Distributed Continuous and Discrete Time Projection Neurodynamic Approaches for Sparse Recovery-Reference-Cited by-同舟云学术

Distributed Continuous and Discrete Time Projection Neurodynamic Approaches for Sparse Recovery

Published:2022-12 Issue:6 Volume:6 Page:1411-1426
ISSN:2471-285X
Container-title:IEEE Transactions on Emerging Topics in Computational Intelligence
language:
Short-container-title:IEEE Trans. Emerg. Top. Comput. Intell.

Author:

Zhao You¹,Liao Xiaofeng¹^ORCID,He Xing²^ORCID

Affiliation:

1. College of Computer Science, Chongqing University, Chongqing, China

2. Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, and School of Electronics and Information Engineering, Southwest University, Chongqing, China

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Chongqing Technology Innovation and Application Development Project

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computational Mathematics,Control and Optimization,Computer Science Applications

Link

http://xplorestaging.ieee.org/ielx7/7433297/9965775/09806713.pdf?arnumber=9806713

Reference43 articles.

1. Distributed Optimal Consensus Over Resource Allocation Network and Its Application to Dynamical Economic Dispatch

2. Distributed Event-Triggered Scheme for Economic Dispatch in Smart Grids

3. A consensus algorithm based on collective neurodynamic system for distributed optimization with linear and bound constraints

4. A Continuous-Time Algorithm for Distributed Optimization Based on Multiagent Networks

5. Distributed Neurodynamic Optimization for Energy Internet Management

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