Distributed adaptive dynamic surface formation control for uncertain multiple quadrotor systems with interval type-2 fuzzy neural networks

Teh Lu Liao, Wei Shou Chan, Jun Juh Yan

研究成果: Article同行評審

5 引文 斯高帕斯(Scopus)

摘要

This paper presents a distributed adaptive formation control method for uncertain multiple quadrotor systems under a directed graph that characterizes the interaction among the leader and followers. The proposed approach is based on an adaptive dynamic surface control, consensus algorithm and graph theory, where the system uncertainties are approximately modelled by interval type-2 fuzzy neural networks. The adaptive laws of interval type-2 fuzzy neural network parameters are derived from the stability analysis. In this study, the robust stability of the closed-loop system is guaranteed by the Lyapunov theorem, and the leader-follower formation goal can be asymptotically achieved. The developed control scheme is applied to the followers of quadrotor systems for performance evaluations. Simulation results are also provided to compare with the existing methods and reveal the superiority of the proposed adaptive formation controller.

原文English
頁(從 - 到)1861-1879
頁數19
期刊Transactions of the Institute of Measurement and Control
41
發行號7
DOIs
出版狀態Published - 2019 四月 1

All Science Journal Classification (ASJC) codes

  • Instrumentation

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