NDLI: Quantization design for distributed optimization with time-varying parameters

Content Provider	IEEE Xplore Digital Library
Author	Pu, Ye Zeilinger, Melanie N. Jones, Colin N.
Copyright Year	2015
Description	Author affiliation: Automatic Control Lab, École Polytechnique Fédérale de Lausanne, EPFL-STI-IGM-LA Station 9 CH-1015, Switzerland (Pu, Ye; Jones, Colin N.) \|\| Empirical Inference Department, Max Planck Institute for Intelligent Systems, 72076 Tübingen, Germany (Zeilinger, Melanie N.)
Abstract	We consider the problem of solving a sequence of distributed optimization problems with time-varying parameters and communication constraints, i.e. only neighbour-to-neighbour communication and a limited amount of information exchanged. By extending previous results and employing a warm-starting strategy, we propose an on-line algorithm for solving optimization problems under the given constraints and show that there exists a trade-off between the number of iterations for solving each problem in the sequence and the accuracy achieved by the algorithm. For a given accuracy ∈, we can find a number of iterations K, which guarantees that for the sequential realization of the parameter, the sub-optimal solution given by the algorithm satisfies the accuracy. We apply the method to solve a distributed model predictive control problem by considering the state measurement at each sampling time as the time-varying parameter and show that the simulation supports the theoretical results.
Starting Page	2037
Ending Page	2042
File Size	295425
Page Count	6
File Format	PDF
e-ISBN	9781479978861
DOI	10.1109/CDC.2015.7402506
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-12-15
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optimization Quantization (signal) Nickel Algorithm design and analysis Convergence Distributed algorithms Radio frequency
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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