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# IEEE Transactions on Control of Network Systems

### Early Access Articles

Early Access articles are made available in advance of the final electronic or print versions. Early Access articles are peer reviewed but may not be fully edited. They are fully citable from the moment they appear in IEEE Xplore.

## Filter Results

Displaying Results 1 - 25 of 172
• ### Event-driven Trajectory Optimization for Data Harvesting in Multi-Agent Systems

Publication Year: 2017, Page(s): 1
| | PDF (3736 KB)

We propose a new event-driven method for on-line trajectory optimization to solve the data harvesting problem: in a two-dimensional mission space, N mobile agents are tasked with the collection of data generated at M stationary sources and delivery to a base with the goal of minimizing expected collection and delivery delays. We define a new performance measure that addresses the event excitation ... View full abstract»

• ### Epidemic Processes over Time-Varying Networks

Publication Year: 2017, Page(s): 1
| | PDF (1969 KB)

The spread of viruses in biological networks, computer networks, and human contact networks can have devastating effects; developing and analyzing mathematical models of these systems can provide insights that lead to long-term societal benefits. Prior research has focused mainly on network models with static graph structures, however the systems being modeled typically have dynamic graph structur... View full abstract»

• ### Secure State Estimation and Control for Cyber Security of the Nonlinear Power Systems

Publication Year: 2017, Page(s): 1
| | PDF (1157 KB)

We 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 which 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»

• ### Distributed Integer Weight Balancing in the Presence of Time Delays in Directed Graphs

Publication Year: 2017, Page(s): 1
| | PDF (729 KB)

A digraph with positive weights on its edges is weight-balanced if, for each node, the sum of the weights of the incoming edges equals the sum of the weights of the outgoing edges. Weight-balanced digraphs play an important role in a variety of cooperative control problems, including formation control, event-triggered coordination, distributed averaging, and optimization. Classical distributed alg... View full abstract»

• ### Optimal control of linear systems with limited control actions: threshold-based event-triggered control

Publication Year: 2017, Page(s): 1
| | PDF (1619 KB)

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 thresholdbased event-triggering mechanism that decides whether or not a control message needs to be calculated and delivere... View full abstract»

• ### Detecting Topology Variations in Networks of Linear Dynamical Systems

Publication Year: 2017, Page(s): 1
| | PDF (423 KB)

In this paper, we consider the problem of detecting topology variations in networks of linear dynamical systems. We study the problem of finding conditions under which one can detect node or link disconnections from prior knowledge of the nominal network behavior and on-line measurements taken from the entire set or a fraction of network nodes. Necessary and sufficient conditions for detectability... View full abstract»

• ### Harnessing Smoothness to Accelerate Distributed Optimization

Publication Year: 2017, Page(s): 1
| | PDF (1164 KB)

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. Literature has developed consensus-based distributed (sub)gradient descent (DGD) methods and has shown that they have the same convergence rate \$Oleft({log t... View full abstract»

• ### Characterization of Cutsets in Networks with Application to Transient Stability Analysis of Power Systems

Publication Year: 2017, Page(s): 1
| | PDF (1377 KB)

A cutset is a concept of importance in both graph theory and many engineering problems. In this paper, cutset properties are studied and applied to transient stability problems in power systems. First, we reveal that cutsets are intrinsically linked to cycles, another important concept in graph theory. The main theoretical results include that any pair of edges in a cutset are concyclic (i.e., con... View full abstract»

• ### Distributed optimal Load Frequency Control with non-passive dynamics

Publication Year: 2017, Page(s): 1
| | PDF (2407 KB)

Motivated by an increase of renewable energy sources we propose a distributed optimal Load Frequency Control scheme achieving frequency regulation and economic dispatch. Based on an energy function of the power network we derive an incremental passivity property for a well known nonlinear structure preserving network model, differentiating between generator and load buses. Exploiting this property... View full abstract»

• ### Resilient First-Order Consensus and Weakly Stable, Higher Order Synchronization of Continuous-Time Networked Multi-Agent Systems

Publication Year: 2017, Page(s): 1
| | PDF (724 KB)

Local interaction rules for consensus and synchronization are vital for many applications in distributed control of Cyber-Physical Systems (CPS). However, most research in this area assumes all nodes (or agents) in the networked system cooperate. This paper considers local interaction rules for resilient first-order consensus and weakly stable, higher order synchronization whenever a subset of the... View full abstract»

• ### On Maximizing Sensor Network Lifetime by Energy Balancing

Publication Year: 2017, Page(s): 1
| | PDF (1093 KB)

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 a long WSN lifetime. Two prominent techniques to long WSN lifetime are i) optimal sensor activation and i... View full abstract»

• ### On (Non)Supermodularity of Average Control Energy

Publication Year: 2017, Page(s): 1
| | PDF (356 KB)

Given a linear system, we consider the expected energy to move from the origin to a uniformly random point on the unit sphere as a function of the set of actuated variables. We prove that this function is not necessarily supermodular, correcting some claims in the existing literature. View full abstract»

• ### Conic Relaxations for Power System State Estimation with Line Measurements

Publication Year: 2017, Page(s): 1
| | PDF (896 KB)

This paper deals with the non-convex power system state estimation (PSSE) problem, which plays a central role in the monitoring and operation of electric power networks. Given a set of noisy measurements, PSSE aims at estimating the vector of complex voltages at all buses of the network. This is a challenging task due to the inherent nonlinearity of power flows, for which the existing methods lack... View full abstract»

• ### Discrete-time distributed extremum-seeking control over networks with unstable dynamics

Publication Year: 2017, Page(s): 1
| | PDF (541 KB)

In this paper, we propose a discrete-time version of extremum-seeking control (ESC) which can be implemented by several agents communicating over a network. We consider the problem where several agents each measure a local cost and must cooperate to minimize the total cost which is the sum of the local costs. To solve this problem, we combine a dynamic average consensus algorithm with a proportion... View full abstract»

Publication Year: 2017, Page(s): 1
| | PDF (685 KB)

This paper investigates a general model of heterogeneous multi-agent 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 informa... View full abstract»

• ### Optimal Attack Strategies Subject to Detection Constraints Against Cyber-Physical Systems

Publication Year: 2017, Page(s): 1
| | PDF (1649 KB)

This paper studies an attacker against a cyberphysical system (CPS) whose goal is to move the state of a CPS to a target state while ensuring that his or her probability of being detected does not exceed a given bound. The attacker’s probability of being detected is related to the nonnegative bias induced by his or her attack on the CPS's detection statistic. We formulate a linear quadratic... View full abstract»

• ### Evaluating the Effects of Real Power Losses in Optimal Power Flow Based Storage Integration

Publication Year: 2017, Page(s): 1
| | PDF (1259 KB)

This paper proposes a DC optimal power flow (DCOPF) with losses formulation (the -DCOPF+S problem) and uses it to investigate the role of real power losses in OPF based grid-scale storage integration. We derive the - DCOPF+S problem by augmenting a standard DCOPF with storage (DCOPF+S) problem to include quadratic real power loss approximations. This procedure leads to a multi-period nonconvex q... View full abstract»

• ### Adaptive Reliable Coordination Control for Linear Agent Networks with Intermittent Communication Constraints

Publication Year: 2017, Page(s): 1
| | PDF (890 KB)

This paper studies the adaptive reliable coordination control problem for a class of multi-agent systems (MASs) under time-varying topology in the presence of intermittent communication constraints and actuator faults. The underlying communication network is assumed to switch among finite undirected connected graphs. A new fault-tolerant consensus tracking control scheme is presented by utilizing ... View full abstract»

• ### Control Analysis and Design for Statistical Models of Spiking Networks

Publication Year: 2017, Page(s): 1
| | PDF (2996 KB)

A popular approach to characterizing activity in neuronal networks is the use of statistical models that describe neurons in terms of their firing rates (i.e., the number of spikes produced per unit time). The output realization of a statistical model is, in essence, an n􀀀dimensional binary time series, or pattern. While such models are commonly fit to data, they can also be postulated de... View full abstract»

• ### A tool for stability and power sharing analysis of a generalized class of droop controllers for high-voltage direct-current transmission systems

Publication Year: 2017, Page(s): 1
| | PDF (705 KB)

The problem of primary control of high-voltage direct current transmission systems is addressed in this paper, which contains four main contributions. First, to propose a new nonlinear, more realistic, model for the system suitable for primary control design, which takes into account nonlinearities introduced by conventional inner controllers. Second, to determine necessary conditions—depen... View full abstract»

• ### Mechanism design for resource allocation in networks with intergroup competition and intragroup sharing

Publication Year: 2017, Page(s): 1
| | PDF (485 KB)

We consider a network where strategic agents, who are contesting for allocation of resources, are divided into fixed groups. The network control protocol is such that within each group agents get to share the resource and across groups they contest for it. A prototypical example is the allocation of data rate on a network with multicast/multirate architecture. Compared to the unicast architecture ... View full abstract»

• ### Multi-Period Network Rate Allocation with End-to-End Delay Constraints

Publication Year: 2017, Page(s): 1
| | PDF (657 KB)

QoS-aware networking applications such as realtime streaming and video surveillance systems require nearly fixed average end-to-end delay over long periods to communicate efficiently, although may tolerate some delay variations in short periods. This variability exhibits complex dynamics that makes rate control of such applications a formidable task. This paper addresses rate allocation for hetero... View full abstract»

• ### Topology design for stochastically-forced consensus networks

Publication Year: 2017, Page(s): 1
| | PDF (2100 KB)

We study an optimal control problem aimed at adding a certain number of edges to an undirected network, with a known graph Laplacian, in order to optimally enhance closed-loop performance. The performance is quantified by the steady-state variance amplification of the network with additive stochastic disturbances. To promote controller sparsity, we introduce `1-regularization into the optimal H2 f... View full abstract»

• ### Structure Learning in Power Distribution Networks

Publication Year: 2017, Page(s): 1
| | PDF (1345 KB)

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»

• ### Novel Homotopy Theory for Nonlinear Networks and Systems and Its Applications to Electrical Grids

Publication Year: 2017, Page(s): 1
| | PDF (957 KB)

Homotopy methods have several useful applications in biology, economics, nonlinear circuit design, and electric power networks, among others. A novel homotopy theory and a convergence theorem are presented in this paper for generalpurpose homotopy methods. It is shown that the derived analytical results are applicable to a class of large-scale integrated circuit designs and protein interaction net... 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.

Full Aims & Scope

## Meet Our Editors

Editor-in-Chief
Ioannis Ch. Paschalidis
Boston University