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A complex dynamical network (CDN) can be considered as the composition system with the nodes subsystem (NS) and the links subsystem (LS), and both subsystems are coupled with each other. Therefore, the dynamics of NS affects the dynamics of LS, and vice versa. In this paper, two vector differential equation (VDE)s are employed to describe the dynamics of NS and LS, respectively, in which the dynamics of NS is proposed as the VDE with the second derivative term (SDT) for more realistic engineering applications. Compared with the existing literature, the key advantage is that the dynamics of links is utilized to assist synthesizing the tracking controller of NS. The results show that when the state of LS tracks asymptotically the synthesized auxiliary tracking goal (ATG), the state of NS tracks asymptotically the given reference signal. Observing the eventual topology of CDN, all eventual links between nodes depend on the proposed ATG when NS achieving the tracking target, in which one special case is that if all target signals determined by ATG are not zero, all nodes are not isolated. Finally, the effectiveness of the proposed control scheme is verified by a numerical simulation example. [ABSTRACT FROM AUTHOR]

• Bibliometric techniques identify the productivity and influence on research. • Fuzzy systems are an area of study with potential for further research. • Zadeh is known as the most influential author in fuzzy research in North American. • The United States is the most productive and influential country in fuzzy research. The objective of this paper is to apply bibliometric techniques to analyze the evolution of fuzzy systems research (FSR) in the United States of America and Canada. The aim is to visualize the progression of FSR since Zadeh's first publication of fuzzy sets and the regional impact that these ideas have in the scientific community. This work obtains data retrieved from the Web of Science (WoS) scientific database. Using a hybrid methodology designed to maximize the obtention of representative results, we analyze 20,317 documents published between 1965 and 2020. The main findings show that Zadeh is the most influential author and that Pedrycz is the most productive author at FSR. Journals such as Fuzzy Sets and Systems (FSS) and IEEE Transactions on Fuzzy Systems (TFS) publish most of the FSR articles. The results show a greater contribution by the United States of America compared to Canada in FSR. This analysis contributes to visualization and evolution in the field of study of FSR in diverse regions. [ABSTRACT FROM AUTHOR]

• An approach for cleaning and reconciliation of tags in open data portal (ODP) categories using natural language processing methods. • A data structure for connecting ODPs – cross-portal metadata alignment structure generated using ODPs' tags. • Formal context reduction based on semantic similarity measure through means of natural language processing. • Cross-portal dataset categorization - determining appropriate category for a dataset using the metadata alignment structure. • Quality assessment using datasets obtained from Canada's and New Zealand's ODP. Due to openness and transparency initiatives, a vast amount of data is being made publicly available. This data has great significance for business and society. However, it also led to challenges that need to be overcome for this data to reach its full potential. In this paper, we are focusing on the problem of connecting open data portals (ODPs) through metadata alignment. We investigate the available metadata accompanying datasets, especially the part related to categories datasets belong to and tags that closely describe datasets. The methodology we propose is relying on Formal Concept Analysis for the creation of the hierarchical structure used for determining the similarity of tags' usage in different ODPs. We propose such a structure to be used for open data portal metadata alignment. Further, we apply semantic similarity measures to reduce the complexity of the cross-portal data structure while preserving all its characteristics. We demonstrate how our approach can be used for determining dataset category across multiple ODPs aligned using the data structure our approach generates. We envision our approach to improve cross-portal search and metadata enrichment through open data categorization. Lastly, the quality of our approach was tested using datasets obtained from Canada's and New Zealand's ODPs. [ABSTRACT FROM AUTHOR]