4.7 Article

Integral sliding mode consensus of networked control systems with bounded disturbances

Journal

ISA TRANSACTIONS
Volume 124, Issue -, Pages 349-355

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.isatra.2020.02.025

Keywords

Networked control systems; Consensus; Integral sliding mode control; Adaptive mechanism

Funding

  1. National Natural Science Foundation of China [61922026, U1611262, 61603102]
  2. Guangdong Province Higher Vocational Colleges Schools
  3. Guangdong Natural Science Funds for Distinguished Young Scholar, China [2018B030306013]
  4. Innovative Research Team Program of Guangdong Province Science Foundation, China [2018B030312006]

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This article addresses the consensus tracking problem in networked control systems with disturbances. It proposes a discontinuous integral sliding mode protocol and a continuous integral sliding mode consensus protocol to solve the consistency and control gain determination issues. Simulation results validate the efficacy of the new approach.
This article addresses the consensus tracking problem of networked control systems with disturbances. The network topology is directed, and only partial followers can exchange information with the leader. In the light of the continuous consensus law for the nominal network control systems, a discontinuous integral sliding mode protocol is designed to ensure that networked control systems with bounded disturbances achieve the consensus in a setting time. Furthermore, this article also solve the problem that the sliding function chattering and the control gains are difficult to determine in discontinuous consistency protocol. The continuous integral sliding mode consensus protocol is proposed. It is pointed out that the advantage of adaptive control method is that it can automatically adjust the controller gain, and may ensure the control protocol execute well without prior knowledge of networked control systems. In the end, simulation results illustrate that the efficacy of this new approach is validated. (c) 2020 ISA. Published by Elsevier Ltd. All rights reserved.

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