一类具有干扰噪声的MIMO非线性系统的混合h2 / H∞$$ {H}_2/{H}_{\infty } $$区间观测器设计

IF 3.2 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Zeren Yi, Ronghu Wei, Fannie Kong, Wei Xie
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引用次数: 0

摘要

基于混合h2 / H∞的区间观测器$$ {H}_2/{H}_{\infty } $$性能指标本文针对一类受外部干扰噪声影响的多输入多输出(MIMO)非线性系统,提出了一种多输入多输出(MIMO)方法。本文考虑外部干扰噪声对非线性系统的影响,构造了区间观测器来获取MIMO非线性系统的区间状态。然后,区间观测器增益由混合h2 / H∞组合计算$$ {H}_2/{H}_{\infty } $$性能指标。该方法使间隔宽度变窄,减小了外界干扰噪声的影响。将优化问题转化为线性矩阵不等式。最后,通过李亚普诺夫稳定性理论证明了该方法的理论可行性。通过机械臂系统验证了该方法的有效性。该方法使区间观测器以较小的区间宽度获得区间估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hybrid H 2 / H ∞ $$ {H}_2/{H}_{\infty } $$ Interval Observer Design for a Class of MIMO Nonlinear Systems With Interference Noise

An interval observer based on hybrid H 2 / H $$ {H}_2/{H}_{\infty } $$ performance index is proposed for a class of multi-input multi-output (MIMO) nonlinear systems subject to external interference noise in this article. In this article, considering the effect of external interference noise on the nonlinear systems, the interval observer is constructed to obtain the system interval state for the MIMO nonlinear systems. Then, the interval observer gain is calculated by combining the hybrid H 2 / H $$ {H}_2/{H}_{\infty } $$ performance index. The introduced method makes the interval width narrower and reduces the effect of external interference noise. The optimization problem is transformed into linear matrix inequalities. Eventually, the proposed method's theoretical viability has been demonstrated through Lyapunov stability theory. The efficacy of the proposed approach is substantiated through the robotic arm system. The approach making the interval observer obtained interval estimates with smaller interval widths.

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来源期刊
International Journal of Robust and Nonlinear Control
International Journal of Robust and Nonlinear Control 工程技术-工程:电子与电气
CiteScore
6.70
自引率
20.50%
发文量
505
审稿时长
2.7 months
期刊介绍: Papers that do not include an element of robust or nonlinear control and estimation theory will not be considered by the journal, and all papers will be expected to include significant novel content. The focus of the journal is on model based control design approaches rather than heuristic or rule based methods. Papers on neural networks will have to be of exceptional novelty to be considered for the journal.
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