Networked Control Systems: Trends and Technique

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Systems & Control Engineering".

Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 6695

Special Issue Editors


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Guest Editor
College of Information Engineering, Nanjing University of Finance and Economics, Nanjing 210023, China
Interests: networked control systems; complex dynamical networks; time-delay systems
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Guest Editor
Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
Interests: security control; networked control systems; intelligent computing

E-Mail Website
Guest Editor
College of Information Engineering, Nanjing University of Finance and Economics, Nanjing 210023, China
Interests: analysis and design for networked control systems; bandwidth allocation

Special Issue Information

Dear Colleagues,

Over the past few decades, networked control systems (NCSs) have been widely studied in various areas, such as intelligent transportation, power grids, and digital communication. The prevalence of NCSs gives rise to new trends in system modeling, architecture design, system performance improvement, and analysis, etc. Moreover, emerging technologies such as machine learning, software-defined networking, and intelligent computing will inspire new solutions to various research problems in NCSs. This Special Issue is devoted to the publication of original works related to new trends and techniques in NCSs. All papers with the theme of demonstrating innovative ideas and technologies to solve various unsolved problems and challenges in NCSs are welcomed. We invite researchers and experts around the world to submit high-quality original research papers on potential topics that include, but are not limited to, the following potential themes:

  1. Novel and effective methods on stability analysis and performance evaluation for NCSs;
  2. Designs about data transmission strategy under limited communication resources;
  3. Analysis of optimal control problem for NCSs with deep learning and reinforcement learning;
  4. Stability analysis and security control with dynamic network topology for multi-agent systems;
  5. Research studies on security control issues about data transmission in network channel;
  6. Strategies on traffic arrangement and effective usage for communication network;
  7. Algorithms on security control analysis based on game theory and machine learning;
  8. Research and application of intelligent computing technology and big data;
  9. Analysis of decision optimization problems in complex processes;
  10. Studies of complex industrial process and applications of relative methods;
  11. Stability analysis of data-driven modeling, control, and optimization;
  12. Research and application of dual-encoder architecture with generative adversarial networks.

Prof. Dr. Jinliang Liu
Dr. Xiangpeng Xie
Dr. Yan Li
Guest Editors

Manuscript Submission Information

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Keywords

  • networked control systems
  • stability control
  • state estimation
  • cyber security
  • optimal control
  • generative adversarial network
  • machine learning

Published Papers (4 papers)

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Research

21 pages, 6028 KiB  
Article
Reactive Voltage Control Strategy for PMSG-Based Wind Farm Considering Reactive Power Adequacy and Terminal Voltage Balance
by Jianfeng Dai, Lei Wan, Ping Chang, Lin Liu and Xia Zhou
Electronics 2022, 11(11), 1766; https://doi.org/10.3390/electronics11111766 - 2 Jun 2022
Cited by 4 | Viewed by 1676
Abstract
To improve the ability of the power system to accommodate high penetration wind power, wind turbines (WTs) need to realize the mode transformation from grid-following to grid-forming, thus actively participating in the voltage regulation of the power grid with a high proportion of [...] Read more.
To improve the ability of the power system to accommodate high penetration wind power, wind turbines (WTs) need to realize the mode transformation from grid-following to grid-forming, thus actively participating in the voltage regulation of the power grid with a high proportion of wind power. In this work, a reactive voltage control strategy for wind farms considering reactive power adequacy and terminal voltage balance is proposed. Firstly, the expression of the maximum reactive power regulation capacity of WT, namely reactive power adequacy, is derived under the complete wind condition based on the mathematical model and operating characteristics of WT, to study the influence of wake effect on reactive power adequacy of a wind farm. Then, the point of common coupling (PCC) voltage and terminal voltage are expressed analytically based on the radiative topology equivalent model of a wind farm, to analyze the influence of electrical distance on active power loss of wind farm. Finally, the calculation method of the adaptive gain coefficient of WT is put forward, which comprehensively considers the input wind speed and the electrical distance, to regulate the PCC voltage and terminal voltage simultaneously. The comprehensive effectiveness of the proposed strategy is demonstrated on a permanent magnet synchronous generator (PMSG)-based wind farm integration simulation model. While supporting the PCC voltage, the proposed strategy maintains the balance of the terminal voltage in the wind farm, thereby improving the friendliness of wind power grid connection. Full article
(This article belongs to the Special Issue Networked Control Systems: Trends and Technique)
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20 pages, 4166 KiB  
Article
Voltage Stability Analysis of a Power System with Wind Power Based on the Thevenin Equivalent Analytical Method
by Xia Zhou, Yishi Liu, Ping Chang, Feng Xue and Tengfei Zhang
Electronics 2022, 11(11), 1758; https://doi.org/10.3390/electronics11111758 - 1 Jun 2022
Cited by 5 | Viewed by 1440
Abstract
The traditional black-box Thevenin equivalent method cannot analyze the influence mechanism of wind power integration on Thevenin equivalent parameters. With the increase in wind power penetration, it will be difficult to accurately assess the voltage stability of power systems with wind power. Therefore, [...] Read more.
The traditional black-box Thevenin equivalent method cannot analyze the influence mechanism of wind power integration on Thevenin equivalent parameters. With the increase in wind power penetration, it will be difficult to accurately assess the voltage stability of power systems with wind power. Therefore, a Thevenin equivalent analytical method is proposed to analyze the voltage stability of a power system with wind power. This method adopts the equivalent model of wind power integration based on the current source model. It establishes the Thevenin equivalent analytical model for power systems with wind power by dividing the node types. Then, the analytical expressions of the Thevenin equivalent parameters are derived based on two equivalent modes to characterize the mechanism of wind power integration on the Thevenin equivalent parameters. In addition, the calculation flow chart of the voltage stability criterion is formulated based on the analytical value of the Thevenin equivalent impedance under different load growth ratios and wind power penetrations. Finally, a case study is conducted on the improved IEEE 39 node system with wind power. The results demonstrate the feasibility and effectiveness of the proposed Thevenin equivalent analytical method, which can more accurately judge the voltage stability of the power system with wind power. Full article
(This article belongs to the Special Issue Networked Control Systems: Trends and Technique)
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15 pages, 2071 KiB  
Article
CAN-Based Vibration Control for Networked Vehicle Active Suspension with Both Network-Induced Delays and Packet-Dropouts
by Shi-Yuan Han, Tong Liang, Jin Zhou and Yue-Hui Chen
Electronics 2022, 11(5), 708; https://doi.org/10.3390/electronics11050708 - 25 Feb 2022
Cited by 1 | Viewed by 1295
Abstract
Ride comfort and driving safety are highly vulnerable to the undesirable excessive vibrations caused by road surface irregularities and the imperfect in-vehicle network (IVN). The main contribution of this paper consists of proposing a near-optimal vibration control approach for networked vehicle active suspension [...] Read more.
Ride comfort and driving safety are highly vulnerable to the undesirable excessive vibrations caused by road surface irregularities and the imperfect in-vehicle network (IVN). The main contribution of this paper consists of proposing a near-optimal vibration control approach for networked vehicle active suspension under irregular road excitations in a discrete-time domain, in which the uncertain time delay and packet dropout in CAN are taken into consideration. More specially, by virtue of two buffers of the sensor-to-controller network channel and the controller-to-actuator network channel in CAN, by introducing a designed state-transformation-based method, the original vibration control problem under the constraints of the irregular road excitations and imperfect CAN is transformed into a two-point boundary value (TPBV) problem without advanced and delayed items. After that, the near-optimal vibration control approach is presented to isolate the vehicle body from the road excitations and compensate the time delay and packet dropout from CAN synchronously. The stability condition of the networked vehicle active suspension under the proposed vibration controller is obtained based on the Lyapunov function. In numerous scenarios with different road roughnesses and network-induced time delays and packet dropouts, the simulation results illustrate the effectiveness and superiority of the proposed near-optimal vibration controller. Full article
(This article belongs to the Special Issue Networked Control Systems: Trends and Technique)
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11 pages, 1954 KiB  
Article
Rough Set-Game Theory Information Mining Model Considering Opponents’ Information
by Ruixia Yan, Liangui Peng, Yanxi Xie and Xiaoli Wang
Electronics 2022, 11(2), 244; https://doi.org/10.3390/electronics11020244 - 13 Jan 2022
Cited by 1 | Viewed by 1238
Abstract
In multi-strategy games, the increase in the number of strategies makes it difficult to make a solution. To maintain the competition advantage and obtain maximal profits, one side of the game hopes to predict the opponent’s behavior. Building a model to predict an [...] Read more.
In multi-strategy games, the increase in the number of strategies makes it difficult to make a solution. To maintain the competition advantage and obtain maximal profits, one side of the game hopes to predict the opponent’s behavior. Building a model to predict an opponent’s behavior is helpful. In this paper, we propose a rough set-game theory model (RS-GT) considering uncertain information and the opponent’s decision rules. The uncertainty of strategies is obtained based on the rough set method, and an accurate solution is obtained based on game theory from the rough set-game theory model. The players obtain their competitors’ decision rules to predict the opponents’ behavior by mining the information from repeated games in the past. The players determine their strategy to obtain maximum profits by predicting the opponent’s actions, i.e., adopting a first-mover or second-mover strategy to build a favorable situation. The result suggests that the rough set-game theory model helps enterprises avoid unnecessary losses and allows them to obtain greater profits. Full article
(This article belongs to the Special Issue Networked Control Systems: Trends and Technique)
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