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| 1 | Robust Dataset Classification Approach Based on Neighbor Searching and Kernel Fuzzy C-Means显示文摘Dataset classification is an essential fundament of computational intelligence in cyber-physical systems(CPS).Due to the complexity of CPS dataset classification and the uncertainty of clustering number,this paper focuses on clarifying the dynamic behavior of acceleration dataset which is achieved from micro electro mechanical systems(MEMS)and complex image segmentation.To reduce the impact of parameters uncertainties with dataset classification,a novel robust dataset classification approach is proposed based on neighbor searching and kernel fuzzy c-means(NSKFCM)methods.Some optimized strategies,including neighbor searching,controlling clustering shape and adaptive distance kernel function,are employed to solve the issues of number of clusters,the stability and consistency of classification,respectively.Numerical experiments finally demonstrate the feasibility and robustness of the proposed method. | Li Liu Aolei Yang Wenju Zhou Xiaofeng Zhang Minrui Fei Xiaowei Tu | 2015 | IEEE/CAA Journal of Automatica Sinica2015，2，3： | 7 |
| 2 | Decentralized Event-Triggered Average Consensus for Multi-Agent Systems in CPSs with Communication Constraints显示文摘The paper investigates decentralized event-triggered average consensus problem for multi-agent systems in cyberphysical systems(CPSs) with communication constraints.To reduce communication burden and improve the communication efficiency of multi-agent systems in CPSs,event-trigger is distributed at subsystem/agent level.A multi-agent system is then modeled as a reduced dimension hybrid system by taking into account decentralized event-triggered mechanism,communication delays and data dropouts within one framework.Some sufflcient conditions for average consensus of each agent and an upper bound of communication delay and maximal allowable number of successive data dropouts(MANSD) are obtained,which can conveniently provide the relationship between the triggering parameters,communication constraints and the system stability.Specially,the quantitative relationship between the triggering parameters,MANSD and the system stability is derived.Finally,simulation results are given to illustrate the effectiveness of the proposed method. | Zhaoxia Wang Minrui Fei Dajun Du Min Zheng | 2015 | IEEE/CAA Journal of Automatica Sinica2015，2，3： | 6 |
| 3 | Two-layer networked learning control using self-learning fuzzy control algorithms显示文摘Since the existing single-layer networked control systems have some inherent limitations and cannot effectively handle the problems associated with unreliable networks, a novel two-layer networked learning control system (NLCS) is proposed in this paper. Its lower layer has a number of local controllers that are operated independently, and its upper layer has a learning agent that communicates with the independent local controllers in the lower layer. To implement such a system, a packet-discard strategy is firstly developed to deal with network-induced delay and data packet loss. A cubic spline interpolator is then employed to compensate the lost data. Finally, the output of the learning agent based on a novel radial basis function neural network (RBFNN) is used to update the parameters of fuzzy controllers. A nonlinear heating, ventilation and air-conditioning (HVAC) system is used to demonstrate the feasibility and effectiveness of the proposed system. | Du Dajun Fei Minrui Hu Huosheng Li Lixiong | 2007 | 仪器仪表学报2007，28，12： | 3 |
| 4 | A novel modified binary differential evolution algorithm and its applications显示文摘 | Ling Wang Xiping Fu Yunfei Mao Muhammad Ilyas Menhas Minrui Fei | 2012 | Neurocomputing2012，，： | 1 |
| 5 | An efficient quantum immune algorithm to minimize mean flow time for hybrid flow shop problems显示文摘 | Qun Niu Taijin Zhou Minrui Fei Bing Wang | 2012 | Mathematics and Computers in Simulation2012，，： | 1 |
| 6 | Variations of bio- geography-based opti- mization and Markov analysis 显示文摘 | MaHaiping D Simon Fei Minrui Xie Zhikun | 2013 | Infor- mation Sciences2013，2013，： | 1 |
| 7 | Robust Hco control of discrete switched systems with time delay 显示文摘 | SONGYong FAN Jian FEI Minrui | 2008 | Appl MathComput2008，205，1： | 1 |
| 8 | Recognition of Blue- green Algae in Lakes Using Distributive Genetic Algo- rithm-based Neural Networks显示文摘 | YAO Zhi-hong MINRUI Fei KANG Li | 2007 | Neurocomputing2007，70，： | 1 |
| 9 | An efficient quantum immune algorithm to minimize mean flow time for hybrid flow shop problems显示文摘 | Niu Qun Zhou Taijin Fei Minrui | 2012 | Mathematics and Computers in Simulation2012，84，10： | 1 |
| 10 | Roubust stability of a uncertain nonlinear networked control system category显示文摘 | Fei Minrui Yi J un Hu Huosheng | 2006 | International Journal of Control Automation and Systems2006，4，2： | 1 |
| 11 | Variations of biogeography-based optimization and Markov analysis显示文摘 | Ma Haiping Simon D Fei Minrui | 2013 | Information Sciences2013，220，： | 1 |
| 12 | A sparse represen- tation based fast detection method for surface defection of bot- tle caps 显示文摘 | Zhou Wenju Fei Minrui Zhou Huiyu etal | 2014 | Neurocomputing2014，123，10： | 1 |
| 13 | Direct Nyquist array design of PID controllers for boiler-turbine units based on gain and phase margins显示文摘 | Hui Pan Minrui Fei Ling Wang | 2012 | International Journal of Computer Applications in Technology2012，43，1： | 1 |
| 14 | A fast multi-output RBF neural network construction method 显示文摘 | DuDajun Li Kang Fei Minrui | 2010 | Neurocomputing2010，73，1012： | 1 |
| 15 | An adaptive mutation--dissipation binary particle swarm optimizations for multidimensional knapsack problem 显示文摘 | Wang Ling Wang Xiuting Fei Minrui | 2009 | International Journal of Modelling Identification and Control2009，8，4： | 1 |
| 16 | Modeling and Stabili- ty Analysis of Gray-Fuzzy Predictive Control 显示文摘 | Wei Lisheng Fei Minrui Hu Huosheng | 2008 | Neurocom- puting2008，72，2： | 1 |
| 17 | Recognition of blue-green algae in lakes using distributive genetic algorithm-based neural networks显示文摘 | Zhihong Yao Minrui Fei Kang Li | 2007 | Neurocomputing2007，70，： | 1 |
| 18 | A Review on Cybersecurity Analysis,Attack Detection,and Attack Defense Methods in Cyber-physical Power Systems显示文摘Potential malicious cyber-attacks to power systems which are connected to a wide range of stakeholders from the top to tail will impose significant societal risks and challenges.The timely detection and defense are of crucial importance for safe and reliable operation of cyber-physical power systems(CPPSs).This paper presents a comprehensive review of some of the latest attack detection and defense strategies.Firstly,the vulnerabilities brought by some new information and communication technologies(ICTs)are analyzed,and their impacts on the security of CPPSs are discussed.Various malicious cyber-attacks on cyber and physical layers are then analyzed within CPPSs framework,and their features and negative impacts are discussed.Secondly,two current mainstream attack detection methods including state estimation based and machine learning based methods are analyzed,and their benefits and drawbacks are discussed.Moreover,two current mainstream attack defense methods including active defense and passive defense methods are comprehensively discussed.Finally,the trends and challenges in attack detection and defense strategies in CPPSs are provided. | Dajun Du Minggao Zhu Xue Li Minrui Fei Siqi Bu Lei Wu Kang Li | 2023 | Journal of Modern Power Systems and Clean Energy2023，11，3： | 1 |
| 19 | An Improved Result on the Stability of Uncertain T-S Fuzzy Systems with Interval Time-Varying Delay显示文摘 | Peng Chen Fei Minrui | 2013 | Fuzzy Sets and Systems2013，212，1： | 1 |
| 20 | Free weight exercises recognition based on dynamic time warping of acceleration data 显示文摘 | Li Chuanjiang Fei Minrui Hu Huosheng | 2013 | Communications in Computer and Information Science2013，355，9： | 1 |
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