IEEE Transactions on Control of Network Systems
The IEEE Transactions on Control of Network Systems is committed to the timely publication of high-impact papers at the intersection of control systems and network science.
Latest Published Articles
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Peer-to-Peer Gradient Topologies in Networks With Churn
Mon Jan 22 00:00:00 EST 2018 Mon Jan 22 00:00:00 EST 2018 -
Weighted Network Design With Cardinality Constraints via Alternating Direction Method of Multipliers
Thu Jan 04 00:00:00 EST 2018 Thu Jan 04 00:00:00 EST 2018 -
Improving Network Connectivity and Robustness Using Trusted Nodes With Application to Resilient Consensus
Mon Dec 11 00:00:00 EST 2017 Mon Dec 11 00:00:00 EST 2017 -
Structural and Strongly Structural Input and State Observability of Linear Network Systems
Mon Dec 11 00:00:00 EST 2017 Mon Dec 11 00:00:00 EST 2017 -
Distributed Hierarchical Control for State Estimation With Robotic Sensor Networks
Mon Dec 11 00:00:00 EST 2017 Mon Dec 11 00:00:00 EST 2017
Popular Articles
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Convex Relaxation of Optimal Power Flow—Part I: Formulations and Equivalence
Wed Mar 05 00:00:00 EST 2014 Wed Mar 05 00:00:00 EST 2014 -
Detection of Faults and Attacks Including False Data Injection Attack in Smart Grid Using Kalman Filter
Fri Sep 12 00:00:00 EDT 2014 Fri Sep 12 00:00:00 EDT 2014 -
Convex Relaxation of Optimal Power Flow—Part II: Exactness
Wed May 14 00:00:00 EDT 2014 Wed May 14 00:00:00 EDT 2014 -
Structure Learning in Power Distribution Networks
Thu Feb 23 00:00:00 EST 2017 Thu Feb 23 00:00:00 EST 2017 -
Optimal Linear Cyber-Attack on Remote State Estimation
Tue May 17 00:00:00 EDT 2016 Tue May 17 00:00:00 EDT 2016
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Meet Our Editors
Editor-in-Chief
Ioannis Ch. Paschalidis
Boston University
Popular Documents (January 2019)
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Convex Relaxation of Optimal Power Flow—Part I: Formulations and Equivalence
Publication Year: 2014, Page(s):15 - 27
Cited by: Papers (245) | Patents (1)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 exact. View full abstract»
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Detection of Faults and Attacks Including False Data Injection Attack in Smart Grid Using Kalman Filter
Publication Year: 2014, Page(s):370 - 379
Cited by: Papers (95)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 smart grid... View full abstract»
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Convex Relaxation of Optimal Power Flow—Part II: Exactness
Publication Year: 2014, Page(s):177 - 189
Cited by: Papers (138)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 exact. View full abstract»
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Structure Learning in Power Distribution Networks
Publication Year: 2018, Page(s):1061 - 1074
Cited by: Papers (4)Traditional power distribution networks suffer from a lack of real-time observability. This complicates development and implementation of new smart-grid technologies, such as those related to demand response, outage detection and management, and improved load monitoring. In this paper, inspired by proliferation of metering technology, we discuss topology estimation problems in structurally loopy b... View full abstract»
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Optimal Linear Cyber-Attack on Remote State Estimation
Publication Year: 2017, Page(s):4 - 13
Cited by: Papers (42)Recent years have witnessed the surge of interest of security issues in cyber-physical systems. In this paper, we consider malicious cyber attacks in a remote state estimation application where a smart sensor node transmits data to a remote estimator equipped with a false data detector. It is assumed that all the sensor data can be observed and modified by the malicious attacker and a residue-base... View full abstract»
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Event-Triggered Control Systems Under Denial-of-Service Attacks
Publication Year: 2017, Page(s):93 - 105
Cited by: Papers (32)In this paper, we propose a systematic design framework for output-based dynamic event-triggered control (ETC) systems under denial-of-service (DoS) attacks. These malicious DoS attacks are intended to interfere with the communication channel causing periods in time at which transmission of measurement data is impossible. We show that the proposed ETC scheme, if well designed, can tolerate a class... View full abstract»
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Breaking the Hierarchy: Distributed Control and Economic Optimality in Microgrids
Publication Year: 2016, Page(s):241 - 253
Cited by: Papers (108)Modeled after the hierarchical control architecture of power transmission systems, a layering of primary, secondary, and tertiary control has become the standard operation paradigm for islanded microgrids. Despite this superficial similarity, the control objectives in microgrids across these three layers are varied and ambitious, and they must be achieved while allowing for robust plug-and-play op... View full abstract»
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Robust Power System State Estimation from Rank-One Measurements
Publication Year: 2019, Page(s): 1The unique features of current and upcoming energy systems, namely high penetration of uncertain renewables, unpredictable customer participation, and purposeful manipulation of meter readings, all highlight the need for fast and robust power system state estimation. In the absence of noise, PSSE is equivalent to solving a system of quadratic equations, which, also related to power flow analysis, ... View full abstract»
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Detection Against Linear Deception Attacks on Multi-Sensor Remote State Estimation
Publication Year: 2018, Page(s):846 - 856
Cited by: Papers (8)In this paper, a security problem in cyberphysical systems (CPS) is studied. A remote state estimation process using multiple sensors is considered. The measurement innovation packets from each sensor, which may be modified by a malicious attacker, are sent to a remote fusion center through wireless communication channels. To avoid being detected by typical bad data detectors at the remote estimat... View full abstract»
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Distributed Adaptive Consensus Disturbance Rejection for Multi-Agent Systems on Directed Graphs
Publication Year: 2018, Page(s):629 - 639
Cited by: Papers (1)This paper considers the distributed consensus disturbance rejection problem for general linear multiagent systems with deterministic disturbances under directed communication graphs. Based on the relative state information of the neighboring agents, the consensus protocols, which consist of two observers, including a state observer and a separate disturbance observer, are designed to guarantee th... View full abstract»
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Distributed Sensor and Actuator Reconfiguration for Fault-Tolerant Networked Control Systems
Publication Year: 2018, Page(s):1517 - 1528
Cited by: Papers (1)In this paper, we address the problem of distributed reconfiguration of networked control systems upon the removal of misbehaving sensors and actuators. In particular, we consider systems with redundant sensors and actuators cooperating to recover from faults. Reconfiguration is performed while minimizing a steady-state estimation error covariance and quadratic control cost. A model-matching condi... View full abstract»
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Scheduling of EV Battery Swapping—Part I: Centralized Solution
Pengcheng You ; Steven H. Low ; Wayes Tushar ; Guangchao Geng ; Chau Yuen ; Zaiyue Yang ; Youxian SunPublication Year: 2018, Page(s):1887 - 1897
Cited by: Papers (4)We formulate an optimal scheduling problem for battery swapping that assigns to each electric vehicle (EV) a best battery station to swap its depleted battery based on its current location and state of charge. The schedule aims to minimize a weighted sum of EVs’ travel distance and electricity generation cost over both station assignments and power flow variables, subject to EV range constraints, ... View full abstract»
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Secure State Estimation and Control for Cyber Security of the Nonlinear Power Systems
Publication Year: 2018, Page(s):1310 - 1321We focus on securely estimating the state of a nonlinear dynamical system from a set of corrupted measurements for two classes of nonlinear systems, and propose a technique that enables us to perform secure state estimation for those systems. We then illustrate how the proposed nonlinear secure state estimation technique can be used to perform estimation in the cyber layer of interconnected power ... View full abstract»
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Harnessing Smoothness to Accelerate Distributed Optimization
Publication Year: 2018, Page(s):1245 - 1260
Cited by: Papers (8)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 rate O(log t/√t) as the centr... View full abstract»
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Controllability Metrics, Limitations and Algorithms for Complex Networks
Publication Year: 2014, Page(s):40 - 52
Cited by: Papers (167)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 required control energy, 2) we derive bounds based on the system dynamics (network topology a... View full abstract»
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Optimal Control of Linear Systems With Limited Control Actions: Threshold-Based Event-Triggered Control
Publication Year: 2018, Page(s):1275 - 1286
Cited by: Papers (1)We consider a finite-horizon linear-quadratic optimal control problem where only a limited number of control messages are allowed for sending from the controller to the actuator. To restrict the number of control actions computed and transmitted by the controller, we employ a threshold-based event-triggering mechanism that decides whether or not a control message needs to be calculated and deliver... View full abstract»
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An Adaptive Switched Control Approach to Heterogeneous Platooning With Intervehicle Communication Losses
Publication Year: 2018, Page(s):1434 - 1444
Cited by: Papers (2)The advances in distributed intervehicle communication networks have stimulated a fruitful line of research in cooperative adaptive cruise control (CACC). In CACC, individual vehicles, grouped into platoons, must automatically adjust their own speed using on-board sensors and communication with the preceding vehicle so as to maintain a safe intervehicle distance. However, a crucial limitation of t... View full abstract»
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Connecting Automatic Generation Control and Economic Dispatch From an Optimization View
Publication Year: 2016, Page(s):254 - 264
Cited by: Papers (51)Automatic generation control (AGC) regulates mechanical power generation in response to load changes through local measurements. Its main objective is to maintain system frequency and keep energy balanced within each control area in order to maintain the scheduled net interchanges between control areas. The scheduled interchanges as well as some other factors of AGC are determined at a slower time... View full abstract»
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DoS Attack Energy Management Against Remote State Estimation
Publication Year: 2018, Page(s):383 - 394
Cited by: Papers (11)This paper considers a remote state estimation problem, where a sensor measures the state of a linear discrete-time process and has computational capability to implement a local Kalman filter based on its own measurements. The sensor sends its local estimates to a remote estimator over a communication channel that is exposed to a Denial-of-Service (DoS) attacker. The DoS attacker, subject to limit... View full abstract»
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On Maximizing Sensor Network Lifetime by Energy Balancing
Publication Year: 2018, Page(s):1206 - 1218
Cited by: Papers (2)Many physical systems, such as water/electricity distribution networks, are monitored by battery-powered wireless-sensor networks (WSNs). Since battery replacement of sensor nodes is generally difficult, long-term monitoring can be only achieved if the operation of the WSN nodes contributes to long WSN lifetime. Two prominent techniques to long WSN lifetime are 1) optimal sensor activation and 2) ... View full abstract»
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Distributed Optimization for Network Resource Allocation with Nonsmooth Utility Functions
Publication Year: 2018, Page(s): 1The network utility maximization (NUM) problem is the problem of maximizing the overall utility of a network under capacity constraints, where each source in the network has its own private nonsmooth concave utility function (which allows the true utility to be modeled accurately) and each link in the network has only its capacity constraint. To solve this problem, two distributed optimization alg... View full abstract»
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Secure State Estimation Against Sensor Attacks in the Presence of Noise
Publication Year: 2017, Page(s):49 - 59
Cited by: Papers (18)We consider the problem of estimating the state of a noisy linear dynamical system when an unknown subset of sensors is arbitrarily corrupted by an adversary. We propose a secure state estimation algorithm, and derive (optimal) bounds on the achievable state estimation error given an upper bound on the number of attacked sensors. The proposed state estimator involves Kalman filters operating over ... View full abstract»
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Attack-Resilient State Estimation for Noisy Dynamical Systems
Publication Year: 2017, Page(s):82 - 92
Cited by: Papers (27)Several recent incidents have clearly illustrated the susceptibility of cyberphysical systems (CPS) to attacks, raising attention to security challenges in these systems. The tight interaction between information technology and the physical world has introduced new vulnerabilities that cannot be addressed with the use of standard cryptographic security techniques. Accordingly, the problem of state... View full abstract»
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Scheduling of EV Battery Swapping–Part II: Distributed Solutions
Pengcheng You ; Steven H. Low ; Liang Zhang ; Ruilong Deng ; Georgios B. Giannakis ; Youxian Sun ; Zaiyue YangPublication Year: 2018, Page(s):1920 - 1930
Cited by: Papers (3)In Part I of this paper, we formulate an optimal scheduling problem for battery swapping that assigns to each electric vehicle (EV) a best station to swap its depleted battery based on its current location and state of charge. The schedule aims to minimize a weighted sum of EVs’ travel distance and electricity generation cost over both station assignments and power flow variables, subject to EV ra... View full abstract»
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Adaptive Consensus in Leader-Following Networks of Heterogeneous Linear Systems
Publication Year: 2018, Page(s):1169 - 1176
Cited by: Papers (1)This paper investigates a general model of heterogeneous multiagent systems with different individual adaptation structures and input constraints, and proposes an effective distributed adaptation protocol for compensating the effects of differences in system matrices and solving the leader-following consensus problem in such a model. It is generally assumed that state outputs are the only informat... View full abstract»
Aims & Scope
The IEEE Transactions on Control of Network Systems is committed to the timely publication of high-impact papers at the intersection of control systems and network science.
Meet Our Editors
Editor-in-Chief
Ioannis Ch. Paschalidis
Boston University
Further Links
Aims & Scope
The IEEE Transactions on Control of Network Systems is committed to the timely publication of high-impact papers at the intersection of control systems and network science. In particular, the journal addresses research on the analysis, design and implementation of networked control systems, as well as control over networks. Relevant work includes the full spectrum from basic research on control systems to the design of engineering solutions for automatic control of, and over, networks. The topics covered by this journal include: Coordinated control and estimation over networks, Control and computation over sensor networks, Control under communication constraints, Control and performance analysis issues that arise in the dynamics of networks used in application areas such as communications, computers, transportation, manufacturing, Web ranking and aggregation, social networks, biology, power systems, economics, Synchronization of activities across a controlled network, Stability analysis of controlled networks, Analysis of networks as hybrid dynamical systems.
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=6509490 More »
Frequency: 4
ISSN: 2325-5870
Publication Details:
Subjects
- Communication, Networking & Broadcasting
- Components, Circuits, Devices & Systems
- Computing & Processing
- Robotics & Control Systems
- Signal Processing & Analysis
Editor-in-Chief
Ioannis Ch. Paschalidis
Professor and Distinguished Faculty Fellow
Department of Electrical and Computer Engineering and Division of Systems Engineering
Director, Center for Information and Systems Engineering (CISE)
Boston University
8 St. Mary's Street
Boston, MA 02215
Tel.: (617) 353-0434 Fax: (617) 353-6440
e-mail: yannisp@bu.edu
URL: https://sites.bu.edu/paschalidis/
Related: http://sites.bu.edu/tcns/
Assistant to the Editor-in-Chief
Maureen Stanton
Center for Information and Systems
Engineering (CISE)
Boston University
15 Saint Mary’s St.
Brookline, MA 02446
Tel: 617-358-5973
stanton@bu.edu
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Editor-in-Chief
Ioannis Ch. Paschalidis
Boston University