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IEEE Transactions on Control of Network Systems is a peer-reviewed journal published by IEEE, covering Distributed Control Multi-Agent Systems, Neural Networks Stability and Synchronization, Stability and Control of Uncertain Systems. Over its lifetime it has published 1,955 papers, which have received 43,412 citations.
| Publisher | IEEE |
|---|---|
| Reference style | Numbered (IEEE) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, "A representative article title," IEEE Transactions on Control of Network Systems, vol. 12, no. 3, pp. 45–58, 2023.
Formats any DOI in IEEE Transactions on Control of Network Systems style. No sign-up. |
| Publishes research in | Distributed Control Multi-Agent Systems Neural Networks Stability and Synchronization Stability and Control of Uncertain Systems Smart Grid Security and Resilience Advanced Control Systems Optimization |
| ISSN | 2325-5870 |
| Citation impact (2-yr) | 2.76 |
| h-index | 91 |
| i10-index | 843 |
| Top institutions publishing here | Southeast University |
| Journal website | ieeexplore.ieee.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
This tutorial summarizes recent advances in the convex relaxation of the optimal power flow (OPF) problem, focusing on structural properties rather than algorithms. Part I presents two power flow models, formulates OPF and their relaxations in each model, and proves equivalence relationships among them. Part II presents sufficient conditions under which the convex relaxations are…
By exploiting the communication infrastructure among the sensors, actuators, and control systems, attackers may compromise the security of smart-grid systems, with techniques such as denial-of-service (DoS) attack, random attack, and data-injection attack. In this paper, we present a mathematical model of the system to study these pitfalls and propose a robust security framework for the…
This paper studies the problem of controlling complex networks, i.e., the joint problem of selecting a set of control nodes and of designing a control input to steer a network to a target state. For this problem, 1) we propose a metric to quantify the difficulty of the control problem as a function of the…
There has been a growing effort in studying the distributed optimization problem over a network. The objective is to optimize a global function formed by a sum of local functions, using only local computation and communication. The literature has developed consensus-based distributed (sub)gradient descent (DGD) methods and has shown that they have the same convergence…
This tutorial summarizes recent advances in the convex relaxation of the optimal power flow (OPF) problem, focusing on structural properties rather than algorithms. Part I presents two power flow models, formulates OPF and their relaxations in each model, and proves equivalence relations among them. Part II presents sufficient conditions under which the convex relaxations are…
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