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Distributed consensus tracking of unknown nonlinear chaotic delayed fractional-order multi-agent systems with external disturbances based on ABC algorithm

机译:基于ABC算法的外部干扰的未知非线性混沌分数阶多Agent系统的分布式共识跟踪。

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In this paper, the distributed consensus tracking of unknown nonlinear chaotic delayed fractional-order multi-agent systems (FOMASs) with external disturbances is investigated, where the fractional orders and system parameters are unknown. Firstly, in order to identify the unknown parameters of the delayed nonlinear FOMASs, an efficient artificial bee colony algorithm (ABC)-based parameters estimation approach is put forward. Secondly, based on the estimated parameters, by using fractional derivative inequality and comparison principle of linear fractional equation with delay, a discontinuous distributed control protocol is proposed to make the tracking errors converge to zero asymptotically. Thirdly, to overcome the undesirable chattering phenomenon caused by the discontinuous controller, a continuous distributed control algorithm is further designed and uniformly ultimately bounded (UUB) tracking errors can be obtained and reduced as small as desired. Finally, numerical simulations are given to test the effectiveness of the proposed parameters estimation scheme and the deigned control algorithms. (C) 2018 Elsevier B.V. All rights reserved.
机译:本文研究了分数阶和系统参数未知的未知非线性混沌分数阶多智能体系统(FOMAS)的分布式共识跟踪。首先,为了识别延迟非线性FOMAS的未知参数,提出了一种基于人工蜂群算法的有效参数估计方法。其次,在估计参数的基础上,利用分数阶导数不等式和具有延迟的线性分数方程的比较原理,提出了一种不连续分布控制协议,使跟踪误差渐近收敛到零。第三,为了克服由不连续控制器引起的不希望的颤动现象,进一步设计了一种连续分布式控制算法,并且可以获得统一的最终有界(UUB)跟踪误差并将其减小到所需的最小程度。最后,通过数值模拟来验证所提出的参数估计方案和设计控制算法的有效性。 (C)2018 Elsevier B.V.保留所有权利。

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