Real-time cooperative kinematic control for multiple robots in distributed scenarios with dynamic neural networks-Reference-Cited by-同舟云学术

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Real-time cooperative kinematic control for multiple robots in distributed scenarios with dynamic neural networks

Published:2021-12 Issue: Volume: Page:
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Liu Mei,Zhang Jiazheng,Shang Mingsheng

Funder

Chinese Academy of Sciences

Natural Science Foundation of Chongqing

Natural Science Foundation Project of Chongqing

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference52 articles.

1. Finite-time formation-containment tracking for second-order multi-agent systems with a virtual leader of fully unknown input;Liao;Neurocomputing,2020

2. Dynamic task allocation in multi-robot coordination for moving target tracking: A distributed approach;Jin;Automatica,2019

3. Multi-robot competitive tracking based on k-WTA neural network with one single neuron;Peng;Neurocomputing,2021

4. Multitarget tracking control for coupled heterogeneous inertial agents systems based on flocking behavior;Chen;IEEE Trans. Syst., Man, Cybern., Syst.,2019

5. A passivity-based approach for kinematic control of manipulators with constraints;Zhang;IEEE Trans. Ind. Inf.,2020

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3. Tracking control of nonlinear systems actuated by saturated oscillatory force generator;European Journal of Control;2024-01

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