# 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 127
• ### Maximum Hands-off Distributed Control for Consensus of Multi-Agent Systems with Sampled-data State Observation

Publication Year: 2018, Page(s): 1
| | PDF (516 KB)

In this paper, we propose a distributed control algorithm for consensus of multi-agent systems with first- and second-order dynamics via sampled-data state observation. Our consensus scheme is based on the maximum hands-off control. It is a control that maximizes the time duration on which the control is exactly zero among the feasible controls. Such a control can stop actuators for a long time du... View full abstract»

• ### Input and State Observability of Network Systems with Time-Varying Topology

Publication Year: 2018, Page(s): 1
| | PDF (733 KB)

We aim to study the problem of reconstructing the initial state as well as the sequence of unknown inputs (ISO) for linear network systems having time-varying topology. Evolution of such systems can be represented by a collection of graphs {Gk}. We find conditions under which the system with a pattern of fixed zeros imposed by {Gk} is ISO: a)for almost all choices of edge weights in {Gk} (structur... View full abstract»

• ### Pinning Controllability of Complex Network Systems With Noise

Publication Year: 2018, Page(s): 1
| | PDF (2871 KB)

The ability of a network of nonlinear systems to synchronize onto the desired reference trajectory in the presence of one or more leader nodes is known as the pinning controllability problem. This paper studies the pinning controllability of multi-agent networks subject to three different types of noise diffusion processes; namely, noise affecting the node dynamics, the communication links, and th... View full abstract»

• ### Finite-Time and Fixed-Time Synchronization of Kuramoto-Oscillator Network with Multiplex Control

Publication Year: 2018, Page(s): 1
| | PDF (1997 KB)

In this paper, the finite-time and fixed-time synchronization of a generalized Kuramoto model with identical and nonidentical oscillators are investigated, respectively. Given a (weak) coupling strength or initial phases dispersed over a circle, the Kuramoto-oscillator network can achieve phase-frequency synchronization within a finite time, and the upper bound of synchronization time can be estim... View full abstract»

• ### Competition and Efficiency of Coalitions in Cournot Games with Uncertainty

Publication Year: 2018, Page(s): 1
| | PDF (1427 KB)

We investigate the impact of coalition formation on the efficiency of Cournot games where producers face uncertainties. In particular, we study a market model where firms must determine their output before an uncertain production capacity is realized. In contrast to standard Cournot models, we show that the game is not efficient when there are many small firms. Instead, producers tend to act conse... View full abstract»

• ### Distributed Fault Detection for Interconnected Large-Scale Systems: a Scalable Plug & Play Approach

Publication Year: 2018, Page(s): 1
| | PDF (1093 KB)

In this paper, we propose a novel distributed fault detection method to monitor the state of a - possibly large-scale - linear system, partitioned into interconnected subsystems. The approach hinges on the definition of a partition-based distributed Luenberger-like estimator, based on the local model of the subsystems and that takes into account the dynamic coupling between the subsystems. The pro... View full abstract»

• ### LQ Secure Control for Cyber-Physical Systems Against Sparse Sensor and Actuator Attacks

Publication Year: 2018, Page(s): 1
| | PDF (1099 KB)

This paper investigates the problem of secure control for cyber-physical systems (CPSs) under sensor and actuator attacks. The attacks are assumed to be sparse but arbitrary. The strong detectability under the sparse attacks is characterized by computing the rank of the called structural matrix pencil. An adaptive hybrid control strategy is proposed by automatically excluding the tampered measurem... View full abstract»

• ### Asymptotic Network Robustness

Publication Year: 2018, Page(s): 1
| | PDF (1189 KB)

This paper examines the dependence of network performance measures on network size and considers scaling results for large networks. We connect two performance measures that are well studied, but appear to be unrelated. The first measure is concerned with energy metrics, namely the$H2$-norm of a network, which arises in control theory applications. The second measure ... View full abstract»

• ### An Event-triggered Output-based Model Predictive Control Strategy

Publication Year: 2018, Page(s): 1
| | PDF (538 KB)

In many of today's control systems, the control loop is closed over a communication network with limited resources which requires the explicit consideration of the network utilization in the controller design. At first, this paper deals with the decentralized control of discrete-time linear time-invariant systems consisting of multiple dynamically coupled subsystems subject to state and input cons... View full abstract»

• ### Identification of critical nodes in large-scale spatial networks

Publication Year: 2018, Page(s): 1
| | PDF (769 KB)

The notion of network connectivity is used to characterize the robustness and failure tolerance of networks, with high connectivity being a desirable feature. In this paper, we develop a novel dynamical approach to the problem of identifying critical nodes in large-scale networks, with algebraic connectivity (the second smallest eigenvalue of the graph Laplacian) as the chosen metric. Employing a ... View full abstract»

• ### Regional H$infin$Synchronization of Identical Linear Multi-agent Systems under Input Saturation

Publication Year: 2018, Page(s): 1
| | PDF (1569 KB)

This paper addresses the local synchronization problem of identical linear multi-agent systems subject to input saturation constraints and exogenous disturbances with guaranteed region of attraction. A dynamic output feedback controller is proposed, while the information exchanged through the network is the relative input mismatch of each agent with respect to the neighbors. Using a suitable incre... View full abstract»

• ### Cactus-expandable Graphs

Publication Year: 2018, Page(s): 1
| | PDF (1734 KB)

Cactus graphs, which are connected graphs with no edge contained in two or more different simple cycles, are known to provide useful properties for network systems. Meanwhile, it has been found that a non-cactus graph can be equivalently transformed into a cactus graph by using a conventional technique for simplifying block diagrams. Based on such graph transformation, we can transform a network s... View full abstract»

• ### Safe Multi-Quadcopter System Continuum Deformation over Moving Frames

Publication Year: 2018, Page(s): 1
| | PDF (1032 KB)

This paper proposes a new scalable model for coordination of multiple quadcopter systems by treating collective motion as continuum deformation over a moving frame. The quadcopters are considered as particles in a 2-D deformable body evolving in a 3-D motion space. The 2-D continuum reference frame can arbitrarily translate and rotate in 3-D motion space for maneuverability. Furthermore, a quadcop... View full abstract»

• ### Utilization of Water Supply Networks for Harvesting Renewable Energy

Publication Year: 2018, Page(s): 1
| | PDF (727 KB)

Renewable surplus power is increasing due to the increasing penetration of these intermittent resources. In practice, electric grid operators either curtail the surplus energy resulting from renewable-based generations or utilize energy storage resources to absorb it. In this paper, we propose a framework for utilizing water pumps and tanks in water supply networks to absorb the surplus electrical... View full abstract»

• ### Incentive-Based Control of Asynchronous Best-Response Dynamics on Binary Decision Networks

Publication Year: 2018, Page(s): 1
| | PDF (390 KB)

Various populations of interacting decision-making agents can be modeled by asynchronous best-response dynamics, or equivalently, linear threshold dynamics. Building upon recent convergence results in the absence of control, we now consider how such a network can be efficiently driven to a desired equilibrium state by offering payoff incentives or rewards for using a particular strategy, either un... View full abstract»

• ### Enabling Privacy-preservation in Decentralized Optimization

Publication Year: 2018, Page(s): 1
| | PDF (1697 KB)

Decentralized optimization is crucial for the design, deployment, and functionality of many distributed systems. In this paper, we address the problem of privacy-preservation in decentralized optimization. In most existing decentralized optimization approaches, participating agents exchange and disclose intermediate estimate values to neighboring agents explicitly, which may not be desirable when ... View full abstract»

• ### Finite-time Bearing-only Formation Control via Distributed Global Orientation Estimation

Publication Year: 2018, Page(s): 1
| | PDF (2440 KB)

This paper presents a finite-time bearing-only formation control scheme via finite-time estimation of agents-global orientations. For the orientation estimation, we propose a distributed estimation law and establish almost global finite time convergence. We provide analysis for undirected and a class of directed sensing and communication graphs. A distributed bearing-only formation control law is ... View full abstract»

• ### Simulation-based Distributed Coordination Maximization over Networks

Publication Year: 2018, Page(s): 1
| | PDF (834 KB)

In various multi-agent networked environments, the system can benefit from coordinating actions of two interacting agents at some cost of coordination. In this paper, we first formulate an optimization problem that captures the amount of coordination gain at the cost of node activation over given network structure. In this paper, we propose three simulation-based distributed algorithms, each havin... View full abstract»

• ### Distributed Estimation of State and Parameters in Multi-Agent Cooperative Manipulation

Publication Year: 2018, Page(s): 1
| | PDF (2309 KB)

We present two distributed methods for the estimation of the kinematic parameters, the dynamic parameters, and the kinematic state of an unknown planar body manipulated by a decentralized multi-agent system. The proposed approaches rely on the rigid body kinematics and dynamics, on nonlinear observation theory, and on consensus algorithms. The only three requirements are that each agent can exert ... View full abstract»

• ### Time-Varying Sensor and Actuator Selection for Uncertain Cyber-Physical Systems

Publication Year: 2018, Page(s): 1
| | PDF (2804 KB)

We propose methods to solve time-varying, sensor and actuator (SaA) selection problems for uncertain cyber-physical systems. We show that many SaA selection problems for optimizing a variety of control and estimation metrics can be posed as semidefinite optimization problems with mixed-integer bilinear matrix inequalities (MIBMIs). Although this class of optimization problems are computationally c... View full abstract»

• ### Analysis and Design of Actuation-Sensing-Communication Interconnection Structures towards Secured/Resilient LTI Closed-loop Systems

Publication Year: 2018, Page(s): 1
| | PDF (1208 KB)

We consider the analysis and design of resilient/robust decentralized control systems by assessing how the pairing of sensors and actuators lead to architectures that are resilient to attacks/hacks for complex cyber-physical systems. We exploit the inherent structural properties such as internal fixed modes of a dynamical system depending on actuation, sensing, and interconnection/communication st... View full abstract»

• ### DoS Attacks on Remote State Estimation with Asymmetric Information

Publication Year: 2018, Page(s): 1
| | PDF (2427 KB)

In this paper, we consider remote state estimation in an adversarial environment. A sensor forwards local state estimates to a remote estimator over a vulnerable network, which may be congested by an intelligent denial-of-service (DoS) attacker. It is assumed that the acknowledgement information from the remote estimator to the sensor is hidden from the attacker, which thus leads to asymmetric inf... View full abstract»

• ### Optimization Dynamics: A Bus-Level Distributed Approach for Optimal Power Flows

Publication Year: 2018, Page(s): 1
| | PDF (805 KB)

We propose a continuous-time optimization dynamics approach in this paper to solve the non-convex optimal power flow (OPF) problem. The proposed approach naturally uses the distributed power flow structure for computation. Specifically, each bus in the power network plays as an individual computing agent, which only uses local information to update its own voltage variables as well as Lagrange mul... View full abstract»

• ### On Robustness Analysis of a Dynamic Average Consensus Algorithm to Communication Delay

Publication Year: 2018, Page(s): 1
| | PDF (2346 KB)

This paper studies the robustness of a dynamic average consensus algorithm to communication delay over strongly connected and weight-balanced (SCWB) digraphs. Under delay-free communication, the algorithm of interest achieves practical asymptotic tracking of the dynamic average of the time-varying~agents' reference signals. For this algorithm, in both its continuous-time and discrete-time implemen... View full abstract»

• ### Distributed time-varying output formation control for general linear multi-agent systems with directed topology

Publication Year: 2018, Page(s): 1
| | PDF (1436 KB)

This paper addresses distributed time-varying output formation (TVOF) control problems using an adaptive output-feedback approach for general linear multi-agent systems with directed communication topology. Compared with the previous work on formation control, the multi-agent system can achieve a predefined TVOF via output feedback without using the global information about the directed communicat... 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