具有极限模式切换信息的隐马尔可夫跃迁奇异系统的稳定问题

IF 7 1区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

IEEE Transactions on Automatic Control Pub Date : 2024-12-16 DOI:10.1109/TAC.2024.3518418

Bao Wang;Quanxin Zhu;Subei Li

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引用次数: 0

摘要

研究了一类转移概率和发射概率部分已知的离散隐马尔可夫跳变奇异系统的稳定性分析和镇定问题。为了保证系统的正则性、因果性和随机稳定性，提出了具有原始系数矩阵的新颖充分条件。在此条件下，可以设计出基于线性矩阵不等式的异步控制器设计方法。最后通过实例验证了该控制器设计方法的有效性。

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Stabilization of Hidden Markov Jump Singular Systems With Limit Mode Switching Information

This article studies the stability analysis and stabilization problems for a class of discrete-time hidden Markov jump singular systems with partly known transition probabilities and emission probabilities. The novel sufficient conditions with original coefficient matrices are proposed to guarantee the regularity, causality, and stochastic stability of the considered systems. Based on such conditions, the linear matrix inequalities-based asynchronous controller design method for the resulting control systems can be designed. An example is presented to show the effectiveness of our controller design method.

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来源期刊

IEEE Transactions on Automatic Control 工程技术-工程：电子与电气

CiteScore

11.30

自引率

5.90%

发文量

824

审稿时长

9 months

期刊介绍： In the IEEE Transactions on Automatic Control, the IEEE Control Systems Society publishes high-quality papers on the theory, design, and applications of control engineering. Two types of contributions are regularly considered: 1) Papers: Presentation of significant research, development, or application of control concepts. 2) Technical Notes and Correspondence: Brief technical notes, comments on published areas or established control topics, corrections to papers and notes published in the Transactions. In addition, special papers (tutorials, surveys, and perspectives on the theory and applications of control systems topics) are solicited.