Online Learning of Minmax Solutions for Distributed Estimation and Tracking Control of Sensor Networks in Graphical Games-Reference-Cited by-同舟云学术

Online Learning of Minmax Solutions for Distributed Estimation and Tracking Control of Sensor Networks in Graphical Games

Published:2022-12 Issue:4 Volume:9 Page:1923-1936
ISSN:2325-5870
Container-title:IEEE Transactions on Control of Network Systems
language:
Short-container-title:IEEE Trans. Control Netw. Syst.

Author:

Lian Bosen¹^ORCID,Lewis Frank L.¹^ORCID,Hewer Gary A.²^ORCID,Estabridis Katia²^ORCID,Chai Tianyou³^ORCID

Affiliation:

1. University of Texas at Arlington Research Institute, Fort Worth, TX, USA

2. Naval Air Warfare Center Weapons Division, China Lake, CA, USA

3. State Key Laboratory of Synthetical Automation for Process Industries and International Joint Research Laboratory of Integrated Automation, Northeastern University, Shenyang, China

Funder

ONR

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Control and Optimization,Computer Networks and Communications,Signal Processing,Control and Systems Engineering

Link

https://ieeexplore.ieee.org/ielam/6509490/9991900/9794571-aam.pdf

Reference41 articles.

1. Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks

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4. Reinforcement learning in robotics: A survey

5. Reinforcement-Learning-Based Optimal Control of Hybrid Energy Storage Systems in Hybrid AC–DC Microgrids

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