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Pinning Synchronization of Complex Switching Networks with a Leader of Nonzero Control Inputs

journal contribution
posted on 2024-11-01, 12:47 authored by Guanghui WenGuanghui Wen, Peijun Wang, Xinghuo YuXinghuo Yu, Wenwu Yu, Jinde Cao
The evolution of the target system (leader) in pinning-controlled complex networks may need to be regulated by some control inputs for performing various practical tasks, e.g., obstacle avoidance, tracking highly maneuverable target, and so on. Motivated by this observation, we shall investigate the global pinning synchronization problems for complex switching networks for which the target system is subject to nonzero control inputs. First, using the idea of unit vector function method, a discontinuous coupling law is designed. With the aid of stability theory for switched systems, it is theoretically shown that synchronization in the network under this discontinuous coupling law can be achieved by choosing sufficiently large coupling strengths if the average dwell time (ADT) is bounded below by a positive constant. Second, we use the boundary layer method to design a continuous-coupling law. It has been theoretically shown that the synchronization error is ultimately uniformly bounded (UUB) under this continuous-coupling law. The chattering effect is also avoided in real implementation by using this continuous-coupling law. Furthermore, for networks with unknown external disturbances and unmodeled dynamics, neuro-adaptive-based coupling laws are designed to ensure that the synchronization error of the networks with undirected switching communication topologies under these laws is UUB. The obtained theoretical results are finally validated by performing numerical simulation on coupling Chua's circuit systems.

Funding

Inference and resilient control of complex cyber-physical networks

Australian Research Council

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History

Related Materials

  1. 1.
    DOI - Is published in 10.1109/TCSI.2019.2904946
  2. 2.
    ISSN - Is published in 15498328

Journal

IEEE Transactions on Circuits and Systems I: Regular Papers

Volume

66

Number

8694936

Issue

8

Start page

3100

End page

3112

Total pages

13

Publisher

IEEE

Place published

United States

Language

English

Copyright

© 2019 IEEE.

Former Identifier

2006093143

Esploro creation date

2020-06-22

Fedora creation date

2020-04-09

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