Sciweavers
Explore
Publications
Books
Software
Tutorials
Presentations
Lectures Notes
Datasets
Labs
Conferences
Community
Upcoming
Conferences
Top Ranked Papers
Most Viewed Conferences
Conferences by Acronym
Conferences by Subject
Conferences by Year
Tools
Sci2ools
International Keyboard
Graphical Social Symbols
CSS3 Style Generator
OCR
Web Page to Image
Web Page to PDF
Merge PDF
Split PDF
Latex Equation Editor
Extract Images from PDF
Convert JPEG to PS
Convert Latex to Word
Convert Word to PDF
Image Converter
PDF Converter
Community
Sciweavers
About
Terms of Use
Privacy Policy
Cookies
Free Online Productivity Tools
i2Speak
i2Symbol
i2OCR
iTex2Img
iWeb2Print
iWeb2Shot
i2Type
iPdf2Split
iPdf2Merge
i2Bopomofo
i2Arabic
i2Style
i2Image
i2PDF
iLatex2Rtf
Sci2ools
7
click to vote
CDC
2008
IEEE
favorite
Email
discuss
report
106
views
Control Systems
»
more
CDC 2008
»
Computationally efficient methods for digital control
14 years 3 months ago
Download
www.ece.ucsb.edu
Duarte Antunes, João Pedro Hespanha, Carlos
Real-time Traffic
CDC 2008
|
Control Systems
|
claim paper
Related Content
»
Improving the performance of active set based Model Predictive Controls by dataflow method...
»
Efficient Realization of Wave Digital Components for Physical Modeling and Sound Synthesis
»
LMNKui overlaying computer controls on a piano controller keyboard
»
Hardware Platforms for MEMS Gyroscope Tuning Based on Evolutionary Computation Using OpenL...
»
Reliable Isotropic Tetrahedral Mesh Generation Based on an Advancing Front Method
»
Fast Tone Mapping for High Dynamic Range Images
»
Efficient aggregation for graph summarization
»
A Method for Locating Digital Evidences with Outlier Detection Using Support Vector Machin...
»
Efficient Digital Prefiltering for LeastSquares Linear Approximation
more »
Post Info
More Details (n/a)
Added
29 May 2010
Updated
29 May 2010
Type
Conference
Year
2008
Where
CDC
Authors
Duarte Antunes, João Pedro Hespanha, Carlos Jorge Ferreira Silvestre, Nitin Kataria, Forrest Brewer
Comments
(0)
Researcher Info
Control Systems Study Group
Computer Vision