Fast Model Predictive Control - Fast MPC
METADATA ONLY
Author / Producer
Date
2012-06-07
Publication Type
Presentation
ETH Bibliography
yes
Citations
Altmetric
METADATA ONLY
Data
Rights / License
Abstract
Since the 1980s Model Predictive Control (MPC) has become the algorithm of choice for complex control problems in the oil and petrochemical industries. As MPC requires an optimal control problem to be solved in real time, the technique was suited primarily for situations where the process to be controlled is relatively slow and extensive computational resources are available. In the last decade we have developed various algorithms that allow MPC to be implemented on fast processes (with sampling times in the tens of nanoseconds) with modest computational requirements. I will describe the ideas behind these developments and the implementations on a range of industrial prototype systems in the electronics area.
Permanent link
Publication status
published
External links
Editor
Book title
Journal / series
Volume
Pages / Article No.
Publisher
Northeastern University Shenyang
Event
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Organisational unit
03416 - Morari, Manfred (emeritus)
Notes
Lecture at the State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University in Shenyang, China on 7 June 2012.