Distributed containment control of fractional‐order multi‐agent systems using neural networks. Issue 1 (10th September 2020)

• Record Type: Journal Article
• Authors: Yuan, Xiaolin; Mo, Lipo; Yu, Yongguang
• Is Part Of: Asian journal of control. Volume 24:Issue 1(2022)
• Page Start: 149
• Page End: 158
• Publication Date: 2020-09-10
• Subjects: containment control -- fractional‐order multi‐agent systems -- neural networks; Automatic control -- Periodicals; Control theory -- Periodicals; 629.805
• DOI: 10.1002/asjc.2423
• Languages: English
• ISSNs: 1561-8625

Abstract

Abstract: This paper investigates the containment problem for fractional‐order multi‐agent systems (FOMASs) with unknown nonlinear functions over a directed communication topology. To solve this problem, the unknown functions are emulated by radial basis function neural networks. Then, we design novel distributed containment algorithms with adaptive control gainsand deduce some sufficient conditions. By taking the properties of the Mittag–Leffler function, the convergence analysis is finished. Finally, simulation examples show the effectiveness of the obtained theoretical results.