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Single parameter adaptive neural network control for multi-agent deployment with prescribed tracking performance

  • Published:2023-10 Issue: Volume:156 Page:111207
  • ISSN:0005-1098
  • Container-title:Automatica
  • language:en
  • Short-container-title:Automatica

Author:

Liu Zhijie,Lu Zhongqi,Zhao Zhijia,Efe Mehmet Önder,Hong Keum-Shik

Funder

Scientific and Technological Planning Project of Guangzhou City

National Natural Science Foundation of China

National Research Foundation of Korea

Ministry of Science and ICT, South Korea

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Reference31 articles.

1. Finite-time estimation of multiple exponentially-damped sinusoidal signals: A kernel-based approach;Chen;Automatica,2019

2. Bipartite consensus for a network of wave PDEs over a signed directed graph;Chen;Automatica,2021

3. Event-triggered boundary control of constant-parameter reaction–diffusion PDEs: A small-gain approach;Espitia;Automatica,2021

4. Analysis of coordination in multi-agent systems through partial difference equations;Ferrari-Trecate;IEEE Transactions on Automatic Control,2006

5. PDE-based multi-agent formation control using flatness and backstepping: Analysis, design and robot experiments;Freudenthaler;Automatica,2020

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