Adaptive fuzzy observer-based cooperative control of unknown fractional-order multi-agent systems with uncertain dynamics

被引：17
|
作者：
Afaghi, A. [1 ]
Ghaemi, S. [1 ]
Ghiasi, A. R. [1 ]
Badamchizadeh, M. A. [1 ]
机构：
[1] Univ Tabriz, Dept Control Engn, Fac Elect & Comp Engn, Tabriz, Iran
来源：
SOFT COMPUTING | 2020年 / 24卷 / 05期
关键词：
Multi-agent systems; Fractional order; Robust control; Uncertain dynamics; LEADER-FOLLOWING CONSENSUS; TRACKING CONTROL; NEURAL-NETWORK; SYNCHRONIZATION; OPERATORS;
D O I：
10.1007/s00500-019-04142-9
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In our paper, a new cooperative control for unknown fractional-order multi-agent systems is proposed. In addition to unknown dynamics, for the first time, the values of the fractional orders are also assumed to be unknown, and a new robust observer-based cooperative method for consensus issue of multi-agent systems (MASs) is presented. The unknown functions in the dynamics of the systems in all agents are estimated with the proposed interval type 2 fuzzy self-structuring radial basis function neural network (IT2F-SRBFNN). The free parameters of all IT2F-SRBFNN in all agents are adjusted using the adaptation laws which can be derived from the Lyapunov stability analysis. The strength of the proposed strategy is verified by a number of simulation examples.
引用
收藏
页码：3737 / 3752
页数：16
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