Cooperative adaptive dynamic surface control for a class of high-order stochastic nonlinear multiagent systems

Ying Wu, Hongjing Liang, Yanhui Zhang, Choon Ki Ahn

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)

Abstract

This article investigates the consensus tracking problem for high-order stochastic pure-feedback nonlinear multiagent systems (MASs) with dead zones. It should be pointed out that each follower's virtual and actual control items are the power-exponential functions with positive odd numbers instead of linear items. Because of the structural characteristics of the followers' dynamics, a technique called adding a power integrator is used, which effectively overcomes the difficulties of states and dead zone with power-exponential functions. Furthermore, radial basis function neural networks are employed to estimate unknown nonlinear functions and solve the problem of algebraic loop caused by the pure-feedback structure of MASs. Meanwhile, the problems of 'explosion of complexity' caused by repeated differentiations of the virtual controller are solved by using the tracking differentiators. Based on the Lyapunov stability theorem, it is proved that all signals of the closed-loop systems are semiglobally uniformly ultimately bounded in probability, and the tracking errors can converge to a small neighborhood of the origin. Finally, simulation results are presented to verify the effectiveness of the proposed approach.

Original languageEnglish
Pages (from-to)5214-5224
Number of pages11
JournalIEEE Transactions on Cybernetics
Volume51
Issue number11
DOIs
Publication statusPublished - 2021 Nov 1

Keywords

  • Adding a power integrator
  • cooperative control
  • dead zone
  • high-order stochastic systems

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Information Systems
  • Human-Computer Interaction
  • Computer Science Applications
  • Electrical and Electronic Engineering

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