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Information
Special Issues
Smart Sensing, Information Security and Control of Industrial Cyber-Physical Systems
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Smart Sensing, Information Security and Control of Industrial Cyber-Physical Systems

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Applications".

Deadline for manuscript submissions: closed (31 August 2017)

Special Issue Editors

Prof. Dr. Jiangtao Cao

E-Mail Website
Guest Editor
School of Information and Control Engineering, Liaoning Shihua University, China
Interests: intelligent control; wireless sensor networks; pattern recognition; information security
Prof. Dr. Shuanghua Yang

E-Mail Website
Guest Editor
Computer Science Department, Loughborough University, UK
Interests: wireless sensor networks; wireless communication; internet-based control; internet of things; mobile target tracking; energy harvesting; home automation; cyber-physical system
Prof. Dr. Lili Yang

E-Mail Website
Guest Editor
Department of Mathematics, Southern University of Science and Technology, China; School of Business & Economics, Loughborough University, UK
Interests: business analysis; information systems; emergency management
Prof. Dr. Chunjie Zhou

E-Mail Website
Guest Editor
School of Automation, Huazhong University of Science and Technology, China
Interests: industrial Internet and intelligent systems; pattern recognition

Special Issue Information

Dear Colleagues,

Cyber-physical systems (CPS) are physical and engineered systems of which operations are monitored, coordinated, controlled, and integrated by such computing and communication. Broad deployment of cyber-physical systems is transforming how we interact with the physical world as profoundly as the World-Wide Web transformed how we interact with one another. When the physical systems are limited to industrial processes, the CPS become industrial CPS (ICPS). A typical hierarchy of ICPS starts at the bottom with an industrial process, then sensing networks, communication networks, and ends with applications at the top layer. Among the relevant research areas are security, control, optimization, machine learning, game theory, mechanism design, mobile and cloud computing, model-based design, verification, data mining and analytics, signal processing, and human-in-the-loop shared or supervisory control.

This Special Issue aims to present the latest developments in the sensing, security, control and emergency response of industrial CPS, especially achievements in the real applications. We wish to clearly identify the key challenges of engineering design to industrial CPS, to explore the degree to which core elements of theory contribution to CPS, and to anticipate the future innovation in putting the sensing, security and control systems together. We invite investigators in the field to contribute with their recent work around CPS research and applications. Any review papers are also welcome.

Topics of interest include, but are not limited to:

  • Wireless sensor network

- Wireless sensor networks
- Smart sensing
- In-network data query and aggregation

  • CPS control and security

- Intrusion detection
- Risk analysis and management
- Monitoring and real time control
- Safety-security interactions
- Cyber security engineering

  • Incident Response of ICPS

- Incident Response
- Accountability

  • Case Studies

- Case studies in the energy, utility, chemical, transportation, manufacturing, and other industrial and critical infrastructure sectors.

Prof. Jiangtao Cao
Prof. Shuanghua Yang
Prof. Lili Yang
Prof. Chunjie Zhou
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Industrial CPS
  • Cyber-security
  • Wireless sensor networks
  • Process control
  • Intelligent video analysis

Published Papers (5 papers)

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1191 KiB  
Article
Uncertain Production Scheduling Based on Fuzzy Theory Considering Utility and Production Rate
by Yue Wang, Xin Jin, Lei Xie, Yanhui Zhang and Shan Lu
Information 2017, 8(4), 158; https://doi.org/10.3390/info8040158 - 18 Dec 2017
Cited by 1 | Viewed by 3555
Abstract
Handling uncertainty in an appropriate manner during the real operation of a cyber-physical system (CPS) is critical. Uncertain production scheduling as a part of CPS uncertainty issues should attract more attention. In this paper, a Mixed Integer Nonlinear Programming (MINLP) uncertain model for [...] Read more.
Handling uncertainty in an appropriate manner during the real operation of a cyber-physical system (CPS) is critical. Uncertain production scheduling as a part of CPS uncertainty issues should attract more attention. In this paper, a Mixed Integer Nonlinear Programming (MINLP) uncertain model for batch process is formulated based on a unit-specific event-based continuous-time modeling method. Utility uncertainty and uncertain relationship between production rate and utility supply are described by fuzzy theory. The uncertain scheduling model is converted into deterministic model by mathematical method. Through one numerical example, the accuracy and practicability of the proposed model is proved. Fuzzy scheduling model can supply valuable decision options for enterprise managers to make decision more accurate and practical. The impact and selection of some key parameters of fuzzy scheduling model are elaborated. Full article
(This article belongs to the Special Issue Smart Sensing, Information Security and Control of Industrial Cyber-Physical Systems)
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2384 KiB  
Article
Offset Free Tracking Predictive Control Based on Dynamic PLS Framework
by Jin Xin, Wang Yue and Luo Lin
Information 2017, 8(4), 121; https://doi.org/10.3390/info8040121 - 10 Oct 2017
Cited by 2 | Viewed by 3807
Abstract
This paper develops an offset free tracking model predictive control based on a dynamic partial least square (PLS) framework. First, state space model is used as the inner model of PLS to describe the dynamic system, where subspace identification method is used to [...] Read more.
This paper develops an offset free tracking model predictive control based on a dynamic partial least square (PLS) framework. First, state space model is used as the inner model of PLS to describe the dynamic system, where subspace identification method is used to identify the inner model. Based on the obtained model, multiple independent model predictive control (MPC) controllers are designed. Due to the decoupling character of PLS, these controllers are running separately, which is suitable for distributed control framework. In addition, the increment of inner model output is considered in the cost function of MPC, which involves integral action in the controller. Hence, the offset free tracking performance is guaranteed. The results of an industry background simulation demonstrate the effectiveness of proposed method. Full article
(This article belongs to the Special Issue Smart Sensing, Information Security and Control of Industrial Cyber-Physical Systems)
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4039 KiB  
Article
Interval Type-2 Fuzzy Model Based on Inverse Controller Design for the Outlet Temperature Control System of Ethylene Cracking Furnace
by Taoyan Zhao, Ping Li, Jiangtao Cao and Tian Li
Information 2017, 8(4), 116; https://doi.org/10.3390/info8040116 - 22 Sep 2017
Cited by 4 | Viewed by 4314
Abstract
Multivariable coupling, nonlinear and large time delays exist in the coil outlet temperature (COT) control system of the ethylene cracking furnace, which make it hard to achieve accurate control over the COT of the furnace in actual production. To solve these problems, an [...] Read more.
Multivariable coupling, nonlinear and large time delays exist in the coil outlet temperature (COT) control system of the ethylene cracking furnace, which make it hard to achieve accurate control over the COT of the furnace in actual production. To solve these problems, an inverse controller based on an interval type-2 fuzzy model control strategy is introduced. In this paper, the proposed control scheme is divided into two parts: one is the approach structure part of the interval type-2 fuzzy model (IT2-FM), which is utilized to approach the process output. The other is the interval type-2 fuzzy model inverse controller (IT2-FMIC) part, which is utilized to control the output process to achieve the target value. In addition, on the cyber-physical system platform, the actual industrial data are used to test and obtain the mathematical model of the COT control system of the ethylene cracking furnace. Finally, the proposed inverse controller based on the IT2-FM control scheme has been implemented on the COT control system of the ethylene cracking furnace, and the simulation results show that the proposed method is feasible. Full article
(This article belongs to the Special Issue Smart Sensing, Information Security and Control of Industrial Cyber-Physical Systems)
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2439 KiB  
Article
Leak Location of Pipeline with Multibranch Based on a Cyber-Physical System
by Xianming Lang, Ping Li, Yan Li and Hong Ren
Information 2017, 8(4), 113; https://doi.org/10.3390/info8040113 - 22 Sep 2017
Cited by 10 | Viewed by 4616
Abstract
Data cannot be shared and leakage cannot be located simultaneously among multiple pipeline leak detection systems. Based on cyber-physical system (CPS) architecture, the method for locating leakage for pipelines with multibranch is proposed. The singular point of pressure signals at the ends of [...] Read more.
Data cannot be shared and leakage cannot be located simultaneously among multiple pipeline leak detection systems. Based on cyber-physical system (CPS) architecture, the method for locating leakage for pipelines with multibranch is proposed. The singular point of pressure signals at the ends of pipeline with multibranch is analyzed by wavelet packet analysis, so that the time feature samples could be established. Then, the Fischer-Burmeister function is introduced into the learning process of the twin support vector machine (TWSVM) in order to avoid the matrix inversion calculation, and the samples are input into the improved twin support vector machine (ITWSVM) to distinguish the pipeline leak location. The simulation results show that the proposed method is more effective than the back propagation (BP) neural networks, the radial basis function (RBF) neural networks, and the Lagrange twin support vector machine. Full article
(This article belongs to the Special Issue Smart Sensing, Information Security and Control of Industrial Cyber-Physical Systems)
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311 KiB  
Article
Stabilization of Discrete-Time Markovian Jump Systems by a Partially Mode-Unmatched Fault-Tolerant Controller
by Mo Liu and Guoliang Wang
Information 2017, 8(3), 90; https://doi.org/10.3390/info8030090 - 25 Jul 2017
Viewed by 4530
Abstract
In this paper, a kind of fault-tolerant controller is proposed to study the stabilization problem of discrete-time Markovian jump systems, whose operation modes are not only partially-available but also unmatched. Here, such general properties of controller are modeled to be a controller having [...] Read more.
In this paper, a kind of fault-tolerant controller is proposed to study the stabilization problem of discrete-time Markovian jump systems, whose operation modes are not only partially-available but also unmatched. Here, such general properties of controller are modeled to be a controller having polytopic forms and uncertainties simultaneously. Based on the proposed model, concise conditions for the existence of such a controller are proposed with linear matrix inequality (LMI) forms, which are extended to consider observer design problem too. Compared with the traditional methods, not only is the designed controller more general but also the established results are fault free and could be solved directly. Finally, numerical examples are used to demonstrate the effectiveness of the proposed methods. Full article
(This article belongs to the Special Issue Smart Sensing, Information Security and Control of Industrial Cyber-Physical Systems)
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