不确定扰动系统的鲁棒控制有限时间镇定

IF 1.6 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS
P. Ordaz, H. Alazki, B. Sánchez, M. Ordaz-Oliver
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引用次数: 0

摘要

利用线性鲁棒控制研究一类不确定扰动系统的有限时间镇定问题。所提出的算法旨在提供线性反馈控制方案的鲁棒性,使系统轨迹在有限时间内到达不稳定平衡点附近的小尺寸吸引集。为此,提出了一个具有线性矩阵不等式约束的优化问题。这意味着外部干扰的影响,以及匹配和不匹配的不确定动态,可以显着减少。最后,以无人机飞行轨迹跟踪为例,验证了所提闭环控制策略的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the Finite Time Stabilization Via Robust Control for Uncertain Disturbed Systems
Abstract This paper deals with the finite-time stabilization problem for a class of uncertain disturbed systems using linear robust control. The proposed algorithm is designed to provide the robustness of a linear feedback control scheme such that system trajectories arrive at a small-size attractive set around an unstable equilibrium in a finite time. To this end, an optimization problem with a linear matrix inequality constraint is presented. This means that the effects of external disturbances, as well as matched and mismatched uncertain dynamics, can be significantly reduced. Finally, the performance of the suggested closed-loop control strategies is shown by the trajectory tracking of an unmanned aerial vehicle flight.
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来源期刊
CiteScore
4.10
自引率
21.10%
发文量
0
审稿时长
4.2 months
期刊介绍: The International Journal of Applied Mathematics and Computer Science is a quarterly published in Poland since 1991 by the University of Zielona Góra in partnership with De Gruyter Poland (Sciendo) and Lubuskie Scientific Society, under the auspices of the Committee on Automatic Control and Robotics of the Polish Academy of Sciences. The journal strives to meet the demand for the presentation of interdisciplinary research in various fields related to control theory, applied mathematics, scientific computing and computer science. In particular, it publishes high quality original research results in the following areas: -modern control theory and practice- artificial intelligence methods and their applications- applied mathematics and mathematical optimisation techniques- mathematical methods in engineering, computer science, and biology.
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