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Editorial New Advances in Distributed Control of Large-Scale Systems Dan Zhang, 1 Wen-An Zhang, 1 Zheng-Guang Wu, 2 Kun Liu, 3 Hui Zhang, 4 and Yun-Bo Zhao 1 1 Department of Automation, Zhejiang University of Technology, Hangzhou, China 2 e National Laboratory of Industrial Control Technology, Institute of Cyber Systems and Control, Zhejiang University, Hangzhou, China 3 ACCESS Linnaeus Centre and School of Electrical Engineering, KTH Royal Institute of Technology, Stockholm, Sweden 4 e Merchant Marine College, Shanghai Maritime University, Shanghai, China Correspondence should be addressed to Dan Zhang; [email protected] Received 30 August 2015; Accepted 31 August 2015 Copyright © 2015 Dan Zhang et al. is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. With the rapid development of the modern industry, the scale of process system of industry becomes more huge, the system functions are more complex, and the geographical distribution of system tends to be more distributed. Repre- sentative systems are chemical industrial network, robotic systems, smart grids, sensor networks, and so on [13]. e rapid development of industry system inevitably imposes much diculty on the control system design. Traditional control system design theory cannot be applied to these large-scale systems. e distributed control system integrates control, computation, communication technology, and so forth and adapts to the developing trend of industrial control system. However, insertion of communication networks into the control systems comes at the price of nonideal signal transmission: the data sent through the networks experience time delay or suer transmission data losses [4]. So far, research attention has been paid to this area; see [59] and the references therein. In this issue, some research works on large-scale systems and the related topics are reported. We are proud to notice that these limited numbers of research works have shown a great variety and in a sense give a fairly complete picture of the state-of-the-art research on large-scale systems. In addition, a brief tutorial on large-scale systems from the Editorial Board is also included in this special issue. (1) eoretical studies on the large-scale multiagent sys- tems are reported here. For example, J. Gao et al. discussed the consensus of multiagent systems, Y. Zhang et al. studied the two-dimension rst-order multiagent systems, R. Wang et al. discussed the modeling and control of highly exible solar-powered UAVs, and M. Huo et al. focus on the fault reconstruction approach for distributed coordinated space- craattitude control system. (2) eoretical analysis on the time-delay, packet drop- outs in the large-scale networked systems are reported. For example, D.-M. Dai discussed the fault detection for net- worked systems based on the reduced-order lter, X. Lu et al. studied the x-point smoothing for descriptor systems with multiplicative noise and single delayed observations, W. Yan- feng et al. considered the fault-tolerant control for networked control systems with limited information in case of actuator fault, S. Zhang et al. focus on the stabilization of networked distributed systems with partial and event-based couplings, and Z. Hu and Z. Xu give some solution on the distributed detection over a noisy multiaccess channel. (3) Other results on the large-scale systems, such as microgrids, electric vehicle hydroturbine, and neural net- works, are also discussed. Interested readers are referred to the detailed papers reported in this issue. We hope this special issue will be a useful reference for people working on this area, and more fruitful results will be obtained in the time ahead based on the published works. Hindawi Publishing Corporation Mathematical Problems in Engineering Volume 2015, Article ID 102469, 2 pages http://dx.doi.org/10.1155/2015/102469

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Page 1: New Advances in Distributed Control of Large-Scale Systems Advances in... · 2020-06-05 · Editorial New Advances in Distributed Control of Large-Scale Systems DanZhang,1 Wen-AnZhang,1

EditorialNew Advances in Distributed Control of Large-Scale Systems

Dan Zhang,1 Wen-An Zhang,1 Zheng-Guang Wu,2 Kun Liu,3

Hui Zhang,4 and Yun-Bo Zhao1

1Department of Automation, Zhejiang University of Technology, Hangzhou, China2The National Laboratory of Industrial Control Technology, Institute of Cyber Systems and Control, Zhejiang University,Hangzhou, China3ACCESS Linnaeus Centre and School of Electrical Engineering, KTH Royal Institute of Technology, Stockholm, Sweden4The Merchant Marine College, Shanghai Maritime University, Shanghai, China

Correspondence should be addressed to Dan Zhang; [email protected]

Received 30 August 2015; Accepted 31 August 2015

Copyright © 2015 Dan Zhang et al. This is an open access article distributed under the Creative Commons Attribution License,which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

With the rapid development of the modern industry, thescale of process system of industry becomes more huge, thesystem functions are more complex, and the geographicaldistribution of system tends to be more distributed. Repre-sentative systems are chemical industrial network, roboticsystems, smart grids, sensor networks, and so on [1–3]. Therapid development of industry system inevitably imposesmuch difficulty on the control system design. Traditionalcontrol system design theory cannot be applied to theselarge-scale systems.The distributed control system integratescontrol, computation, communication technology, and soforth and adapts to the developing trend of industrial controlsystem. However, insertion of communication networks intothe control systems comes at the price of nonideal signaltransmission: the data sent through the networks experiencetime delay or suffer transmission data losses [4]. So far,research attention has been paid to this area; see [5–9] andthe references therein.

In this issue, some research works on large-scale systemsand the related topics are reported. We are proud to noticethat these limited numbers of research works have shown agreat variety and in a sense give a fairly complete picture of thestate-of-the-art research on large-scale systems. In addition, abrief tutorial on large-scale systems from the Editorial Boardis also included in this special issue.

(1) Theoretical studies on the large-scale multiagent sys-tems are reported here. For example, J. Gao et al. discussed

the consensus of multiagent systems, Y. Zhang et al. studiedthe two-dimension first-order multiagent systems, R. Wanget al. discussed the modeling and control of highly flexiblesolar-powered UAVs, and M. Huo et al. focus on the faultreconstruction approach for distributed coordinated space-craft attitude control system.

(2) Theoretical analysis on the time-delay, packet drop-outs in the large-scale networked systems are reported. Forexample, D.-M. Dai discussed the fault detection for net-worked systems based on the reduced-order filter, X. Lu et al.studied the fix-point smoothing for descriptor systems withmultiplicative noise and single delayed observations, W. Yan-feng et al. considered the fault-tolerant control for networkedcontrol systems with limited information in case of actuatorfault, S. Zhang et al. focus on the stabilization of networkeddistributed systems with partial and event-based couplings,and Z. Hu and Z. Xu give some solution on the distributeddetection over a noisy multiaccess channel.

(3) Other results on the large-scale systems, such asmicrogrids, electric vehicle hydroturbine, and neural net-works, are also discussed. Interested readers are referred tothe detailed papers reported in this issue.

We hope this special issue will be a useful referencefor people working on this area, and more fruitful resultswill be obtained in the time ahead based on the publishedworks.

Hindawi Publishing Corporation

Mathematical Problems in Engineering

Volume 2015, Article ID 102469, 2 pages

http://dx.doi.org/10.1155/2015/102469

Page 2: New Advances in Distributed Control of Large-Scale Systems Advances in... · 2020-06-05 · Editorial New Advances in Distributed Control of Large-Scale Systems DanZhang,1 Wen-AnZhang,1

2 Mathematical Problems in Engineering

Acknowledgment

We appreciate all the researchers for their valuable work onthe large-scale systems.

Dan ZhangWen-An Zhang

Zheng-Guang WuKun Liu

Hui ZhangYun-Bo Zhao

References

[1] J. B. Rawlings and B. T. Stewart, “Coordinating multipleoptimization-based controllers: new opportunities and chal-lenges,” Journal of Process Control, vol. 18, no. 9, pp. 839–845,2008.

[2] Y. Zheng, S. Li, andN. Li, “Distributedmodel predictive controlover network information exchange for large-scale systems,”Control Engineering Practice, vol. 19, no. 7, pp. 757–769, 2011.

[3] V. Sundarapandian, “Distributed control schemes for large-scale interconnected discrete-time linear systems,” Mathemat-ical and Computer Modelling, vol. 41, no. 2-3, pp. 313–319, 2005.

[4] L. Zhang, H. Gao, and O. Kaynak, “Network-induced con-straints in networked control systems—a survey,” IEEE Trans-actions on Industrial Informatics, vol. 9, no. 1, pp. 403–416, 2013.

[5] S. C. Xu and J. Bao, “Distributed control of plant-wide chemicalprocesses with uncertain time-delays,” Chemical EngineeringScience, vol. 84, pp. 512–532, 2012.

[6] F. Kazempour and J. Ghaisari, “Stability analysis of model-based networked distributed control systems,” Journal of ProcessControl, vol. 23, no. 3, pp. 444–452, 2013.

[7] M. Pajic, S. Sundaram, G. J. Pappas, and R. Mangharam,“The wireless control network: a new approach for controlover networks,” Institute of Electrical and Electronics Engineers.Transactions on Automatic Control, vol. 56, no. 10, pp. 2305–2318, 2011.

[8] P. Millan, L. Orihuela, C. Vivas, F. R. Rubio, D. V. Dimarogonas,andK.H. Johansson, “Sensor-network-based robust distributedcontrol and estimation,”Control Engineering Practice, vol. 21, no.9, pp. 1238–1249, 2013.

[9] D. Zhang, R. Y. Ling, Q.-G. Wang, L. Yu, and Y. Feng, “Sensor-network-based distributed stabilization of nonlinear large-scalesystems with energy constraints and random sensor faults,”Journal of the Franklin Institute, vol. 352, no. 8, pp. 3345–3365,2015.

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1. New Advances in Distributed Control of Large-Scale SystemsAccession number: 20154401468793Authors: Zhang, Dan (1); Zhang, Wen-An (1); Wu, Zheng-Guang (2); Liu, Kun (3); Zhang, Hui (4); Zhao, Yun-Bo (1)Author affiliation: (1) Department of Automation, Zhejiang University of Technology, Hangzhou, China; (2) NationalLaboratory of Industrial Control Technology, Institute of Cyber Systems and Control, Zhejiang University, Hangzhou,China; (3) ACCESS Linnaeus Centre, School of Electrical Engineering, Royal Institute of Technology, Stockholm,Sweden; (4) Merchant Marine College, Shanghai Maritime University, Shanghai, ChinaCorresponding author: Zhang, DanSource title: Mathematical Problems in EngineeringAbbreviated source title: Math. Probl. Eng.Volume: 2015Issue date: 2015Publication year: 2015Article number: 102469Language: EnglishISSN: 1024123XE-ISSN: 15635147Document type: Journal article (JA)Publisher: Hindawi Publishing Corporation, 410 Park Avenue, 15th Floor, 287 pmb, New York, NY 10022, UnitedStatesNumber of references: 9DOI: 10.1155/2015/102469Compendex references: YESDatabase: CompendexCompilation and indexing terms, Copyright 2016 Elsevier Inc.Data Provider: Engineering Village

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Record 1 of 1Title: New Advances in Distributed Control of Large-Scale SystemsAuthor(s): Zhang, D (Zhang, Dan); Zhang, WA (Zhang, Wen-An); Wu, ZG (Wu, Zheng-Guang); Liu, K (Liu, Kun); Zhang, H (Zhang, Hui); Zhao, YB (Zhao, Yun-Bo)Source: MATHEMATICAL PROBLEMS IN ENGINEERING Article Number: 102469 DOI: 10.1155/2015/102469 Published: 2015 Times Cited in Web of Science Core Collection: 0Total Times Cited: 0Usage Count (Last 180 days): 1Usage Count (Since 2013): 6Cited Reference Count: 9Accession Number: WOS:000363165100001Language: EnglishDocument Type: Editorial MaterialKeyWords Plus: CONSTRAINTSAddresses: [Zhang, Dan; Zhang, Wen-An; Zhao, Yun-Bo] Zhejiang Univ Technol, Dept Automat, Hangzhou, Zhejiang, Peoples R China. [Wu, Zheng-Guang] Zhejiang Univ, Inst Cyber Syst & Control, Natl Lab Ind Control Technol, Hangzhou 310003, Zhejiang, Peoples R China. [Liu, Kun] KTH Royal Inst Technol, ACCESS Linnaeus Ctr, Stockholm, Sweden. [Liu, Kun] KTH Royal Inst Technol, Sch Elect Engn, Stockholm, Sweden. [Zhang, Hui] Shanghai Maritime Univ, Merchant Marine Coll, Shanghai, Peoples R China.Reprint Address: Zhang, D (reprint author), Zhejiang Univ Technol, Dept Automat, Hangzhou, Zhejiang, Peoples R China.E-mail Addresses: [email protected] Identifiers:

Author ResearcherID Number ORCID Number

Zhao, Yun-Bo F-1699-2010 Publisher: HINDAWI PUBLISHING CORPPublisher Address: 410 PARK AVENUE, 15TH FLOOR, #287 PMB, NEW YORK, NY 10022 USAWeb of Science Categories: Engineering, Multidisciplinary; Mathematics, Interdisciplinary ApplicationsResearch Areas: Engineering; MathematicsIDS Number: CT9VQISSN: 1024-123XeISSN: 1563-514729-char Source Abbrev.: MATH PROBL ENGISO Source Abbrev.: Math. Probl. Eng.Source Item Page Count: 2

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