An RNN-Based Algorithm for Decentralized-Partial-Consensus Constrained Optimization

This technical note proposes a decentralized-partial-consensus optimization (DPCO) problem with inequality constraints. The partial-consensus matrix originating from the Laplacian matrix is constructed to tackle the partial-consensus constraints. A continuous-time algorithm based on multiple interco...

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Bibliographic Details

Published in:	IEEE transaction on neural networks and learning systems Vol. 34; no. 1; pp. 534 - 542
Main Authors:	Xia, Zicong, Liu, Yang, Qiu, Jianlong, Ruan, Qihua, Cao, Jinde
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.01.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Constraints Cost function Decentralized-partial-consensus optimization (DPCO) Learning systems Neural networks Neurodynamics nonsmooth analysis Optimization Optimization methods partial-consensus matrix Recurrent neural networks recurrent neural networks (RNNs) Task analysis
ISSN:	2162-237X, 2162-2388, 2162-2388
Online Access:	Get full text
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