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Prediction-based Manufacturing Center Self-adaptive Demand Side Energy Optimization in cyber physical systems

Chinese Journal of Mechanical Engineering 2014年第3期27卷 488-495页

作者： SUN Xinyao WANG Xue WU Jiangwei LIU Youda State Key Laboratory of Precision Measurement Technology and Instrument Tsinghua University

cyber physical systems（CPS） recently emerge as a new technology which can provide promising approaches to demand side management（DSM）, an important capability in industrial power systems. Meanwhile, the manufacturing center is a typical industrial power subsystem with dozens of high energy consumption devices which have complex physical dynamics. DSM, integrated with CPS, is an effective methodology for solving energy optimization problems in manufacturing center. This paper presents a prediction-based manufacturing center self-adaptive energy optimization method for demand side management in cyber physical systems. To gain prior knowledge of DSM operating results, a sparse Bayesian learning based componential forecasting method is introduced to predict 24-hour electric load levels for specific industrial areas in China. From this data, a pricing strategy is designed based on short-term load forecasting results. To minimize total energy costs while guaranteeing manufacturing center service quality, an adaptive demand side energy optimization algorithm is presented. The proposed scheme is tested in a machining center energy optimization experiment. An AMI sensing system is then used to measure the demand side energy consumption of the manufacturing center. Based on the data collected from the sensing system, the load prediction-based energy optimization scheme is implemented. By employing both the PSO and the CPSO method, the problem of DSM in the manufac^ring center is solved. The results of the experiment show the self-adaptive CPSO energy optimization method enhances optimization by 5% compared with the traditional PSO optimization method.

关键词： cyber physical systems manufacturing center self-adaptive demand side management particle swarm optimization

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physical layer authentication for automotive cyber physical systems based on modified HB protocol

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Frontiers of Computer Science 2021年第3期15卷 207-214页

作者： Ahmer Khan JADOON Jing LI Licheng WANG State key laboratory of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing 100876China School of Computer Science Guangzhou UniversityGuangzhou 510006China

Automotive cyber physical systems(CPSs)are ever more utilizing wireless technology for V2X communication as a potential way out for challenges regarding collision detection,wire strap up troubles and collision ***,security is constrained as a result of the energy and performance limitations of modem wireless ***,the need for efficient secret key generation and management mechanism for secured communication among computationally weak wireless devices has motivated the introduction of new authentication ***,there has been a great interest in physical layer based secret key generation schemes by utilizing channel ***,it is observed that the sequence generated by two communicating parties contain mismatched bits which need to be reconciled by exchanging information over a public *** can be an immense security threat as it may let an adversary attain and recover segments of the key in known channel *** proposed Hopper-Blum based physical layer(HB-PL)authentication scheme in which an enhanced physical layer key generation method integrates the Hopper-Blum(HB)authentication *** information collected from the shared channel is used as secret keys for the HB protocol and the mismatched bits are used as the induced noise for learning parity with noise(LPN)*** proposed scheme aims to provide a way out for bit reconciliation process without leakage of information over a public ***,HB protocol is computationally efficient and simple which helps to reduce the number of exchange messages during the authentication *** have performed several experiments which show that our proposed design can generate secret keys with improved security strength and high performance in comparison to the current authentication *** scheme requires less than 55 exchange messages to achieve more than 95%of correct authentication.

关键词： cyber physical systems secret key generation learning parity with noise Hopper and Blum protocol

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Reconstruction of measurements in state estimation strategy against deception attacks for cyber physical systems

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Control Theory and Technology 2018年第1期16卷 1-13页

作者： Qinxue LI Bugong XU Shanbin LI Yonggui LIU Delong CUI School of Automation Science and Engineering South China University of Technology Guangzhou Guangdong 510640 China College of Computer and Electronic Information Guangdong University of Petrochemical Technology Maoming Guangdong 525000 China

Without the known state equation, a new state estimation strategy is designed to be against malicious attacks for cyber physical systems. Inspired by the idea of data reconstruction, the compressive sensing （CS） is applied to reconstruction of residual measurements after the detection and identification scheme based on the Markov graph of the system state, which increases the resilience of state estimation strategy against deception attacks. First, the observability analysis is introduced to decide the triggering time of the measurement reconstruction and the damage level from attacks. In particular, the dictionary learning is proposed to form the over-completed dictionary by K-singular value decomposition （K-SVD）, which is produced adaptively according to the characteristics of the measurement data. In addition, due to the irregularity of residual measurements, a sampling matrix is designed as the measurement matrix. Finally, the simulation experiments are performed on 6-bus power system. Results show that the reconstruction of measurements is completed well by the proposed reconstruction method, and the corresponding effects are better than reconstruction scheme based on the joint dictionary and the traditional Gauss or Bernoulli random matrix respectively. Especially, when only 29% available clean measurements are left, performance of the proposed strategy is still extraordinary, which reflects generality for five kinds of recovery algorithms.

关键词： State estimation deception attacks cyber physical systems reconstruction of measurements compressivesensing

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Reconstruction of Measurements in State Estimation Strategy Against cyber Attacks for cyber physical systems 36

Reconstruction of Measurements in State Estimation Strategy ...

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第36届中国控制会议

作者： Qinxue Li Bugong Xu Shanbin Li Yonggui Liu Delong Cui School of Automation Science and Engineering South China University of Technology College of Computer and Electronic Information Guangdong University of Petrochemical Technology

ISBN: (纸本)9781538629185

To improve the resilience of state estimation strategy against cyber attacks,the Compressive Sensing（CS） is applied in reconstruction of incomplete measurements for cyber physical ***,observability analysis is used to decide the time to run the reconstruction and the damage level from *** particular,the dictionary learning is proposed to form the over-completed dictionary by K-Singular Value Decomposition（K-SVD）.Besides,due to the irregularity of incomplete measurements,sampling matrix is designed as the measurement ***,the simulation experiments on 6-bus power system illustrate that the proposed method achieves the incomplete measurements reconstruction perfectly,which is better than the joint *** only 29% available measurements are left,the proposed method has generality for four kinds of recovery algorithms.

关键词： State estimation cyber attacks cyber physical systems Reconstruction of measurements Compressive sensing

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Analysis of cyber physical systems Security Via Networked Attacks 36

Analysis of Cyber Physical Systems Security Via Networked At...

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第36届中国控制会议

作者： Hui Ge Dong Yue Xiang-peng Xie Song Deng Yan Zhang School of Automation Engineering Nanjing University of Posts and Telecommunications Institute of Advance Technology Nanjing University of Posts and Telecommunications School of Electronic Science and Engineering Nanjing University of Posts and Telecommunications

ISBN: (纸本)9781538629185

In this paper,cyber physical system is analyzed from security perspective.A double closed-loop security control structure and algorithm with defense functions is *** this structure,the features of several cyber attacks are considered *** this structure,the models of information disclosure,denial-of-service（DoS） and Man-in-the-Middle Attack（MITM） are *** to each kind attack,different models are obtained and analyzed,then reduce to the unified *** on this,system security conditions are obtained,and a defense scenario with detail algorithm is design to illustrate the implementation of this program.

关键词： cyber physical systems Networked Control System Security Control Denial-of-service Stealth Attack

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Event-triggered finite-time command-filtered tracking control for nonlinear time-delay cyber physical systems against cyber attacks

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Frontiers of Information Technology & Electronic Engineering 2024年第2期25卷 225-236页

作者： Yajing MA Yuan WANG Zhanjie LI Xiangpeng XIE School of Internet of Things Nanjing University of Posts and TelecommunicationsNanjing210003China Institute of Advanced Technology for Carbon NeutralityNanjing University of Posts and TelecommunicationsNanjing210023China

This article addresses the secure finite-time tracking problem via event-triggered command-filtered control for nonlinear time-delay cyber physical systems(CPSs)subject to cyber *** the attack circumstance,the output and state information of CPSs is unavailable for the feedback design,and the classical coordinate conversion of the iterative process is incompetent in relation to the tracking *** solve this,a new coordinate conversion is proposed by considering the attack gains and the reference signal *** employing the transformed variables,a modified fractional-order command-filtered signal is incorporated to overcome the complexity explosion issue,and the Nussbaum function is used to tackle the varying attack *** systematically constructing the Lyapunov-Krasovskii functional,an adaptive event-triggered mechanism is presented in detail,with which the communication resources are greatly saved,and the finite-time tracking of CPSs under cyber attacks is ***,an example demonstrates the effectiveness.

关键词： cyber physical systems Finite-time tracking Event-triggered Command-filtered control Attacks

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The Characteristic Analyzation of cyber physical systems

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International English Education Research 2013年第12期 20-22页

cyber-physical systems （CPS） are complex distributed heterogeneous systems which integrating cyber and physical processes by computation, communication and control. During interaction between cyber and physical world, the traditional theories and applications has been difficult to satisfy real-time performance and efficient. cyber-physical systems clearly have a role to play in developing a new theory of computer-mediated physical systems. The aim of this work is to analysis the features and relation technology of CPS that get better understanding for this new field. We summarized the research progresses from different perspectives such as modeling, classical tools and applications. Finally, the research challenges for CPS are in brief outlined.

关键词： cyber physical systems human sensory architecture artificial intelligence

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QoS Modeling for Dependable and Distributed cyber physical systems Using Aspect-Oriented Approach

QoS Modeling for Dependable and Distributed Cyber Physical S...

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第十届电子商务、工程及科学领域的分布式计算和应用（DCABES）国际学术研讨会

作者： Lichen Zhang Faculty of Computer Science and Technology Guangdong University of Technology Guangzhou 510090,China

In cyber-physical systems,the description,control,management,consultation and guarantee of QoS are very complex and challenging work,Quality of Service(QoS) is directly related to system’s *** this paper,we present an aspect-oriented model for specifying Quality of Service(QoS) based on the combination of UML and *** believe that the two types of notation,graphical(semi-formal) and,respectively,formal,can efficiently complement each other and provide the basis for an aspect-oriented specification approach that can be both rigorous and practical for QoS *** examples depict how aspect-oriented methods can be used during QoS analysis and design process.

关键词： QoS cyber physical systems Aspect-Oriented

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Chaotic Sandpiper Optimization Based Virtual Machine Scheduling for cyber-physical systems

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Computer systems Science & Engineering 2023年第2期44卷 1373-1385页

作者： P.Ramadevi T.Jayasankar V.Dinesh M.Dhamodaran Department of Electronics and Communication Engineering University College of EngineeringBIT CampusAnna UniversityTiruchirapalli620025India Department of Electronics and Communication Engineering Kongu Engineering CollegePerundurai638060India Department of Electronics and Communication Engineering M.Kumarasamy College of EngineeringKarur639113India

Recently,with the growth of cyber physical systems(CPS),several applications have begun to deploy in the CPS for connecting the cyber space with the physical scale ***,the cloud computing(CC)enabled CPS offers huge processing and storage resources for CPS thatﬁnds helpful for a range of application *** the same time,with the massive development of applica-tions that exist in the CPS environment,the energy utilization of the cloud enabled CPS has gained signiﬁcant *** improving the energy effective-ness of the CC platform,virtualization technologies have been employed for resource management and the applications are executed via virtual machines(VMs).Since effective scheduling of resources acts as an important role in the design of cloud enabled CPS,this paper focuses on the design of chaotic sandpi-per optimization based VM scheduling(CSPO-VMS)technique for energy efﬁ-cient *** CSPO-VMS technique is utilized for searching for the optimum VM migration solution and it helps to choose an effective scheduling *** CSPO algorithm integrates the concepts of traditional SPO algorithm with the chaos theory,which substitutes the main parameter and combines it with the *** order to improve the process of determining the global optimum solutions and convergence rate of the SPO algorithm,the chaotic concept is included in the SPO *** CSPO-VMS technique also derives aﬁtness function to choose optimal scheduling strategy in the CPS *** order to demonstrate the enhanced performance of the CSPO-VMS technique,a wide range of simulations were carried out and the results are examined under varying *** simulation results ensured the improved performance of the CSPO-VMS technique over the recent methods interms of different measures.

关键词： Resource scheduling cyber physical systems cloud computing VM migration energy efﬁciency

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AI-Based Modeling and Data-Driven Evaluation for Smart Manufacturing Processes

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IEEE/CAA Journal of Automatica Sinica 2020年第4期7卷 1026-1037页

作者： Mohammadhossein Ghahramani Yan Qiao Meng Chu Zhou Adrian O’Hagan James Sweeney the University College Dublin BelfieldDublin 4Ireland the Institute of systems Engineering Macao University of Science and TechnologyMacaoChina the Helen and John C.Hartmann Department of Electrical and Computer Engineering New Jersey Institute of TechnologyNewarkNJ 07102 USA the Royal College of Surgeons in Ireland Dublin 8Ireland

Smart manufacturing refers to optimization techniques that are implemented in production operations by utilizing advanced analytics approaches. With the widespread increase in deploying industrial internet of things(IIOT) sensors in manufacturing processes, there is a progressive need for optimal and effective approaches to data *** machine learning and artificial intelligence to take advantage of manufacturing data can lead to efficient and intelligent automation. In this paper, we conduct a comprehensive analysis based on evolutionary computing and neural network algorithms toward making semiconductor manufacturing *** propose a dynamic algorithm for gaining useful insights about semiconductor manufacturing processes and to address various challenges. We elaborate on the utilization of a genetic algorithm and neural network to propose an intelligent feature selection algorithm. Our objective is to provide an advanced solution for controlling manufacturing processes and to gain perspective on various dimensions that enable manufacturers to access effective predictive technologies.

关键词： Artificial intelligence(AI) cyber physical systems feature selection genetic algorithms(GA) industrial internet of things(IIOT) machine learning neural network(NN) smart manufacturing

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