1,720,996 research outputs found
Distributed Algorithm for Link Removal in Directed Networks
No full textThis paper considers the problem of removing a fraction of links from a strongly connected directed network such that the largest (in module) eigenvalue of the adjacency matrix corresponding to the network structure is minimized. Due to the complexity of the problem, an effective and scalable algorithm based on eigenvalue sensitivity analysis is proposed in the literature to compute the suboptimal solution to the problem. However, the algorithm requires knowledge of the global network structure and does not preserve strong connectivity of the resulting network. This paper proposes distributed algorithms which allow distributed implementation of the previously mentioned algorithm by relying solely on local information on the network topology while guaranteeing strong connectivity of the resulting network. A numerical example is provided to demonstrate the proposed distributed algorithm.Peer reviewe
Resilient and Privacy-Preserving Leader-Follower Consensus in Presence of Cyber-Attacks
No full textThis letter presents a novel and unified distributed control framework that ensures resilient leader-follower consensus in the presence of unknown but bounded attacks on both the communication network and actuators while simultaneously preserving the privacy of an agent’s physical state from eavesdroppers. To this end, a virtual state and time-varying signals are introduced to each agent, which function as masks to the physical state and are designed to ensure resilient leader-follower consensus. The proposed control strategy does not require high network connectivity and imposes no restrictions on the number of attacks. A numerical example is provided to illustrate the results.Peer reviewe
Distributed deployment algorithms for robotic visual sensor networks in non-convex environment
No full textPerformance-oriented communication topology design for large-scale interconnected systems
No full textPerformance-guaranteed distributed coverage control for robotic visual sensor network with limited energy storage
No full text
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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