不确定多智能体系统的自适应增益鲁棒编队控制策略

IF 1.3 Q3 ENGINEERING, MULTIDISCIPLINARY
S. Ito, K. Ohara, Y. Hoshi, H. Oya, Shunya Nagai
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引用次数: 3

摘要

针对不确定多智能体系统,研究了一种自适应增益鲁棒控制器的设计问题。在所提出的控制器设计方法中,明确考虑了领导者和追随者之间的相对位置,并且所提出的由固定增益和可变增益组成的自适应增益鲁棒控制器可以通过时变可调参数来调节,从而减少不确定性的影响。在本文中,我们证明了所提出的自适应增益鲁棒控制器存在的充分条件被简化为线性矩阵不等式(LMIs)的可解性。最后,通过简单的数值模拟验证了所提出的鲁棒编队控制系统的有效性。研究的一个主要结果是,所提出的自适应增益鲁棒控制器可以在不确定的情况下实现一致性和考虑相对距离的编队控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Robust Formation Control Strategy for Multi-Agent Systems with Uncertainties via Adaptive Gain Robust Controllers
This paper deals with a design problem of an adaptive gain robust controller which achieves consensus for multi-agent system (MAS) with uncertainties. In the proposed controller design approach, the relative position between the leader and followers are considered explicitly, and the proposed adaptive gain robust controller consisting of fixed gains and variable ones tuned by time-varying adjustable parameters can reduce the effect of uncertainties. In this paper, we show that sufficient conditions for the existence of the proposed adaptive gain robust controller are reduced to solvability of linear matrix inequalities (LMIs). Finally, the effectiveness of the proposed robust formation control system is verified by simple numerical simulations. A main result of this study is that the proposed adaptive gain robust controller can achieve consensus and formation control giving consideration to relative distance in spite of uncertainties.
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来源期刊
CiteScore
2.80
自引率
0.00%
发文量
18
审稿时长
12 weeks
期刊介绍: The IJETI journal focus on the field of engineering and technology Innovation. And it publishes original papers including but not limited to the following fields: Automation Engineering Civil Engineering Control Engineering Electric Engineering Electronic Engineering Green Technology Information Engineering Mechanical Engineering Material Engineering Mechatronics and Robotics Engineering Nanotechnology Optic Engineering Sport Science and Technology Innovation Management Other Engineering and Technology Related Topics.
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