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A Flexible Synthesis Framework of Structured Controllers for Networked Systems IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190501
Christian A. Rösinger; Carsten W. SchererWe propose a framework to synthesize a blockdiagonally structured $\mathcal {H}_\infty$ controller that consists of a parametric and a blocktriangular dynamic component. Moreover, we present an application to $\mathcal {H}_\infty$ design with controller constraints that arise from a delayed chained interconnection of subsystems that are, by themselves, described by delayed strongly connected communication

FiniteTime Consensus for Linear Multiagent Systems via EventTriggered Strategy Without Continuous Communication IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190501
Changkun Du; Xiangdong Liu; Wei Ren; Pingli Lu; Haikuo LiuTaking into account multiagent systems with general linear dynamics and directed topologies, the issue of achieving finitetime consensus in a distributed eventtriggered fashion is discussed in this paper. A novel modelbased triggering function, which depends only on local information, is adopted. To ensure the finitetime convergence of the disagreement vector and the triggering error, a dynamic

A Stability Analysis Framework for Multiantenna Multisensor CyberPhysical Systems With RankDeficient Measurement Matrices IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190506
Songfu Cai; Vincent K. N. LauIn this paper, we consider a cyberphysical system, where an unstable dynamic plant is monitored by multiple distributed sensors over a wireless communication network. We propose a systematic stability analysis framework for multisensor cyberphysical systems. The proposed framework provides closedform characterizations of a stability condition for general measurement matrices with rankdeficient

Distributed Convex Optimization on StateDependent Undirected Graphs: Homogeneity Technique IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190506
Huifen Hong; Xinghuo Yu; Wenwu Yu; Dong Zhang; Guanghui WenThis paper investigates the distributed convex optimization problem (DCOP) based on continuoustime multiagent systems under a statedependent graph. The objective is to optimize the sum of local cost functions, each of which is only known by the corresponding agent. First, a piecewise continuous distributed optimization algorithm is proposed, such that all agents reach consensus in finite time and

State Estimation of Multichannel Networked Discrete Event Systems IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190506
Feng Lin; Weilin Wang; Leitao Han; Bin ShenIn a networked discrete event system, communication between a plant and a supervisor/agent is carried out via a wired/wireless communication network, in which communication delays are unavoidable. Hence, how to obtain state estimates under communication delays is an important problem. The existing methods assume that there is only one communication channel and, thus, the firstin, firstout (FIFO)

Convex Relaxations of the Network Flow Problem Under Cycle Constraints IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190508
Madi Zholbaryssov; Alejandro D. DomínguezGarcíaIn this paper, we consider the problem of optimizing the flows in a lossless flow network with additional nonconvex cycle constraints on nodal variables; such constraints appear in several applications, including electric power, water distribution, and natural gas networks. This problem is a nonconvex version of the minimumcost network flow problem (NFP), and to solve it, we propose three different

Distributed ContinuousTime Nonsmooth Convex Optimization With Coupled Inequality Constraints IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190508
Xiuxian Li; Lihua Xie; Yiguang HongThis paper studies distributed convex optimization problems over continuoustime multiagent networks subject to two types of constraints, i.e., local feasible set constraints and coupled inequality constraints, where all involved functions are not necessarily differentiable, only assumed to be convex. In order to solve this problem, a modified primaldual continuoustime algorithm is proposed by projections

Distributed Stopping Criterion for Consensus in the Presence of Delays IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190515
Mangal Prakash; Saurav Talukdar; Sandeep Attree; Vikas Yadav; Murti V. SalapakaLinear consensus protocol is an iterative distributed algorithm with asymptotic convergence guarantees. This paper develops and analyzes an algorithm for agents running linear consensus iterations to detect convergence to consensus within a specified error tolerance in a distributed manner. The distributed stopping criterion allows for timevarying bounded delays in information transmission and reception

How Will the Presence of Autonomous Vehicles Affect the Equilibrium State of Traffic Networks? IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190523
Negar Mehr; Roberto HorowitzIt is known that connected and autonomous vehicles are capable of maintaining shorter headway and distances when they form platoons of vehicles. Thus, such technologies can potentially increase the road capacities of traffic networks. Consequently, it is envisioned that their deployment will also increase the overall network mobility. In this paper, we examine the validity of this expected impact,

On the Robustness of Complex Systems With Multipartitivity Structures Under Node Attacks IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190604
Qing Cai; Sameer Alam; Jiming LiuComplex systems in the real world inevitably suffer from unpredictable perturbations, which can trigger system disasters, wreaking significant economical losses. To exploit the robustness of complex systems in the face of disturbances is of great significance. One of the most useful methods for system robustness analysis comes from the field of complex networks characterized by percolation theories

Adaptive Protocol Design For Distributed Tracking With Relative Output Information: A Distributed FixedTime Observer Approach IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190604
Yuezu Lv; Guanghui Wen; Tingwen HuangThis paper studies fully distributed adaptive protocol design for consensus tracking under leader–follower directed communication graphs, where only relative output information between neighboring agents is available. The main difficulty lies in the coupling between the structural constraint and the nonlinearity of the nominal controller, where the former is introduced by distributed observer design

Dynamic NE Seeking for MultiIntegrator Networked Agents With Disturbance Rejection IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190603
Andrew R. Romano; Lacra PavelIn this paper, we consider game problems played by (multi)integrator agents, subject to external disturbances. We propose Nash equilibrium seeking dynamics based on gradientplay, augmented with a dynamic internalmodel based component, which is a reducedorder observer of the disturbance. We consider single, double, and extensions to multiintegrator agents, in a partialinformation setting, where

Distributed Adaptive TimeVarying Group Formation Tracking for Multiagent Systems With Multiple Leaders on Directed Graphs IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190426
Junyan Hu; Parijat Bhowmick; Alexander LanzonThis paper proposes a fully distributed control protocol that achieves timevarying group formation tracking for linear multiagent systems connected via a directed graph. The group formation tracking often leads to subformations especially when the leaders are placed far apart or they have separate control inputs. In the proposed approach, the followers are distributed into several subgroups and each

Optimal Energy Consumption for Communication, Computation, Caching, and Quality Guarantee IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190426
Faheem Zafari; Jian Li; Kin K. Leung; Don Towsley; Ananthram SwamiEnergy efficiency is a fundamental requirement of modern datacommunication systems, and its importance is reflected in much recent work on performance analysis of system energy consumption. However, most work has only focused on communication and computation costs without accounting for data caching costs. Given the increasing interest in cache networks, this is a serious deficiency. In this paper

Stabilizing Scheduling Policies for Networked Control Systems IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190426
Atreyee Kundu; Daniel E. QuevedoThis paper deals with the problem of allocating communication resources for Networked Control Systems (NCSs). We consider an NCS consisting of a set of discretetime linear timeinvariant plants whose stabilizing feedback loops are closed through a shared communication channel. Due to a limited communication capacity of the channel, not all plants can exchange information with their controllers at

Verification of Delay CoObservability for Discrete Event Systems IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190426
Pan Xu; Shaolong Shu; Feng LinIn this paper, we investigate how to verify delay coobservability for a given discrete event system and its specification language. Delay coobservability is introduced to solve the decentralized nonblocking networked control problem for discrete event systems under nondeterministic communication delays in our previous paper. We first define a set of indistinguishable string collections and transform

Comment on “Detecting Topology Variations in Networks of Linear Dynamical Systems” IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190426
Sandip Roy; Mengran Xue; Giorgio Battistelli; Pietro TesiIn the above paper [1] , the detectability of topology variations in dynamical networks is studied. This note points out that [1, Proposition 2 and Th. 4], which provide networktheoretic conditions for discerning topology variations, require a stronger assumption than controllability of the subsystem dynamics.

Convergence Analysis of Signed Nonlinear Networks IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190426
Hao Chen; Daniel Zelazo; Xiangke Wang; Lincheng ShenThis paper analyzes the convergence properties of signed networks with nonlinear edge functions. We consider diffusively coupled networks comprised of maximal equilibriumindependent passive (MEIP) dynamics on the nodes, and a general class of nonlinear coupling functions on the edges. The first contribution of this paper is to generalize the classical notion of signed networks for graphs with scalar

The Outputs Robustness of Boolean Control Networks via Pinning Control IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190426
Bowen Li; Jianquan Lu; Yang Liu; ZhengGuang WuThe outputs robustness is a property where the outputs of a system are insensitive to disturbances, and the property plays an important role in biological systems or engineering design. This paper presents an approach to analyze the outputs robustness with respect to disturbances (w.r.t. disturbances) for Boolean control networks (BCNs). Based on the wiring digraph of a BCN rather than the state transition

Controlling Parent Systems Through Swarms Using Abstraction IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190218
Kyle Lawson Crandall; Adam M. WickenheiserThis study considers the control of parent–child systems where a parent system is acted on by a set of controllable child systems (i.e., a swarm). Examples of such systems include a swarm of robots pushing an object over a surface, a swarm of aerial vehicles carrying a large load, or a set of endeffectors manipulating an object. In this paper, a general approach for decoupling the swarm from the parent

Performance Measures in Electric Power Networks Under Line Contingencies IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190426
Tommaso Coletta; Philippe JacquodClasses of performance measures expressed in terms of ${\mathcal H}_2$ norms have been recently introduced to quantify the response of coupled dynamical systems to external perturbations. So far, investigations of these performance measures have been restricted to nodal perturbations. Here, we go beyond these earlier works and consider the equally important, but so far neglected case of line perturbations

ObservationDriven Scheduling for Remote Estimation of Two Gaussian Random Variables IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190221
Marcos M. Vasconcelos; Urbashi MitraJoint estimation and scheduling for sensor networks is considered in a system formed by two sensors, a scheduler, and a remote estimator. Each sensor observes distinct Gaussian random variables, which may be correlated. This system can be analyzed as a team decision problem with two agents: the scheduler and the remote estimator. The scheduler observes the output of both sensors and chooses which of

Globally Convergent Distributed Network Localization Using Locally Measured Bearings IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190605
Xiaolei Li; Xiaoyuan Luo; Shiyu ZhaoThis paper studies the problem of bearingbased network localization, which aims to estimate the absolute positions of the nodes in a network by using the internode bearings measured in each node's local reference frame and the absolute positions of a small number of nodes called anchors. In the first part of the paper, we propose a continuoustime localization algorithm, which consists of coupled

Consensus Disturbance Rejection for Linear Multiagent Systems With Directed Switching Communication Topologies IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190305
Peijun Wang; Guanghui Wen; Xinghuo Yu; Wenwu Yu; Yuezu LvThis paper addresses the consensus disturbance rejection problem for multipleinput multipleoutput linear multiagent systems (MASs) with directed fixed as well as switching communication topologies in the presence of deterministic disturbances. Based on the relative output information among neighboring agents, a controller, which incorporates the consensus error estimator, the state estimator with

Differential Privacy for Network Identification IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190611
Vaibhav Katewa; Aranya Chakrabortty; Vijay GuptaWe consider a multiagent linear timeinvariant system whose dynamical model may change from one disturbance event to another. The system is monitored by a control center that collects output measurements from the agents after every event and estimates the eigenvalues of the model to keep track of any adverse impact of the disturbance on its spectral characteristics. Sharing measurements in this way

Distributed Inference of the Multiplex Network Topology of Complex Systems IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190308
Daniel Alberto Burbano Lombana; Randy A. Freeman; Kevin LynchMany natural and engineered systems can be modeled as a set of nonlinear units interacting with each other over a network of interconnections. Often, such interactions occur through different types of functions giving rise to socalled multiplex networks. As an example, two masses can interact through both a spring and a damper. In many practical applications, the multiplex network topology is unknown

Distributed FaultTolerant Control of LargeScale Systems: An Active Fault Diagnosis Approach IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190426
Francesca Boem; Alexander J. Gallo; Davide M. Raimondo; Thomas ParisiniThe paper proposes a methodology to effectively address the increasingly important problem of distributed faulttolerant control for largescale interconnected systems. The approach dealt with combines, in a holistic way, a distributed fault detection and isolation algorithm with a specific tubebased model predictive control scheme. A distributed faulttolerant control strategy is illustrated to guarantee

Stability Conditions for Cluster Synchronization in Networks of Heterogeneous Kuramoto Oscillators IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190308
Tommaso Menara; Giacomo Baggio; Danielle S. Bassett; Fabio PasqualettiIn this paper, we study cluster synchronization in networks of oscillators with heterogenous Kuramoto dynamics, where multiple groups of oscillators with identical phases coexist in a connected network. Cluster synchronization is at the basis of several biological and technological processes; yet, the underlying mechanisms to enable the cluster synchronization of Kuramoto oscillators have remained

Distributed CMeans Clustering Via BroadcastOnly Token Passing IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190411
Luca Faramondi; Gabriele Oliva; Roberto Setola; Christoforos N. HadjicostisThis paper provides an implementation of the $C$ means algorithm in an asynchronous and distributed fashion; specifically, we consider a network of agents, each provided with a piece of information (e.g., data acquired via sensors) and we partition the agents in not mutually exclusive sets such that agents in the same set have similar information; moreover, each set of agents calculates a representative

Truthful Data Quality Elicitation for QualityAware Data Crowdsourcing IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190314
Xiaowen Gong; Ness B. ShroffData crowdsourcing has found a broad range of applications (e.g., environmental monitoring and image classification) by leveraging the “wisdom” of a potentially large crowd of “workers” (e.g., mobile users). A key metric of crowdsourcing is data accuracy, which relies on the quality of the participating workers’ data (e.g., the probability that the data are equal to the ground truth). However, the

False Data Injection and Detection in LQG Systems: A Game Theoretic Approach IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190411
Ruochi Zhang; Parv VenkitasubramaniamCyberphysical systems are vulnerable to false data injection by adversaries who compromise cyber communication links. In this paper, an infinite horizon linear quadratic Gaussian (LQG) system is considered wherein the control inputs transmitted over cyber links are vulnerable to compromise and false data injection by adversaries. The adversarial cyberattack is driven to minimize the performance of

Stability of SIS Spreading Processes in Networks With NonMarkovian Transmission and Recovery IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190314
Masaki Ogura; Victor M. PreciadoAlthough viral spreading processes taking place in networks are often analyzed using Markovian models, in which both the transmission and the recovery times follow exponential distributions, empirical studies show that, in many real scenarios, the distribution of these times is not necessarily exponential. To overcome this limitation, we first introduce a generalized susceptible–infected–susceptible

Sensor Placement for Optimal Control of InfiniteDimensional Systems IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190329
Qiqiang Hou; Andrew ClarkAn important challenge in controlling distributed parameter systems is implementing feedback control laws over an infinitedimensional space. One widely studied approach is to place sensors at a set of discrete locations and then approximate the state feedback using the sensor outputs. This approach naturally raises the question of where the sensors should be located. In this paper, we investigate

Robust Distributed Estimation of the Maximum of a Field IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190327
Sabato Manfredi; David AngeliThis paper deals with the problem of robust distributed sampling of a field in the presence of unreliable sensors/agents. An algorithm is devised to estimate the maximum of the field over the domain spanned by the agents where some of the sensors can sample wrong measurements over a finite time, higher than the maximum field value. Necessary and sufficient conditions are given to guarantee convergence

On the Interaction Between Autonomous MobilityonDemand Systems and the Power Network: Models and Coordination Algorithms IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190617
Federico Rossi; Ramon Iglesias; Mahnoosh Alizadeh; Marco PavoneWe study the interaction between a fleet of electric selfdriving vehicles servicing ondemand transportation requests (referred to as autonomous mobilityondemand, or AMoD, systems) and the electric power network. We propose a joint model that captures the coupling between the two systems stemming from the vehicles’ charging requirements, capturing timevarying customer demand, battery depreciation

Optimal Secure TwoLayer IoT Network Design IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190325
Juntao Chen; Corinne Touati; Quanyan ZhuWith the remarkable growth of the Internet and communication technologies over the past few decades, Internet of Things (IoTs) is enabling the ubiquitous connectivity of heterogeneous physical devices with software, sensors, and actuators. IoT networks are naturally two layers with the cloud and cellular networks coexisting with the underlaid devicetodevice communications. The connectivity of IoTs

Multistage Complex Contagions in Random Multiplex Networks IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190617
Yong Zhuang; Osman YağanComplex contagion models have been developed to understand a wide range of social phenomena, such as adoption of cultural fads, the diffusion of belief, norms, and innovations in social networks, and the rise of collective action to join a riot. Most existing works focus on contagions where individuals’ states are represented by binary variables, and propagation takes place over a single isolated network

Online Optimization as a Feedback Controller: Stability and Tracking IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190325
Marcello Colombino; Emiliano Dall’Anese; Andrey BernsteinThis paper develops and analyzes feedbackbased online optimization methods to regulate the output of a linear time invariant (LTI) dynamical system to the optimal solution of a timevarying convex optimization problem. The design of the algorithm is based on continuoustime primaldual dynamics, properly modified to incorporate feedback from the LTI dynamical system, applied to a proximal augmented

From Dissipativity Theory to Compositional Abstractions of Interconnected Stochastic Hybrid Systems IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190617
Asad Ullah Awan; Majid ZamaniIn this paper, we derive conditions under which compositional abstractions of networks of stochastic hybrid systems can be constructed using the interconnection topology and joint dissipativitytype properties of subsystems and their abstractions. In the proposed framework, the abstraction, itself a stochastic hybrid system (possibly with a lower dimension), can be used as a substitute of the original

TwoWay Gaussian Networks With a Jammer and Decentralized Control IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190617
Curtis McDonald; Fady Alajaji; Serdar YükselWe consider the existence and structure of (zerosum game) Nash equilibria for a twoway network in the presence of an intelligent jammer capable of tapping the channel signals in both directions. We assume that the source and channel noise signals are all Gaussian random variables, where the source signals are independent of each other, while the noise signals are arbitrarily correlated. We show that

Distributed $H_\infty$ Estimation Resilient to Biasing Attacks IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190621
Valery UgrinovskiiWe consider the distributed $H_\infty$ estimation problem with an additional requirement of resilience to biasing attacks. An attack scenario is considered, where an adversary misappropriates some of the observer nodes and injects biasing signals into observer dynamics. This paper proposes a procedure for the derivation of a distributed observer, which endows each node with an attack detector, which

Resilient Consensus Through EventBased Communication IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190621
Yuan Wang; Hideaki IshiiWe consider resilient versions of discretetime multiagent consensus in the presence of faulty or even malicious agents in the network. In particular, we develop eventtriggered update rules that can mitigate the influence of the malicious agents and, at the same time, reduce the communication. Each regular agent updates its state based on a given rule using its neighbors’ information. Only when the

ConstraintCoupled Distributed Optimization: A Relaxation and Duality Approach IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190626
Ivano Notarnicola; Giuseppe NotarstefanoIn this paper, we consider a general challenging distributed optimization setup arising in several important network control applications. Agents of a network want to minimize the sum of local cost functions, each one depending on a local variable, subject to local and coupling constraints, with the latter involving all the decision variables. We propose a novel fully distributed algorithm based on

Motion Feasibility Conditions for Multiagent Control Systems on Lie Groups IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190626
Leonardo J. Colombo; Dimos V. DimarogonasWe study the problem of motion feasibility for multiagent control systems on Lie groups with collisionavoidance constraints. We first consider the problem for kinematic leftinvariant control systems and next, for dynamical control systems given by a lefttrivialized Lagrangian function. Solutions of the kinematic problem give rise to linear combinations of the control inputs in a linear subspace

Distributed ConsensusBased Multitarget Filtering and Its Application in FormationContainment Control IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190702
Ya Zhang; Lucheng Sun; Guoqiang HuThis paper studies a distributed multitarget filtering problem for a sensor network where each sensor can obtain the measurements and system information of some targets while having no knowledge of others. To estimate the states of all targets, a consensus Kalman information filtering algorithm with an adaptive and finitetime matrixweighted consensus strategy is proposed. When the communication network

Reconstructibility Analysis and Observer Design for Boolean Control Networks IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190704
Zhihua Zhang; Thomas Leifeld; Ping ZhangThe reconstructibility analysis and observer design for general Boolean control networks (BCNs) are investigated in this paper. At first, to discriminate reconstructibility from observability, the relationship between different types of observability and reconstructibility existing in the literature is studied. For reconstructibility analysis, explicit and recursive methods are derived. A termination

2019 Index IEEE Transactions on Control of Network Systems Vol. 6 IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20200310
Presents the 2019 subject/author index for this publication.

Table of contents IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20191217
Presents the table of contents for this issue of this publication.

IEEE Transactions on Control of Network Systems IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20191217
Provides a listing of current staff, committee members and society officers.

Distributed Nonlinear Control Design Using Separable Control Contraction Metrics IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20181205
Humberto Stein Shiromoto; Max Revay; Ian R. ManchesterThis paper gives convex conditions for the synthesis of a distributed control system for largescale networked nonlinear dynamic systems. It is shown that the technique of control contraction metrics can be extended to this problem by utilizing separable metric structures, resulting in controllers that only depend on information from local sensors and communications from immediate neighbors. The conditions

Controllability and Observability of Boolean Control Networks via SampledData Control IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20181205
Qunxi Zhu; Yang Liu; Jianquan Lu; Jinde CaoIn this paper, the controllability and observability of sampleddata Boolean control networks (SDBCNs) are investigated. New phenomena are observed in the study of the controllability and observability of SDBCNs. We routinely convert SDBCNs into linear discretetime systems by the semitensor product of matrices. Necessary and sufficient conditions are derived for the controllability of SDBCNs. After

Distributed Orientation Estimation in SO($d$) and Applications to Formation Control and Network Localization IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20181220
ByungHun Lee; SungMo Kang; HyoSung AhnIn this paper, we propose a novel distributed orientation estimation strategy, which is based on the measurements of relative orientations of neighbors, in $d$ dimensional space, where $d \geq 3$ . Since agents do not share a common reference frame, local reference frames are not aligned with each other. Under the proposed orientation estimation law, a rotation matrix that identifies the orientation

Micro Water–Energy Nexus: Optimal DemandSide Management and QuasiConvex Hull Relaxation IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20181220
Qifeng Li; Suhyoun Yu; Ameena S. AlSumaiti; Konstantin TuritsynIn some countries and regions, water distribution and treatment consume a considerable amount of electric energy. This paper investigates the water network's potential ability to provide demand response services to the power grid for the management of renewable resources under the framework of a distributionlevel water–energy nexus (micro WEN). In particular, the hidden controllable water loads, such

Consensus of Higher Order Agents: Robustness and Heterogeneity IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20181220
Dwaipayan Mukherjee; Daniel ZelazoThis paper explores the use of Kharitonov's Theorem on a class of linear multiagent systems. First, we study a network of the $m$ th order ( $m\geq 2$ ) linear uncertain interval plants and provide conditions for achieving fullstate consensus, which relate the stability margins of each agent to the spectrum of the graph Laplacian. Then, a robustness analysis for such systems is presented when an edge

The Impact of Information in Distributed Submodular Maximization IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20181220
David Grimsman; Mohd. Shabbir Ali; João P. Hespanha; Jason R. MardenThe maximization of submodular functions is an NPHard problem for certain subclasses of functions, for which a simple greedy algorithm has been shown to guarantee a solution whose quality is within 1/2 of the optimal. When this algorithm is implemented in a distributed way, agents sequentially make decisions based on the decisions of all previous agents. This work explores how limited access to the

Optimal Induced Spreading of SIS Epidemics in Networks IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20181220
Zhidong He; Piet Van MieghemInduced spreading aims to maximize the infection probabilities of some target nodes by adjusting the nodal infection rates, which can be applied in biochemical and information spreading. We assume that the adjustment of the nodal infection rates has an associated cost and formulate the induced spreading for susceptibleinfectedsusceptible (SIS) epidemics in networks as an optimization problem under

Distributed Optimization for Network Resource Allocation With Nonsmooth Utility Functions IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20181220
Hideaki IidukaThe network utility maximization 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 algorithms

Explicit Computation of Sampling Period in Periodic EventTriggered Multiagent Control Under Limited Data Rate IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20181220
Pian Yu; Dimos V. DimarogonasThis paper investigates the coordination of nonlinear sampleddata multiagent systems subject to a data rate constraint. The purpose is to design resourceefficient communication and control strategies that guarantee exponential synchronization. Two implementation scenarios are considered: the period timetriggered control and the period eventtriggered control. One of the main difficulties of the

Monostability and Bistability of Boolean Networks Using Semitensor Products IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20181220
Shuqi Chen; Yuhu Wu; Matthew Macauley; XiMing SunThis paper investigates the monostability and bistability of Boolean networks using semitensor products (STPs). A theorem characterizing the stability of a Boolean network is presented and then used to develop three new algorithms. The first determines the stability in $O(2^n)$ , a marked improvement of the complexity of $O((2^n1)2^{2.81n})$ , the results from simply using Strassen's recursive algorithm

Robust Power System State Estimation From RankOne Measurements IEEE Trans. Control Netw. Syst. (IF 4.802) Pub Date : 20190104
Gang Wang; Hao Zhu; Georgios B. Giannakis; Jian SunThe 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 (PSSE). In the absence of noise, PSSE is equivalent to solving a system of quadratic equations, which, also related to power flow analysis