具有参数不确定性和一般不确定性转换率的时延马尔可夫跃迁非线性系统的有限时间 $$H_infty $$ 控制

IF 1.8 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Chenyang Jiao, Juan Zhou
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引用次数: 0

摘要

本文主要研究一类具有时变延迟和一般不确定转换率的不确定马尔可夫跃迁非线性系统(MJNSs)的有限时间(H_{\infty }\)控制问题。通过构建适当的 Lyapunov-Krasovskii 函数和自由加权矩阵,我们得出了具有 \(H_{\infty }\) 性能的 MJNS 的有限时间约束性新标准。我们使用一种特殊的方法来处理双线性项,设计了与模式相关的状态反馈控制器,以严格线性矩阵不等式的形式确保闭环系统的有限时间约束性。最后,给出了数值和实际例子来证明所提方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Finite-Time $$H_\infty $$ Control for Time-Delayed Markovian Jump Nonlinear Systems with Parameter Uncertainties and Generally Uncertain Transition Rates

Finite-Time $$H_\infty $$ Control for Time-Delayed Markovian Jump Nonlinear Systems with Parameter Uncertainties and Generally Uncertain Transition Rates

This paper mainly investigates the problem of finite-time \(H_{\infty }\) control for a class of uncertain Markovian jump nonlinear systems (MJNSs) with time-varying delay and generally uncertain transition rates. By constructing the appropriate Lyapunov–Krasovskii functional and free weighting matrices, a novel criterion on finite-time boundedness for the MJNSs with \(H_{\infty }\) performance is derived. We use a special way to deal with the bilinear terms, the mode-dependent state feedback controller is designed to ensure the \(H_{\infty }\) finite-time boundedness of the closed-loop system in the forms of strict linear matrix inequalities. Finally, numerical and practical examples are given to demonstrate the effectiveness of the proposed method.

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来源期刊
Circuits, Systems and Signal Processing
Circuits, Systems and Signal Processing 工程技术-工程:电子与电气
CiteScore
4.80
自引率
13.00%
发文量
321
审稿时长
4.6 months
期刊介绍: Rapid developments in the analog and digital processing of signals for communication, control, and computer systems have made the theory of electrical circuits and signal processing a burgeoning area of research and design. The aim of Circuits, Systems, and Signal Processing (CSSP) is to help meet the needs of outlets for significant research papers and state-of-the-art review articles in the area. The scope of the journal is broad, ranging from mathematical foundations to practical engineering design. It encompasses, but is not limited to, such topics as linear and nonlinear networks, distributed circuits and systems, multi-dimensional signals and systems, analog filters and signal processing, digital filters and signal processing, statistical signal processing, multimedia, computer aided design, graph theory, neural systems, communication circuits and systems, and VLSI signal processing. The Editorial Board is international, and papers are welcome from throughout the world. The journal is devoted primarily to research papers, but survey, expository, and tutorial papers are also published. Circuits, Systems, and Signal Processing (CSSP) is published twelve times annually.
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