Sampled-data synchronization of singular Markovian jump system: Application to DC motor model

IF 1.7 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Linqi Wang, Guoliang Chen, Te Yang, Jianwei Xia
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引用次数: 0

Abstract

Sampled-data synchronization problem for singular Markovian jump systems (SMJSs) subject to aperiodic sampled-data control is investigated. Firstly, via constructing mode-dependent one-sided loop-based Lyapunov functional (LBLF) and two-sided LBLF, two different stochastically admissible conditions are suggested for error SMJSs with aperiodic sampled-data. It is guaranteed that the slave system is stochastically synchronized to the master system on the basis of the proposed stochastically admissible conditions. Secondly, two corresponding mode-dependent aperiodic sampled-data controller design approaches are provided for error SMJSs based on two different conditions, separately. Finally, the validity of these approaches is demonstrated by a direct current (DC) motor model. It also demonstrated that the two-sided LBLF method possesses a larger upper bound of sampled-data period than the one-sided LBLF method.

Abstract Image

奇异马尔可夫跳变系统的采样数据同步:在直流电机模型中的应用
研究了非周期采样数据控制下奇异马尔可夫跳变系统的采样数据同步问题。首先,通过构造基于模式相关单侧环的Lyapunov泛函(LBLF)和基于双侧LBLF,提出了具有非周期采样数据的误差smjs的两种不同的随机允许条件;在提出的随机允许条件的基础上,保证从系统随机同步到主系统。其次,分别针对两种不同条件下的误差smjs给出了两种相应的模态相关非周期采样数据控制器设计方法。最后,通过直流电机模型验证了这些方法的有效性。结果还表明,与单侧LBLF方法相比,双侧LBLF方法具有更大的采样周期上界。
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来源期刊
IET Cyber-Physical Systems: Theory and Applications
IET Cyber-Physical Systems: Theory and Applications Computer Science-Computer Networks and Communications
CiteScore
5.40
自引率
6.70%
发文量
17
审稿时长
19 weeks
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