Loading [MathJax]/extensions/MathMenu.js
ADP-Based Fault-Tolerant Control for Multiagent Systems With Semi-Markovian Jump Parameters | IEEE Journals & Magazine | IEEE Xplore

ADP-Based Fault-Tolerant Control for Multiagent Systems With Semi-Markovian Jump Parameters


Abstract:

This article analyzes and validates an approach of integration of adaptive dynamic programming (ADP) and adaptive fault-tolerant control (FTC) technique to address the co...Show More

Abstract:

This article analyzes and validates an approach of integration of adaptive dynamic programming (ADP) and adaptive fault-tolerant control (FTC) technique to address the consensus control problem for semi-Markovian jump multiagent systems having actuator bias faults. A semi-Markovian process, a more versatile stochastic process, is employed to characterize the parameter variations that arise from the intricacies of the environment. The reliance on accurate knowledge of system dynamics is overcome through the utilization of an actor-critic neural network structure within the ADP algorithm. A data-driven FTC scheme is introduced, which enables online adjustment and automatic compensation of actuator bias faults. It has been demonstrated that the signals generated by the controlled system exhibit uniform boundedness. Additionally, the followers’ states can achieve and maintain consensus with that of the leader. Ultimately, the simulation results are given to demonstrate the efficacy of the designed theoretical findings.
Published in: IEEE Transactions on Cybernetics ( Volume: 54, Issue: 10, October 2024)
Page(s): 5952 - 5962
Date of Publication: 11 July 2024

ISSN Information:

PubMed ID: 38990745

Funding Agency:


References

References is not available for this document.