'Model predictive control' diaporamas de présentation

Working together to put CPS Technology on the Sustainability Table

Working together to put CPS Technology on the Sustainability Table. David E. Culler University of California, Berkeley August 2, 2011. What can we put on the table?. Sustainability?.

738 views • 66 slides

Optimal Operation and Control of Refrigeration Processes (including LNG Plants)

Optimal Operation and Control of Refrigeration Processes (including LNG Plants). Outline. The basic refrigeration cycle Other refrigeration processes Where is refrigeration applied? Energy saving by improved operation or control Optimal operation and control LNG plants Summary

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Optimal Operation and Control of Refrigeration Processes (including LNG Plants)

Optimal Operation and Control of Refrigeration Processes (including LNG Plants). September 26, 2003. Outline. The basic refrigeration cycle Other refrigeration processes Where is refrigeration applied? Energy saving by improved operation or control Optimal operation and control LNG plants

392 views • 37 slides

Working with Uncertainty in Model Predictive Control

Working with Uncertainty in Model Predictive Control. Bob Bitmead University of California, San Diego. Nonlinear MPC Workshop. 4 April, 2005, Sheffield UK. Outline. Model Predictive Control Constrained receding horizon optimal control

574 views • 36 slides

Working with Uncertainty in Model Predictive Control

Working with Uncertainty in Model Predictive Control. Bob Bitmead University of California, San Diego. Nonlinear MPC Workshop. 4 April, 2005, Sheffield UK. Outline. Model Predictive Control Constrained receding horizon optimal control

543 views • 36 slides

Approaches to increase the range of use of Model predictive control

Approaches to increase the range of use of Model predictive control. Miguel Rodriguez Advisor: Cesar De Prada Systems Engineering and Automatic Control Department University of Valladolid, Spain. Pisa, October 2008. Outline. Motive Control explicit using Multiparametric Programming

489 views • 30 slides

Control of Instantaneously Coupled Systems Applied to Humanoid Walking

Control of Instantaneously Coupled Systems Applied to Humanoid Walking. Eric C. Whitman & Christopher G. Atkeson Carnegie Mellon University. Related Work. Trajectory generation + trajectory tracking Takanishi 1990, Kajita 2003 Online regeneration of trajectories Nishiwaki 2006

362 views • 28 slides

Recent Advances in Model Predictive Control

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Model Predictive Control of a Parafoil and Payload System

Model Predictive Control of a Parafoil and Payload System. By: Nathan Slegers Department of Mechanical Engineering Oregon State University Corvallis, Oregon 97331. Topics Covered. Dynamic Modeling of the Parafoil and Payload System

908 views • 26 slides

REAL TIME OPTIMIZATION: A Parametric Programming Approach

REAL TIME OPTIMIZATION: A Parametric Programming Approach. Vivek Dua. Y ou Only Solve O nce. Parametric Programming. Given: a performance criterion to minimize/maximize a vector of constraints a vector of parameters Obtain:

467 views • 26 slides

Structure and Synthesis of Robot Motion Topics in Control

Structure and Synthesis of Robot Motion Topics in Control. Subramanian Ramamoorthy School of Informatics 19 February, 2009. In this Lecture. We will survey some issues that occur in many realistic robotic systems and discuss control methods for dealing with them

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PID to Model Predictive Control

PID to Model Predictive Control. Yurong Kimberly Wang Adjunct Professor - OIT. Objectives. Industrial process control challenge PID control limitation Model predictive control development procedures MPC for operation advantage MPC vendors and reference materials.

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Control of a Solution Copolymerization Reactor using Piecewise Linear Models

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250 views • 21 slides

Survivability of Large Scale Networks and Design Research

Survivability of Large Scale Networks and Design Research. NSF-EXCITED Workshop February 28, 2005. Soundar R.T. Kumara Distinguished Professor of Industrial and Manufacturing Engineering The Pennsylvania State University University Park, PA 16802 skumara@psu.edu. CYBER DESIGN NET(CD-NET).

206 views • 20 slides

Industrial Process Modelling and Control

Industrial Process Modelling and Control. Ton Backx. Emeritaatsviering Joos Vandewalle. Outline. History Process performance and process control Model predictive control essentials Process modeling Current developments Future perspective. Model Predictive Control History.

349 views • 19 slides

Buildings in software And Software in buildings

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Dynamic Modeling and Model Predictive Control for Packed Reactive Distillation Processes

Dynamic Modeling and Model Predictive Control for Packed Reactive Distillation Processes. Presented by: Sebastien Lextrait Advisor: Dr. Thomas F. Edgar. Overview. Introduction Control Issues My Research Objectives Implementation Aspects Conclusions. Introduction. Drawbacks

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Markov Decision Processes Value Iteration Pieter Abbeel UC Berkeley EECS

Markov Decision Processes Value Iteration Pieter Abbeel UC Berkeley EECS. TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: A A A A A A A A A A A. Markov Decision Process. [Drawing from Sutton and Barto , Reinforcement Learning: An Introduction, 1998].

376 views • 12 slides

Dynamic Modeling and Model Predictive Control for Packed Reactive Distillation Processes

Dynamic Modeling and Model Predictive Control for Packed Reactive Distillation Processes. Presented by: Sebastien Lextrait Advisor: Dr. Thomas F. Edgar. Control Issues. Difficulties with traditional controllers Purity and reactant conversion Multiple steady states

233 views • 9 slides