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Special Issue "Networked and Distributed Control Systems"

A special issue of Energies (ISSN 1996-1073).

Deadline for manuscript submissions: 31 March 2018

Special Issue Editors

Guest Editor
Prof. Yang Shi

Department of Mechanical Engineering, University of Victoria, PO Box 1700, Stn. CSC, Victoria, BC, Canada
Website | E-Mail
Interests: networked and distributed control systems; MPC and distributed MPC; distributed optimization; multirate control, identification, and information processing; mechatronics; industrial cyber-physical systems; optimization and controls for energy-efficient applications; navigation and control of autonomous vehicles
Guest Editor
Prof. Fang Fang

School of Control and Computer Engineering, North China Electric Power University, Beinong Road No.2, Changping District, Beijing, China
Website | E-Mail
Interests: distributed process control systems; modeling and control of distributed generation systems; optimal configuration and operation of combined cooling, heat, and power systems; energy management of smart buildings; load and power forecasting of community energy systems; industrial applications of advanced control strategies
Guest Editor
Assoc. Prof. Li Qiu

College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, China
E-Mail
Interests: networked control systems; linear motion control system; distributed control systems; time-delay systems; robust control; Markovian jump linear systems

Special Issue Information

Dear Colleagues,

With the rapid advancement of computing and networking technologies, traditional control systems face the challenge of more complicated and large-size systems. In order to achieve stabilization, optimization and consensus objective, networked distributed control systems (NDCS) are expected to be further investigated theoretically and in applications. NDCS can be applied to unmanned aerial vehicles; space-based interferometers; remote surgery; surveillance; combat, and reconnaissance systems; hazardous material handling; distributed reconfigurable sensor networks; automated highway systems; haptic collaboration over the internet and biology and animal behavior, etc. Yet, since NDCS inherently possess features such as network-induced constraints, cyber security issues, large-scale size, distributed manner, etc., it becomes more challenging for control engineers to design such systems to ensure stability, satisfy the pre-scribed performance specifications and overcome various disturbances, and so on.

The Special Issue is dedicated to reflecting the latest progress and key technologies in NDCS, focusing on their modeling, analysis, control, simulation, experimentation and applications, etc.

The topics of interests include, but are not limited to:

  • Modeling and stability analysis of NDCS
  • Reliability, security and risk analysis of NDCS
  • Control methods and strategies of NDCS
  • Testbed, simulation and verification models and methods for NDCS
  • System architecture of NDCS
  • Industrial application of NDCS

Prof. Yang Shi
Prof. Fang Fang
Assoc. Prof. Li Qiu
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 papers will be 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. Energies 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 1500 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

modeling and stability analysis of NDCS; reliability, security and risk analysis of NDCS; control methods and strategies of NDCS; distributed generations and energy management; testbed, simulation and verification models and methods for NDCS; system architecture of NDCS; Industrial application of NDCS

Published Papers (6 papers)

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Research

Open AccessArticle Global Feedback Control for Coordinated Linear Switched Reluctance Machines Network with Full-State Observation and Internal Model Compensation
Energies 2017, 10(12), 2019; doi:10.3390/en10122019
Received: 12 October 2017 / Revised: 15 November 2017 / Accepted: 27 November 2017 / Published: 2 December 2017
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Abstract
This paper discusses the tracking coordination of a linear switched reluctance machine (LSRM) network based on a global feedback control strategy with a full-state observation framework. The observer is allocated on the follower instead of the leader to form a leader–follower–observer network, by
[...] Read more.
This paper discusses the tracking coordination of a linear switched reluctance machine (LSRM) network based on a global feedback control strategy with a full-state observation framework. The observer is allocated on the follower instead of the leader to form a leader–follower–observer network, by utilizing the leader as the global feedback tracking controller and the observer as the observation of the full states. The internal model compensator (IMC) is applied to the leader for the improvement of the network performance. The full-state information of the LSRM network is reconfigured by the output of the LSRM where the observer is located to provide necessary feedback information to the leader. Then, the controllability and observability of the leader–follower–observer network with the IMC are inspected, serving as a basis for the design of the global controller with the IMC and full-state observer. Experimentation verifies the effectiveness of the proposed network control scheme and the results demonstrate that both the absolute and the relative accuracy can be simultaneously improved, compared to the LSRM network with only the consensus algorithm and no global feedback mechanism. Full article
(This article belongs to the Special Issue Networked and Distributed Control Systems)
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Open AccessArticle Neural Adaptive Sliding-Mode Control of a Vehicle Platoon Using Output Feedback
Energies 2017, 10(11), 1906; doi:10.3390/en10111906
Received: 31 October 2017 / Revised: 12 November 2017 / Accepted: 15 November 2017 / Published: 20 November 2017
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Abstract
This paper investigates the output feedback control problem of a vehicle platoon with a constant time headway (CTH) policy, where each vehicle can communicate with its consecutive vehicles. Firstly, based on the integrated-sliding-mode (ISM) technique, a neural adaptive sliding-mode control algorithm is developed
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This paper investigates the output feedback control problem of a vehicle platoon with a constant time headway (CTH) policy, where each vehicle can communicate with its consecutive vehicles. Firstly, based on the integrated-sliding-mode (ISM) technique, a neural adaptive sliding-mode control algorithm is developed to ensure that the vehicle platoon is moving with the CTH policy and full state measurement. Then, to further decrease the measurement complexity and reduce the communication load, an output feedback control protocol is proposed with only position information, in which a higher order sliding-mode observer is designed to estimate the other required information (velocities and accelerations). In order to avoid collisions among the vehicles, the string stability of the whole vehicle platoon is proven through the stability theorem. Finally, numerical simulation results are provided to verify its effectiveness and advantages over the traditional sliding-mode control method in vehicle platoons. Full article
(This article belongs to the Special Issue Networked and Distributed Control Systems)
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Open AccessArticle Controllability and Leader-Based Feedback for Tracking the Synchronization of a Linear-Switched Reluctance Machine Network
Energies 2017, 10(11), 1728; doi:10.3390/en10111728
Received: 28 September 2017 / Revised: 14 October 2017 / Accepted: 24 October 2017 / Published: 27 October 2017
Cited by 1 | PDF Full-text (2498 KB) | HTML Full-text | XML Full-text
Abstract
This paper investigates the controllability of a closed-loop tracking synchronization network based on multiple linear-switched reluctance machines (LSRMs). The LSRM network is constructed from a global closed-loop manner, and the closed loop only replies to the input and output information from the leader
[...] Read more.
This paper investigates the controllability of a closed-loop tracking synchronization network based on multiple linear-switched reluctance machines (LSRMs). The LSRM network is constructed from a global closed-loop manner, and the closed loop only replies to the input and output information from the leader node. Then, each local LSRM node is modeled as a general second-order system, and the model parameters are derived by the online system identification method based on the least square method. Next, to guarantee the LSRM network’s controllability condition, a theorem is deduced that clarifies the relationship among the LSRM network’s controllability, the graph controllability of the network and the controllability of the node dynamics. A state feedback control strategy with the state observer located on the leader is then proposed to improve the tracking performance of the LSRM network. Last, both the simulation and experiment results prove the effectiveness of the network controller design scheme and the results also verify that the leader-based global feedback strategy not only improves the tracking performance but also enhances the synchronization accuracy of the LSRM network experimentally. Full article
(This article belongs to the Special Issue Networked and Distributed Control Systems)
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Open AccessArticle A Novel Algorithm for Establishing a Balanced Synchronization Hierarchy with Spare Masters (BSHSM) for the IEEE 1588 Precision Time Protocol
Energies 2017, 10(10), 1469; doi:10.3390/en10101469
Received: 22 June 2017 / Revised: 5 September 2017 / Accepted: 20 September 2017 / Published: 22 September 2017
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Abstract
The best master clock (BMC) algorithm is currently used to establish the master-slave hierarchy for the IEEE 1588 Precision Time Protocol (PTP). However, the BMC algorithm may create an unbalanced hierarchy that contains several boundary clocks with a large number of slaves in
[...] Read more.
The best master clock (BMC) algorithm is currently used to establish the master-slave hierarchy for the IEEE 1588 Precision Time Protocol (PTP). However, the BMC algorithm may create an unbalanced hierarchy that contains several boundary clocks with a large number of slaves in comparison to other clocks. The unbalanced hierarchy can cause problems, such as high communication load and high bandwidth consumption in boundary clocks. Additionally, the BMC algorithm does not provide any fast recovery mechanism in the case of a master failure. In this paper, we propose a novel balanced synchronization hierarchy with spare masters (BSHSM) algorithm to establish a balanced master-slave hierarchy and to provide a fast recovery mechanism in the case of master failures for the PTP. The BSHSM algorithm establishes the master-slave hierarchy with boundary clocks that have a balanced number of slaves. In doing so, it solves the problems caused by the unbalanced master-slave hierarchy. Additionally, the BSHSM algorithm provides a fast recovery mechanism by selecting a spare master for each boundary clock; this allows a boundary clock to immediately select a new master clock when its current master has failed or is disconnected. The fast recovery mechanism reduces the period of running freely and clock drift in clocks, improving the synchronization quality of the PTP. Various simulations were conducted using the network simulation OMNeT++ v4.6 to analyze, evaluate, and compare the performance of the BSHSM and BMC algorithms. The simulation results show that the synchronization hierarchy of the BSHSM algorithm is much more balanced than the BMC algorithm, and it also has a shorter period of recovery. Full article
(This article belongs to the Special Issue Networked and Distributed Control Systems)
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Open AccessArticle Hierarchical Distributed Motion Control for Multiple Linear Switched Reluctance Machines
Energies 2017, 10(9), 1426; doi:10.3390/en10091426
Received: 14 June 2017 / Revised: 5 July 2017 / Accepted: 25 August 2017 / Published: 16 September 2017
Cited by 1 | PDF Full-text (2202 KB) | HTML Full-text | XML Full-text
Abstract
This paper investigates a distributed, coordinated motion control network based on multiple direct-drive, linear switched reluctance machines (LSRMs). A hierarchical, two-level synchronization control strategy is proposed for the four LSRMs based motion control network. The high-level, reference signals agreement algorithm is first employed
[...] Read more.
This paper investigates a distributed, coordinated motion control network based on multiple direct-drive, linear switched reluctance machines (LSRMs). A hierarchical, two-level synchronization control strategy is proposed for the four LSRMs based motion control network. The high-level, reference signals agreement algorithm is first employed to correct the asynchronous behaviors of the position commands. Then, the low-level tracking synchronization method is applied for the collaborative position control of the four LSRMs. The proposed two-level, fault-tolerant control strategy eliminates the asynchrony of the reference signals and it also guarantees the coordinated tracking control performance of the four LSRMs. Experimental results demonstrate that effective coordinated tracking control can be ensured, based on the successful agreement of reference signals and an absolute tracking error falling within 2 mm can be achieved. Full article
(This article belongs to the Special Issue Networked and Distributed Control Systems)
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Open AccessArticle Tracking Control with Zero Phase-Difference for Linear Switched Reluctance Machines Network
Energies 2017, 10(7), 949; doi:10.3390/en10070949
Received: 26 April 2017 / Revised: 16 June 2017 / Accepted: 4 July 2017 / Published: 8 July 2017
PDF Full-text (1241 KB) | HTML Full-text | XML Full-text
Abstract
This paper discusses the control of the linear switched reluctance machines (LSRMs) network for the zero phase-difference tracking to a sinusoidal reference. The dynamics of each LSRM is derived by online system identification and modeled as a second-order linear system. Accordingly, based on
[...] Read more.
This paper discusses the control of the linear switched reluctance machines (LSRMs) network for the zero phase-difference tracking to a sinusoidal reference. The dynamics of each LSRM is derived by online system identification and modeled as a second-order linear system. Accordingly, based on the coupled harmonic oscillators synchronization manner, a distributed control strategy is proposed to synchronize each LSRM state to a virtual LSRM node representing the external sinusoidal reference for tracking it with zero phase-difference. Subsequently, a simulation scenario and an experimental platform with the identical parameter setup are designed to investigate the tracking performance of the LSRMs network constructed by the proposed distributed control strategy. Finally, the simulation and experimental results verify the effectiveness of the proposed LSRMs network controller, and also prove that the coupled harmonic oscillators synchronization method can improve the synchronization tracking performance and precision. Full article
(This article belongs to the Special Issue Networked and Distributed Control Systems)
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