Gradient-Based Differential $k\text{WTA}$ Network With Application to Competitive Coordination of Multiple Robots-Reference-Cited by-同舟云学术

Gradient-Based Differential $k\text{WTA}$ Network With Application to Competitive Coordination of Multiple Robots

Published:2022-08 Issue:8 Volume:9 Page:1452-1463
ISSN:2329-9266
Container-title:IEEE/CAA Journal of Automatica Sinica
language:
Short-container-title:IEEE/CAA J. Autom. Sinica

Author:

Liu Mei¹,Zhang Xiaoyan¹,Shang Mingsheng²,Jin Long²

Affiliation:

1. School of Information Science and Engineering, Lanzhou University,Lanzhou,China,730000

2. Chongqing Key Laboratory of Big Data and Intelligent Computing, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences,Chongqing,China,400714

Funder

National Natural Science Foundation of China

Natural Science Foundation of Gansu Province

Natural Science Foundation of Chongqing

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Information Systems,Control and Systems Engineering,Control and Optimization

Link

http://xplorestaging.ieee.org/ielx7/6570654/9849143/09849154.pdf?arnumber=9849154

Reference42 articles.

1. A Strictly Predefined-Time Convergent Neural Solution to Equality- and Inequality-Constrained Time-Variant Quadratic Programming

2. A Capable Neural Network Framework for Solving Degenerate Quadratic Optimization Problems with an Application in Image Fusion

3. Distributed Control of Nonholonomic Robots Without Global Position Measurements Subject to Unknown Slippage Constraints

4. Decentralized Dynamic Event-Triggered Communication and Active Suspension Control of In-Wheel Motor Driven Electric Vehicles with Dynamic Damping

5. Robust k-WTA Network Generation, Analysis, and Applications to Multiagent Coordination

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