Adaptive robust control of fractional-order swarm systems in the presence of model uncertainties and external disturbances

被引:22
|
作者
Soorki, Mojtaba Naderi [1 ]
Tavazoei, Mohammad Saleh [1 ]
机构
[1] Sharif Univ Technol, Dept Elect Engn, Tehran, Iran
来源
IET CONTROL THEORY AND APPLICATIONS | 2018年 / 12卷 / 07期
基金
美国国家科学基金会;
关键词
adaptive control; robust control; variable structure systems; asymptotic stability; Lyapunov methods; linear systems; fractional-order swarm systems; model uncertainties; external disturbances; asymptotic swarm stabilisation; fractional-integral sliding manifold; adaptive-robust sliding mode controller; fractional-order linear time-invariant swarm system; Lyapunov stability theorem; MULTIAGENT SYSTEMS; CONSENSUS; STABILITY; IDENTIFICATION; NETWORKS;
D O I
10.1049/iet-cta.2017.0035
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This study investigates the asymptotic swarm stabilisation of fractional-order swarm systems in the presence of two different kinds of model uncertainties and external disturbances while the upper bound of the uncertainties is a linear function of pseudo-states norms with unknown coefficients. To this end, first a fractional-integral sliding manifold is constructed and then an adaptive-robust sliding mode controller is designed to guarantee the asymptotic swarm stability in a fractional-order linear time-invariant swarm system. The stability analysis of the proposed control system is done based on the Lyapunov stability theorem. Using the proposed controller, the coefficients of the upper bound function of the uncertainties are estimated by adaptive laws. Simulation results are provided to show the effectiveness of the proposed controller.
引用
收藏
页码:961 / 969
页数:9
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