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Resilient dynamic event-triggered and self-triggered control for Markov jump systems under denial-of-service attacks

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Science China(Information Sciences) 2022年第9期65卷 303-304页

作者： Pengyu ZENG feiqi deng Xiaohua LIU Hongyang ZHANG School of Automation Science and Engineering South China University of Technology

Dear editor,As a kind of hybrid systems, Markov jump systems have made remarkable progress by the researchers from the various fields in the past few decades [1]. Unlike switched systems with a definite jump signal [2], a random signal adjusts the working sequence of subsystems in Markov jump systems. Meanwhile, for networks with limited bandwidth and energy, the time-triggering scheme accelerates resource consumption. One of the effective ways of tackling this problem is to adopt event-triggering scheme (ETS)[3, 4].

关键词： Markov jump systems dynamic event-triggering scheme (ETS) self-triggering scheme (STS) denial-of-service (DoS) attacks resilient control

On the Solutions of the Matrix Equations in Optimal Stochastic Control

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Journal of Systems Engineering and Electronics 1999年第3期10卷 38-43页

作者： deng, feiqi Hu, Gang Liu, Yongqing Feng, Zhaoshu South China Univ of Technology Guangzhou China

In this paper, the matrix algebraic equations involved in the optimal control problem of time-invariant linear Ito stochastic systems, named Riccati- Ito equations in the paper, are investigated. The necessary and sufficient condition for the existence of positive definite solutions of the Riccati- Ito equations is obtained and an iterative solution to the Riccati- Ito equations is also given in the paper thus a complete solution to the basic problem of optimal control of time-invariant linear Ito stochastic systems is then obtained. An example is given at the end of the paper to illustrate the application of the result of the paper.

关键词： Computational methods Control system analysis Control system synthesis Iterative methods Linear control systems Matrix algebra Optimal control systems Riccati equations

W^(1,2)(Ω)-and X^(1,2)(Ω)-stability of reactiondiffusion cellular neural networks with delay

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Science in China(Series F) 2008年第12期51卷 1980-1991页

作者： LUO YiPing XIA WenHua LIU GuoRong deng feiqi Hunan Institute of Engineering Xiangtan 411101 China Institute of System Engineering South China University of Technology Guangzhou 510640 China

With Poincare＇s inequality and auxiliary function applied in a class of retarded cellular neural networks with reaction-diffusion, the conditions of the systems＇ W^1,2（Ω）-exponential and X^1,2（Ω）-asmptotic stability are obtained. The stability conditions containing diffusion term are different from those obtained in the previous papers in their exponential stability conditions. One example is given to illustrate the feasibility of this method in the end.

关键词： cellular neural networks reaction-diffusion W^1,2(Ω)- and X^1,2(Ω)-asymptotic stability delay

Distributed Average Consensus in Multi-agent Networks with Limited Bandwidth and Time-delays

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IEEE/CAA Journal of Automatica Sinica 2014年第2期1卷 193-203页

作者： Wenhui Liu feiqi deng Jiarong Liang Haijun Liu College of Automation Science and Engineering South China University of Technology School of Computer Electronics and InformationGuangxi University School of Mathematics and Statistics Zhengzhou University

This paper studies the distributed average consensus problem of multi-agent digital networks with time-delays. For the network, each agent can only exchange symbolic data with its neighbours. We provide a distributed average consensus protocol which uses the quantized and time-delay information. We consider two types of dynamic encoders/decoders in our *** uses inverse proportion function as scaling function, while the other uses exponential function as scaling function. All agents can reach average consensus asymptotically with our ***, we show that the average consensus protocol is robust to finite symmetric time-delays, but is sensitive to asymmetric time-delays that will destroy the average consensus of the networks. Finally, simulations are presented to illustrate validity of our theoretical results.

关键词： Algorithm design and analysis Bandwidth Communication channels Decoding Protocols Quantization (signal) Multi-agent networks average consensus communication constraints quantization time-delays NETWORKING AGENT Bandwidth Quantization time delay scaling function Algorithm design and analysis Communication channels DECODING protocols

Observer-based event-triggered asynchronous control of networked Markovian jump systems under deception attacks

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Science China(Information Sciences) 2023年第5期66卷 295-296页

作者： Xiaobin GAO feiqi deng Hongyang ZHANG Pengyu ZENG School of Automation Science and Engineering South China University of Technology

Dear editor,Markovian jump systems (MJSs) have been investigated for decades [1, 2]. Most existing results on MJSs assume that the mode switching of the controller/filter is synchronized with the operational system. However, due to time delays, packet dropouts, etc., controller/filter may work asynchronously [3]. In addition, when MJS control components are connected via communication networks,

关键词： Closed loop systems

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基于主成分分析的多域特征融合轴承故障诊断

机床与液压 2024年第6期52卷 167-176页

作者：周凌孟邓飞其张清华孙国玺苏乃权朱冠华华南理工大学自动化科学与工程学院广东广州510000 广东石油化工学院广东省石化装备故障诊断重点实验室广东茂名525000

针对复杂工况下难以区分轴承故障状态的问题,提出一种基于主成分分析的多域特征融合轴承故障诊断方法。采集轴承振动加速度信号,提取轴承时域新量纲一化特征、频域幅值谱特征和时频域经验模态分解特征共13维特征用于完整表征轴承状态;... 详细信息

针对复杂工况下难以区分轴承故障状态的问题,提出一种基于主成分分析的多域特征融合轴承故障诊断方法。采集轴承振动加速度信号,提取轴承时域新量纲一化特征、频域幅值谱特征和时频域经验模态分解特征共13维特征用于完整表征轴承状态;利用主成分分析方法对所提取特征融合与降维,降低诊断模型复杂度与数据分析难度;最后,选择合适的卷积神经网络进行分类,通过石化机组故障诊断实验平台进行验证。结果表明:多域融合特征相对于单域特征诊断效果更好,卷积神经网络分类模型相对于其他经典分类模型诊断准确率更高,融合诊断分类方法整体诊断准确率达到86%。

关键词：轴承特征融合主成分分析方法卷积神经网络故障诊断

Theory and application of stability for stochastic reaction diffusion systems

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Science in China(Series F) 2008年第2期51卷 158-170页

作者： LUO Qi deng feiqi MAO XueRong BAO JunDong ZHANG YuTian College of Information and Control Nanjing University of Information Science & Technology Nanjing 210044 China College of Automation South China University of Technology Guangzhou 410640 China Department of Statistics and Modelling Science University of-Strathc/yde Glasgow G1 IXH Scotland UK Coilege of Mathematics Science Inner Mongolia Normal'University Huhhot 010000 China College of Mathematics and Physics Nanjing University of Information Science & Technology Nanjing 210044 China

So far, the Lyapunov direct method is still the most effective technique in the study of stability for ordinary differential equations and stochastic differential equations. Due to the shortage of the corresponding It6 formula, this useful method has not been popularized in stochastic partial differential equations. The aim of this work is to try to extend the Lyapunov direct method to the It6 stochastic reaction diffusion systems and to establish the corresponding Lyapunov stability theory, including stability in probablity, asymptotic stability in probablity, and exponential stability in mean square. As the application of the obtained theorems, this paper addresses the stability of the Hopfield neural network and points out that the main results ob- tained by Holden Helge and Liao Xiaoxin et al. can be all regarded as the corollaries of the theorems presented in this paper.

关键词： stochastic reaction diffusion system stability in probability asymptotic stability in probability exponentialstability in mean square

RAZUMIKHIN-TYPE THEOREMS FOR ASYMPTOTIC STABILITY OF IMPULSIVE STOCHASTIC FUNCTIONAL DIFFERENTIAL SYSTEMS

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Journal of Systems Science and Systems Engineering 2010年第1期19卷 72-84页

作者： Pei CHENG~1 feiqi deng~2 Xisheng DAI~3 Systems Engineering Institute,South China University of Technology,Guangzhou 510640,China Systems Engineering Institute South China University of Technology Guangzhou China

In this paper, we investigate the pth moment uniformly asymptotic stability of impulsive stochastic ftmctional differential systems by extending some Razumikhin-type theorems. Based on the Lyapunov functions and Razumikhin techniques, some criteria are established and their applications to impulsive stochastic delay systems are proposed. An illustrative example shows the effectiveness of our results.

关键词： Stochastic functional differential systems Impulse Razumiltial theorems Asymptotic stability

Oscillation of Higher Order Linear Impulsive Dynamic Equations on Time Scales

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Applied Mathematics 2012年第6期3卷 581-586页

作者： Chaolong Zhang feiqi deng College of Automation Science and Engineering South China University of Technology Guangzhou China

In this paper, we will establish some oscillation criteria for the higher order linear dynamic equation on time scale in term of the coefficients and the graininess function. We illustrate our results with an example.

关键词： Oscillation High Order Dynamic Equation Time Scale Riccati Tramsformation