NDLI: Improving the performance of active set based Model Predictive Controls by dataflow methods

Content Provider	IEEE Xplore Digital Library
Author	Ruirui Gu Bhattacharyya, S.S. Levine, W.S.
Copyright Year	2009
Description	Author affiliation: Department of Electrical and Computer Engineering, University of Maryland, College Park, 20742, USA (Levine, W.S.) \|\| Department of Electrical and Computer Engineering, and Institute for Advanced Computer Studies, University of Maryland, College Park, 20742, USA (Ruirui Gu; Bhattacharyya, S.S.)
Abstract	Dataflow representations of Digital Signal Processing (DSP) software have been developing since the 1980's. They have proven to be useful in identifying bottlenecks in DSP algorithms, improving the efficiency of the computations, and in designing appropriate hardware for implementing the algorithms. This paper demonstrates the use of dataflow to improve a Model Predictive Control (MPC) algorithm. MPC has been extensively used in the real world but its application has been limited to relatively slow processes because it is computationally intensive. It is shown that the time required for the MPC computations using a representative active set method for solving the optimization problem can be reduced by means of dataflow analysis and implementation improvements based on these analyses.
Starting Page	339
Ending Page	344
File Size	758733
Page Count	6
File Format	PDF
ISBN	9781424438716
ISSN	01912216
DOI	10.1109/CDC.2009.5400779
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Predictive models Predictive control Quadratic programming Digital signal processing Signal processing algorithms Sampling methods Software performance Algorithm design and analysis Hardware Prediction algorithms
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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