通过滑模策略实现奇异马尔可夫跳跃系统的鲁棒预览跟踪控制

IF 1.8 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Zufeng Peng, Junchao Ren
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引用次数: 0

摘要

本文针对一类离散时间奇异马尔可夫跃迁系统(SMJSs),研究了一种具有 \(H_{\infty }\) 性能的新型滑模预览控制(SMPC)问题。首先,基于对预览信息的分析,为离散时间 SMJS 建立了一个新的增强误差系统(AES)模型,并将 SMPC 问题重新表述为 AES 的稳定性问题。其次,为 AES 建立了新的与模式无关的滑动面函数,使得滑动模态面(SMS)的可达性总是可以实现的。第三,推导出滑动模态动力学的(H_{\infty }\)容许稳定性的充分条件,在此基础上设计出合适的 SMPC 规律,以满足离散时间可达性条件。最后,仿真结果表明,所提出的 SMPC 法则优于没有可预览信息的控制法则。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Robust Preview Tracking Control of Singular Markovian Jump Systems via a Sliding Mode Strategy

Robust Preview Tracking Control of Singular Markovian Jump Systems via a Sliding Mode Strategy

In this paper, a novel sliding mode preview control (SMPC) problem with \(H_{\infty }\) performance is investigated for a category of discrete-time singular Markovian jump systems (SMJSs). A novel augmented error system (AES) model is first developed for discrete-time SMJSs based on the analysis of preview information, and the problem of SMPC is reformulated as the stability problem of AES. Secondly, a novel mode-independent sliding surface function is established for AES such that the reachability of sliding mode surfaces (SMS) can always be achievable. Thirdly, sufficient conditions of the \(H_{\infty }\) admissible stability for sliding mode dynamics is derived, based on which a suitable SMPC law is designed to satisfy discrete-time reachability condition. Finally, simulation results have shown that the proposed SMPC law is superior to the control law without previewable information.

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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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