC Commercial Building HVAC Conclusions 2 VAPOR

http://www.lccc.lth.se/media/2016/process-workshop/slides/MBD_HVACR_control_LCCCTalk_JamesFan.pdf - 2025-01-31

PowerPoint-Präsentation

PowerPoint-Präsentation This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no 611281. Optimal resource allocation in industrial complexes by distributed optimization and dynamic pricing 1Process Dynamics and Operations Group, Department of Biochemical and Chemical Engineering TU Dor

http://www.lccc.lth.se/media/2016/process-workshop/slides/Slides_Lund_2016_Engell.pdf - 2025-01-31

A simple multi-agent consensus model with state-dependent interaction topology

A simple multi-agent consensus model with state-dependent interaction topology Agents with state-dependent interactions Vincent Blondel UCLouvain, Belgium (joint work with John Tsitsiklis and Julien Hendrickx, MIT) May 2009 Lund University IEEE Transaction on Automatic Control, 2009 xi(t+ 1) = X j:(i,j)∈E aijxj(t) x1 x6 x5 x4 x3 x2 x1 x6 x5 x4 x3 x2 ẋi(t) = X j:(i,j)∈E (xj(t)− xi(t)) x1 x6 x5 x4

http://www.lccc.lth.se/media/LCCC2009/workshopmaj2009/2009lund-blondel.pdf - 2025-01-31

No title

Suboptimality estimates for NMPC schemes Lars Grüne Mathematisches Institut, Universität Bayreuth in collaboration with Anders Rantzer (Lund), Jürgen Pannek, Karl Worthmann (Bayreuth) supported by DFG priority research program 1305 “Control theory for digitally networked dynamical systems” First LCCC workshop, Lund, May 28-29, 2009 Setup We consider nonlinear discrete time control systems x(n +

http://www.lccc.lth.se/media/LCCC2009/workshopmaj2009/2009lund-gruene.pdf - 2025-01-31

No title

1 The Price of Anarchy: Some Old and New Results Tim Roughgarden Stanford University 2 Algorithms and Game Theory Recent Trend: design and analysis of algorithms and systems with self-interested agents Motivation: the Internet •  auctions (eBay, sponsored search, etc.) •  competition among end users, ISPs, etc. Traditional approach: •  agents classified as obedient or adversarial –  examples: dist

http://www.lccc.lth.se/media/LCCC2009/workshopmaj2009/2009lund-roughgarden.pdf - 2025-01-31

RSS06

RSS06 * * Controllability of Networked Systems from a Graph-Theoretic Perspective Outline: Graph-Based Control Leader-Networks Controllability Epidemic Programming Magnus Egerstedt GRITSLab Electrical and Computer Engineering Georgia Institute of Technology www.ece.gatech.edu/~magnus Magnus Egerstedt - Spring 2009 Magnus Egerstedt - Spring 2009 The Mandatory Bio-Slide As sensor webs, large-scale r

http://www.lccc.lth.se/media/LCCC2009/workshopmaj2009/Egerstedt2009LCCC.ppt - 2025-01-31

No title

Learning Flexible Goal-Directed Behavior Christian Balkenius Lund University Cognitive Science Wednesday, April 18, 12 http://www.lccc.lth.se/index.php?mact=ReglerSeminars,cntnt01,abstractbio,0&cntnt01workshop=Symp1204&cntnt01abstractID=325&cntnt01origid=142&cntnt01returnid=Abstract http://www.lccc.lth.se/index.php?mact=ReglerSeminars,cntnt01,abstractbio,0&cntnt01workshop=Symp1204&cntnt01abstractI

http://www.lccc.lth.se/media/LCCC2012/SymposiumApril/slides/balkenius.pdf - 2025-01-31

Cognition-Enabled Robot Control for the Realization of Home Chore Task Intelligence

Cognition-Enabled Robot Control for the Realization of Home Chore Task Intelligence Cognition-Enabled Robot Control for the Realization of Home Chore Task Intelligence Michael Beetz Intelligent Autonomous Systems Technische Universität München LCCC & Rosetta Symposium on Robot Skill Learning and Cognition April 18, 2012 Introduction Cognition-enabled Control Housework Principles Everyday Robot M

http://www.lccc.lth.se/media/LCCC2012/SymposiumApril/slides/beetz.pdf - 2025-01-31

Lund_Apr-2012.pptx

Lund_Apr-2012.pptx http://lasa.epfl.ch Programming by Demonstration: Some recent challenges Aude G. Billard LASA Laboratory EPFL http://lasa.epfl.ch Learning a control law that ensures that you reach the target even if perturbed and that you follow a particular dynamics Generalizing: Learning a control law http://lasa.epfl.ch Learn a control law from examples 1x 2x Time-invariant DS with stable at

http://www.lccc.lth.se/media/LCCC2012/SymposiumApril/slides/billard.pdf - 2025-01-31