Networked Control Technology with Limited Signals

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

Deadline for manuscript submissions: closed (31 July 2020) | Viewed by 8371

Special Issue Editor

Division of Electronic Engineering, Chonbuk National University, Jeonju 54896, Republic of Korea
Interests: networked control; sampled-data; event-triggered; quantization; time-delay; disturbance; packet dropout

Special Issue Information

Dear Colleagues,

The development of communication technology has been connected to various aspects. In control engineering, controllers have tried to connect to plants through communication networks as well, namely networked control. Networked control has recently been becoming an important control strategy because of several advantages, such as flexible architecture, low cost, simple installation, and easy maintenance. On the other hand, networked control could access limited signals due to the limited capacity of the networks. Thus, it encounters undesired factors, such as external disturbance, transmission delay, and packet dropout which may lead to instability, poor performance of the system, and so on. In addition, to manage the limited resource of the networks, sampled-data, event-triggered mechanisms have been widely employed in this research area. These control methods would occupy network resources at only certain instants, not at all times, and as a result, network resources could be efficiently saved.

This Special Issue seeks contributions on topics including but not limited to the following:

  • Network-based estimation, or filtering, or control;
  • Multiagent systems with restricted signals;
  • Event-triggered control of networked control system;
  • Stability analysis or controller design for the sampled-data system;
  • Complex dynamical networks and its applications;
  • Applications of networked control with transmission delay, disturbance, packet dropout, quantization, and so on.

Dr. Tae H. Lee
Guest Editor

Manuscript Submission Information

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Keywords

  • Network-based estimation, or filtering, or control
  • Multiagent systems with restricted signals
  • Event-triggered control of networked control system
  • Stability analysis or controller design for the sampled-data system
  • Complex dynamical networks and its applications
  • Applications of networked control with transmission delay, disturbance, packet dropout, quantization, and so on

Published Papers (4 papers)

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Research

23 pages, 5985 KiB  
Article
Sliding Mode Observer-Based Fault-Tolerant Secondary Control of Microgrids
by Joseph Chang Lun Chan and Tae H. Lee
Electronics 2020, 9(9), 1417; https://doi.org/10.3390/electronics9091417 - 01 Sep 2020
Cited by 19 | Viewed by 1867
Abstract
This paper proposes two sliding mode observer (SMO)-based fault-tolerant secondary control schemes for microgrids. The first scheme consists of a central SMO-based fault tolerant controller that uses outputs from the microgrid and estimates all states in the microgrid as well as the fault. [...] Read more.
This paper proposes two sliding mode observer (SMO)-based fault-tolerant secondary control schemes for microgrids. The first scheme consists of a central SMO-based fault tolerant controller that uses outputs from the microgrid and estimates all states in the microgrid as well as the fault. The estimated fault is then used to reject the effect of faults on the microgrid. The second scheme is decentralised, where each distributed generator (DG) has its own SMO-based fault tolerant controller which would estimate faults affecting that DG alone, and compensate for faults in only that DG. By rejecting the effect of faults in each DG, the effect of faults on the entire microgrid can be negated. Finally, we simulate an example using both schemes, and its results verify the efficacy of the schemes for fault-tolerant secondary control of microgrids. Full article
(This article belongs to the Special Issue Networked Control Technology with Limited Signals)
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16 pages, 1654 KiB  
Article
Adaptive Cluster Synchronization of Complex Networks with Identical and Nonidentical Lur’e Systems
by Yue Gao, Dong Ding and Ze Tang
Electronics 2020, 9(5), 706; https://doi.org/10.3390/electronics9050706 - 25 Apr 2020
Cited by 3 | Viewed by 1896
Abstract
This paper is devoted to investigating the cluster synchronization of a class of nonlinearly coupled Lur’e networks. A novel adaptive pinning control strategy is introduced, which is beneficial to achieve cluster synchronization of the Lur’e systems in the same cluster and weaken the [...] Read more.
This paper is devoted to investigating the cluster synchronization of a class of nonlinearly coupled Lur’e networks. A novel adaptive pinning control strategy is introduced, which is beneficial to achieve cluster synchronization of the Lur’e systems in the same cluster and weaken the directed connections of the Lur’e systems in different clusters. The coupled complex networks consisting of not only identical Lur’e systems but also nonidentical Lur’e systems are discussed, respectively. Based on the S-procedure and the concept of acceptable nonlinear continuous function class, sufficient conditions are obtained which prove that the complex dynamical networks can be pinned to the heterogeneous solutions for any initial values. In addition, effective and comparatively small control strengths are acquired by the designing of the adaptive updating algorithm. Finally, a numerical simulation is presented to illustrate the proposed theorems and the control schemes. Full article
(This article belongs to the Special Issue Networked Control Technology with Limited Signals)
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14 pages, 2645 KiB  
Article
Analytical and Experimental Evaluation of a Novel Mechanism to Improve the Control Plane in Next-Generation Mobile Networks
by Jesús Calle-Cancho, David Cortés-Polo, José-Luis González-Sánchez, Luis Ignacio Jiménez and Javier Carmona-Murillo
Electronics 2020, 9(3), 417; https://doi.org/10.3390/electronics9030417 - 29 Feb 2020
Cited by 2 | Viewed by 1872
Abstract
With the continuous development of mobile communications and the Internet of Things technology, the enhanced network performance can be seen as one of the major challenges in the fourth industrial revolution context, where new services and applications with strict performance requirements have emerged, [...] Read more.
With the continuous development of mobile communications and the Internet of Things technology, the enhanced network performance can be seen as one of the major challenges in the fourth industrial revolution context, where new services and applications with strict performance requirements have emerged, such as driverless vehicles, smart cities, factories, and manufacturing, among others. These new services and applications also drive growth of the data traffic, which is increasing exponentially. Thus, in mobile network environments, industry and academia are proposing new mechanisms to overcome the traffic bottlenecks and reduce the signaling overhead that affects current networks. Centralized Mobility Management solutions are prone to several problems such as the aforementioned signaling overhead or scalability issues. To overcome these limitations, Distributed Mobility Management approaches are being considered. In this paper, an analytical cost model and experimental evaluation will be developed for evaluating the performance of the Distributed Mobility Management implementations. Furthermore, a new approach will be proposed to improve network performance. Full article
(This article belongs to the Special Issue Networked Control Technology with Limited Signals)
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17 pages, 5630 KiB  
Article
Decentralized Voltage Control Strategy of Soft Open Points in Active Distribution Networks Based on Sensitivity Analysis
by Jinli Zhao, Mingkun Yao, Hao Yu, Guanyu Song, Haoran Ji and Peng Li
Electronics 2020, 9(2), 295; https://doi.org/10.3390/electronics9020295 - 08 Feb 2020
Cited by 15 | Viewed by 2434
Abstract
With the increasing penetration of distributed generators, various operational problems, especially severe voltage violation, threaten the secure operation of active distribution networks. To effectively cope with the voltage fluctuations, novel controllable power electronic equipment represented by soft open points has been used in [...] Read more.
With the increasing penetration of distributed generators, various operational problems, especially severe voltage violation, threaten the secure operation of active distribution networks. To effectively cope with the voltage fluctuations, novel controllable power electronic equipment represented by soft open points has been used in active distribution networks. Meanwhile, the communication has dramatically increased due to the rise of the variety and number of devices within the network. This paper proposes a decentralized voltage control method of soft open points based on voltage-to-power sensitivity. The method reduces the burden of communication, storage, and calculation effectively in a decentralized manner and fulfills the rapid requirements of large-scale active distribution networks. First, the network is divided into several sub-areas; each is under the control of one soft open point at most. The initial strategies of soft open points are adjusted by local voltage-to-power sensitivity and the voltage information within the sub-areas. If some nodal voltages still exceed the expected range after the sub-area autonomy, the operation strategies of soft open points are further improved by inter-area coordination with the alternating direction method of multipliers algorithm. The effectiveness of the proposed decentralized control method is verified on the IEEE 33-node system. Full article
(This article belongs to the Special Issue Networked Control Technology with Limited Signals)
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