Editorial Recent Advances on Modeling, Control, and Optimization … · 2020. 1. 11. · Editorial...
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Editorial Recent Advances on Modeling, Control, and Optimization for Complex Engineering Systems Kang Li, 1 Guido Maione, 2 Minrui Fei, 3 and Xingsheng Gu 4 1 School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Ashby Building, Stranmillis Road, Belfast BT9 5AH, UK 2 Dipartimento di Ingegneria Elettrica e dell’Informazione (DEI), Politecnico di Bari, Via E. Orabona 4, 70125 Bari, Italy 3 School of Mechatronic Engineering and Automation, Shanghai University, 149 Yanchang Road, Shanghai 200072, China 4 School of Information Science and Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China Correspondence should be addressed to Kang Li; [email protected] Received 21 December 2014; Accepted 21 December 2014 Copyright © 2015 Kang Li 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. e last decade has seen a radical step-change in the scale and complexity of engineering systems, from industries like petrochemical, pharmaceutical, light industry, and machin- ery manufacturing, to power and energy system and trans- port, and so forth. Complexity arises from a number of factors, such as the nonlinear coupling among units and vari- ables as well as the uncertainty introduced into the system. Further, the rapid progress of information and communica- tion technologies makes the connections even more compli- cated and widespread. As the core technologies in dealing with complex systems, the development of new modelling, control, and optimization techniques for large-scale and com- plex engineering systems have attracted an increasing inter- est, and it becomes a multidiscipline theme bringing together the modern control theory, computer modelling, intelligent optimization, powerful real-time parallel computing, and networking technology. e main focus of this special issue is on the new theo- ries and their applications in modeling, control, and opti- mization for complex engineering systems, especially in industry applications. e topics of these papers cover advanced simulation, modelling, compensation, control, and optimization methods for complex systems and processes; networked control system theory and applications; planning, scheduling, and management; power electronics and power drives; power system operation and control with integration of renewables; electrical machinery and electrical apparatus; smart grid; intelligent transport systems and electric vehicles; wireless networks and sensors; fuzzy and neural systems and networks; metaheuristic algorithms and applications; data fusion and classification; advanced image processing technologies; and intelligent design. ese papers only serve as an introduction to the recent advances in modeling, simulation, control, and optimization for complex engineering systems and applications. It is hoped that this issue will serve as a catalyst for future research aimed at tackling complex engineering problems using advanced techniques. Acknowledgments We would like to express our deepest gratitude to the many reviewers who have helped with the review process for this special issue and the authors for their efforts in contributing the papers. Kang Li Guido Maione Minrui Fei Xingsheng Gu Hindawi Publishing Corporation Mathematical Problems in Engineering Volume 2015, Article ID 746729, 1 page http://dx.doi.org/10.1155/2015/746729 brought to you by CORE View metadata, citation and similar papers at core.ac.uk provided by Crossref
Transcript of Editorial Recent Advances on Modeling, Control, and Optimization … · 2020. 1. 11. · Editorial...
EditorialRecent Advances on Modeling, Control, and Optimization forComplex Engineering Systems
Kang Li,1 Guido Maione,2 Minrui Fei,3 and Xingsheng Gu4
1School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Ashby Building,Stranmillis Road, Belfast BT9 5AH, UK2Dipartimento di Ingegneria Elettrica e dell’Informazione (DEI), Politecnico di Bari, Via E. Orabona 4, 70125 Bari, Italy3School of Mechatronic Engineering and Automation, Shanghai University, 149 Yanchang Road, Shanghai 200072, China4School of Information Science and Engineering, East China University of Science and Technology, 130 Meilong Road,Shanghai 200237, China
Correspondence should be addressed to Kang Li; [email protected]
Received 21 December 2014; Accepted 21 December 2014
Copyright © 2015 Kang Li et al. This is an open access article distributed under the Creative Commons Attribution License, whichpermits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The last decade has seen a radical step-change in the scaleand complexity of engineering systems, from industries likepetrochemical, pharmaceutical, light industry, and machin-ery manufacturing, to power and energy system and trans-port, and so forth. Complexity arises from a number offactors, such as the nonlinear coupling among units and vari-ables as well as the uncertainty introduced into the system.Further, the rapid progress of information and communica-tion technologies makes the connections even more compli-cated and widespread. As the core technologies in dealingwith complex systems, the development of new modelling,control, and optimization techniques for large-scale and com-plex engineering systems have attracted an increasing inter-est, and it becomes a multidiscipline theme bringing togetherthe modern control theory, computer modelling, intelligentoptimization, powerful real-time parallel computing, andnetworking technology.
The main focus of this special issue is on the new theo-ries and their applications in modeling, control, and opti-mization for complex engineering systems, especially inindustry applications. The topics of these papers coveradvanced simulation, modelling, compensation, control, andoptimization methods for complex systems and processes;networked control system theory and applications; planning,scheduling, and management; power electronics and powerdrives; power system operation and control with integration
of renewables; electrical machinery and electrical apparatus;smart grid; intelligent transport systems and electric vehicles;wireless networks and sensors; fuzzy and neural systemsand networks; metaheuristic algorithms and applications;data fusion and classification; advanced image processingtechnologies; and intelligent design.
These papers only serve as an introduction to the recentadvances in modeling, simulation, control, and optimizationfor complex engineering systems and applications. It is hopedthat this issue will serve as a catalyst for future research aimedat tackling complex engineering problems using advancedtechniques.
Acknowledgments
We would like to express our deepest gratitude to the manyreviewers who have helped with the review process for thisspecial issue and the authors for their efforts in contributingthe papers.
Kang LiGuido Maione
Minrui FeiXingsheng Gu
Hindawi Publishing CorporationMathematical Problems in EngineeringVolume 2015, Article ID 746729, 1 pagehttp://dx.doi.org/10.1155/2015/746729
brought to you by COREView metadata, citation and similar papers at core.ac.uk
provided by Crossref
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