# IEEE Transactions on Control of Network Systems

## Issue 99

Early Access articles are new content made available in advance of the final electronic or print versions and result from IEEE's Preprint or Rapid Post processes. Preprint articles are peer-reviewed but not fully edited. Rapid Post articles are peer-reviewed and edited but not paginated. Both these types of Early Access articles are fully citable from the moment they appear in IEEE Xplore.

## Filter Results

Displaying Results 1 - 25 of 182
• ### Distributed Partitioned Big-Data Optimization via Asynchronous Dual Decomposition

Publication Year: 2017, Page(s): 1
| | PDF (1545 KB)

In this paper we consider a novel partitioned framework for distributed optimization in peer-to-peer networks. In several important applications the agents of a network have to solve an optimization problem with two key features: (i) the dimension of the decision variable depends on the network size, and (ii) cost function and constraints have a sparsity structure related to the communication grap... View full abstract»

• ### Scheduling of EV Battery Swapping, II: Distributed Solutions

Publication Year: 2017, Page(s): 1
| | PDF (3003 KB)

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 ran... View full abstract»

• ### Multiequilibria analysis for a class of collective decision-making networked systems

Publication Year: 2017, Page(s): 1
| | PDF (2537 KB)

The models of collective decision-making considered in this paper are nonlinear interconnected cooperative systems with saturating interactions. These systems encode the possible outcomes of a decision process into different steady states of the dynamics. In particular, they are characterized by two main attractors in the positive and negative orthant, representing two choices of agreement among t... View full abstract»

Publication Year: 2017, Page(s): 1
| | PDF (1659 KB)

Network resource allocation shows revived popularity in the era of data deluge and information explosion. Existing stochastic optimization approaches fall short in attaining a desirable cost-delay tradeoff. Recognizing the central role of Lagrange multipliers in network resource allocation, a novel learn-and-adapt stochastic dual gradient (LA-SDG) method is developed in this paper to learn the sam... View full abstract»

• ### Opportunistic Scheduling as Restless Bandits

Publication Year: 2017, Page(s): 1
| | PDF (947 KB)

In this paper we consider energy efficient scheduling in a multiuser setting where each user has a finite sized queue and there is a cost associated with holding packets (jobs) in each queue (modeling the delay constraints). The packets of each user need to be sent over a common channel. The channel qualities seen by the users are time-varying and differ across users; also, the cost incurred, i.e.... View full abstract»

• ### A Low-Complexity Parallelizable Numerical Algorithm for Sparse Semidefinite Programming

Publication Year: 2017, Page(s): 1
| | PDF (2194 KB)

In the past two decades, the semidefinite programming technique has been proven to be extremely successful in the convexificiation of hard optimization problems appearing in graph theory, control theory, polynomial optimization theory, and many areas in engineering. In particular, major power optimization problems, such as optimal power flow, state estimation and unit commitment, can be formulated... View full abstract»

• ### Scheduling of EV Battery Swapping, I: Centralized Solution

Publication Year: 2017, Page(s): 1
| | PDF (254 KB)

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»

• ### Control of Networked Distributed Energy Resources in Grid-Connected AC Microgrids

Publication Year: 2017, Page(s): 1
| | PDF (922 KB)

This paper focuses on the optimal utilization of grid-connected microgrids for providing frequency regulation services to the bulk system they are connected to. We consider microgrids comprised of several distributed energy resources (DER) interconnected via an electrical network. We then formulate a joint DER scheduling and power flow optimization problem in order to determine the DER set-points ... View full abstract»

• ### Convergence Analysis of Classes of Asymmetric Networks of Cucker-Smale Type with Deterministic Perturbations

Publication Year: 2017, Page(s): 1
| | PDF (2070 KB)

We introduce and discuss two nonlinear perturbed extensions of the Cucker-Smale model with asymmetric coupling weights. The first model assumes a finite collection of autonomous agents aiming to perform a consensus process in the presence of identical internal dynamics. The second model describes a similar population of agents that perform velocity alignment with the restriction of collision-free ... View full abstract»

• ### Information flow in a Boolean network model of collective behavior

Publication Year: 2017, Page(s): 1
| | PDF (735 KB)

In animal groups, leaders have often been proposed to be those individuals who possess additional knowledge about their surroundings, such as the location of a food source or a potential predator. Understanding how this information propagates through the group to shape collective response is an important step to elucidate the evolutionary basis of leadership. In this paper, we study a Boolean mode... View full abstract»

• ### Event-driven control with deadline optimization for linear systems with stochastic delays

Publication Year: 2017, Page(s): 1
| | PDF (1169 KB)

This work presents a novel control strategy for systems with actuation delays with known stochastic distribution, which improves upon previously proposed deadline-driven and event-driven strategies. In the event-driven strategy the control input is immediately updated after the delay, whereas in the deadline-driven strategy the actuation is updated in a periodic fashion where the sampling period s... View full abstract»

• ### Mean Square Stabilization over Gaussian Finite-State Markov Channels

Publication Year: 2017, Page(s): 1
| | PDF (1989 KB)

The paper studies the mean square stabilization problem of discrete-time linear time-invariant systems over Gaussian finite-state Markov channels, which suffer from both signal-to-noise ratio constraint and correlated channel fading modeled by a Markov process. The existence of a fundamental limitation for mean square stabilization is firstly established. Then sufficient stabilization conditions u... View full abstract»

• ### Fully Distributed Dynamic State Estimation with Uncertain Process Models

Publication Year: 2017, Page(s): 1
| | PDF (881 KB)

This paper studies the problem of distributed state estimation in the scenario where the process model of interest is not certain to any local agent. By extending the previously proposed $Distributed$ $Hybrid$ $information$ $fusion$ (DHIF) algorithm to this considered scenario, t... View full abstract»

• ### Quantifying Inefficiency of Fair Cost-Sharing Mechanisms for Sharing Economy

Publication Year: 2017, Page(s): 1
| | PDF (460 KB)

Sharing economy is a distributed peer-to-peer economic paradigm, which gives rise to a variety of social interactions for economic purposes. One fundamental distributed decision-making process is coalition formation for sharing certain replaceable resources collaboratively, for example, sharing hotel rooms among travelers, sharing taxi-rides among passengers, and sharing regular passes among users... View full abstract»

• ### Transient Response Improvement for Interconnected Linear Systems: Low-Dimensional Controller Retrofit Approach

Publication Year: 2017, Page(s): 1
| | PDF (1133 KB)

In this paper, we propose a method of designing low-dimensional controllers for interconnected linear systems. (AE2) In the proposed method, by implementing an additional low- dimensional controller, which we call a retrofit controller, to a preexisting control system, we aim at improving transient responses caused by a local fault occurring at a specific sub- system. It is found that a type of st... View full abstract»

• ### Controllability of Boolean Control Networks with Multiple Time-delays

Publication Year: 2017, Page(s): 1
| | PDF (1171 KB)

In this paper, the controllability of Boolean control networks (BCNs) with multiple time-delays is investigated. The concept of controllability matrices for BCNs with multiple time-varying delays is proposed, and an iterative algorithm is proposed to calculate all controllability matrices. Based on this, a concise criterion for controllability is proposed, which states that a BCN with delays is co... View full abstract»

• ### Analysis of Automotive Cyber-Attacks on Highways using Partial Differential Equation Models

Publication Year: 2017, Page(s): 1
| | PDF (3142 KB)

This paper considers scenarios wherein a group of malicious vehicles on a highway perform a cooperative attack with the motive of creating undesirable wave effects among other vehicles on the highway. The two species of vehicles - malicious vehicles and normal vehicles, and their associated interaction effects, are modeled using Partial Differential Equations (PDEs). The malicious vehicles, which ... View full abstract»

• ### The Roles of Input Matrix and Nodal Dynamics in Network Controllability

Publication Year: 2017, Page(s): 1
| | PDF (1210 KB)

Recently, there has been a growing interest in network controllability for determining the number and placement of controllers. In the framework of linear dynamics, this paper regarding the network controllability studies both the formulation of the control input matrix and the influence of the linear nodal dynamics, with precise guidelines derived on how to design the input matrix. This design st... View full abstract»

• ### Identification of Nonlinear State-Space Systems from Heterogeneous Datasets

Publication Year: 2017, Page(s): 1
| | PDF (2709 KB)

This paper proposes a new method to identify nonlinear state-space systems from heterogeneous datasets. The method is described in the context of identifying biochemical/gene networks (i.e., identifying both reaction dynamics and kinetic parameters) from experimental data. Simultaneous integration of various datasets has the potential to yield better performance for system identification. Data col... View full abstract»

• ### Robustness of Leader-Follower Networked Dynamical Systems

Publication Year: 2017, Page(s): 1
| | PDF (1627 KB)

We present a graph-theoretic approach to analyzing the robustness of leader-follower consensus dynamics to disturbances and time delays. Robustness to disturbances is captured via the system $\mathcal{H}_2$ and $\mathcal{H}_{\infty}$ norms and robustness to time delay is defined as the maximum allowable delay for the system to remain asym... View full abstract»

• ### Proximal dynamics in Multi-Agent Network Games

Publication Year: 2017, Page(s): 1
| | PDF (953 KB)

In this paper, we consider dynamics and protocols for agents seeking an equilibrium in a network game with proximal quadratic cost coupling. We adopt an operator theoretic perspective to show global convergence to a network equilibrium, under the assumption of convex cost functions with proximal quadratic couplings, time-invariant and time-varying communication graph along with convex local constr... View full abstract»

• ### Transitional Behavior of $q$-Composite Random Key Graphs with Applications to Networked Control

Publication Year: 2017, Page(s): 1
| | PDF (596 KB)

Random key graphs have received considerable attention and been used in various applications including secure sensor networks, social networks, the study of epidemics, cryptanalysis, and recommender systems. In this paper, we investigate $q$-composite random key graphs, whose construction on $n$ nodes is as follows: each node independentl... View full abstract»

• ### Collaborative and Compressed Mobile Sensing for Data Collection in Distributed Robotic Networks

Publication Year: 2017, Page(s): 1
| | PDF (1902 KB)

In this paper, we exploit an integration between the mobility of robots and the collaboration between them to sample sensing areas that need to be observed. A Collaborative and Compressed Mobile Sensing (CCMS) algorithm is proposed for distributed robotic networks to build scalar field maps. In order to move in the sensing field and to avoid collision with obstacles and with each other, a control ... View full abstract»

• ### Design Of Real-Time Implementable Distributed Suboptimal Control: An LQR Perspective

Publication Year: 2017, Page(s): 1
| | PDF (793 KB)

We propose a framework for multiagent systems in which the agents compute their control actions in real time, based on local information only. The novelty of the proposed framework is that the process of computing a suboptimal control action is divided into two phases: an offline phase and an online phase. In the offline phase, an approximate problem is formulated with a cost function that is clos... View full abstract»

• ### Network Identification with Latent Nodes via Auto-Regressive Models

Publication Year: 2017, Page(s): 1
| | PDF (2158 KB)

We consider linear time-invariant networks with unknown topology where only a manifest subset of the nodes can be directly actuated and measured while the state of the remaining latent nodes and their number are unknown. Our goal is to identify the transfer function of the manifest subnetwork and determine whether interactions between manifest nodes are direct or mediated by latent nodes. We show ... 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