# IEEE Transactions on Automatic Control

## Issue 11 • Nov. 2017

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## Filter Results

Displaying Results 1 - 25 of 65

Publication Year: 2017, Page(s):C1 - 5493
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• ### IEEE Control Systems Society

Publication Year: 2017, Page(s): C2
| PDF (144 KB)
• ### Scanning the Issue*

Publication Year: 2017, Page(s):5494 - 5496
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• ### State and Unknown Input Observers for Nonlinear Systems With Bounded Exogenous Inputs

Publication Year: 2017, Page(s):5497 - 5510
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A systematic design methodology for state observers for a large class of nonlinear systems with bounded exogenous inputs (disturbance inputs and sensor noise) is proposed. The nonlinearities under consideration are characterized by an incremental quadratic constraint parameterized by a set of multiplier matrices. Linear matrix inequalities are developed to construct observer gains, which ensure th... View full abstract»

• ### Fixed-Time Synchronization of Complex Networks With Impulsive Effects via Nonchattering Control

Publication Year: 2017, Page(s):5511 - 5521
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Dealing with impulsive effects is one of the most challenging problems in the field of fixed-time control. In this paper, we solve this challenging problem by considering fixed-time synchronization of complex networks (CNs) with impulsive effects. By designing a new Lyapunov function and constructing comparison systems, a sufficient condition formulated by matrix inequalities is given to ensure th... View full abstract»

• ### Decentralized Frank–Wolfe Algorithm for Convex and Nonconvex Problems

Publication Year: 2017, Page(s):5522 - 5537
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Decentralized optimization algorithms have received much attention due to the recent advances in network information processing. However, conventional decentralized algorithms based on projected gradient descent are incapable of handling high-dimensional constrained problems, as the projection step becomes computationally prohibitive. To address this problem, this paper adopts a projection-free op... View full abstract»

• ### Fast Convergence Rates for Distributed Non-Bayesian Learning

Publication Year: 2017, Page(s):5538 - 5553
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We consider the problem of distributed learning, where a network of agents collectively aim to agree on a hypothesis that best explains a set of distributed observations of conditionally independent random processes. We propose a distributed algorithm and establish consistency, as well as a nonasymptotic, explicit, and geometric convergence rate for the concentration of the beliefs around the set ... View full abstract»

• ### Structured Projection-Based Model Reduction With Application to Stochastic Biochemical Networks

Publication Year: 2017, Page(s):5554 - 5566
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The chemical master equation (CME) is well known to provide the highest resolution models of a biochemical reaction network. Unfortunately, even simulating the CME can be a challenging task. For this reason, simpler approximations to the CME have been proposed. In this paper, we focus on one such model, the linear noise approximation (LNA). Specifically, we consider implications of a recently prop... View full abstract»

• ### Adaptive Optimal Control for Large-Scale Nonlinear Systems

Publication Year: 2017, Page(s):5567 - 5577
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In this paper, we present an adaptive optimal control approach applicable to a wide class of large-scale nonlinear systems. The proposed approach avoids the so-called loss-of-stabilizability problem and the problem of poor transient performance that are typically associated with adaptive control designs. Moreover, it does not require the system model to be in a certain parameterized form, and most... View full abstract»

• ### Multiparty Consensus of Linear Heterogeneous Multiagent Systems

Publication Year: 2017, Page(s):5578 - 5589
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In this paper, we investigate the multiparty output consensus of linear heterogeneous agents, in which the outputs of the agents within a party synchronize to each other, but different parties have different synchronized trajectories. To solve this problem, graphs with complex edge weights are used. We provide a sufficient condition for leader-follower multiparty output consensus of linear heterog... View full abstract»

• ### Optimal Estimation With Missing Observations via Balanced Time-Symmetric Stochastic Models

Publication Year: 2017, Page(s):5590 - 5603
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We consider data fusion for the purpose of smoothing and interpolation based on observation records with missing data. Stochastic processes are generated by linear stochastic models. The paper begins by drawing a connection between time reversal in stochastic systems and all-pass extensions. A particular normalization (choice of basis) between the two time-directions allows the two to share the sa... View full abstract»

• ### On Control Lyapunov–Razumikhin Functions, Nonconstant Delays, Nonsmooth Feedbacks, and Nonlinear Sampled-Data Stabilization

Publication Year: 2017, Page(s):5604 - 5619
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A methodology for the design of stabilizers in the sample-and-hold sense for nonlinear retarded systems is provided. The methodology is based on control Lyapunov-Razumikhin functions. Fully nonlinear retarded systems with an arbitrary number of arbitrary time-varying time-delays of discrete and distributed type are covered by the theory developed here, as long as the map describing the dynamics is... View full abstract»

• ### Feedback Stability of Negative Imaginary Systems

Publication Year: 2017, Page(s):5620 - 5633
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This paper extends the robust feedback stability theorem of negative imaginary systems by removing restrictive assumptions on the instantaneous gains of the systems that were imposed in the earlier literature, and it further generalizes this robust analysis result into the case that allows negative imaginary systems to have poles at the origin. In doing so, we extend the class of negative imaginar... View full abstract»

• ### Direct and Indirect Model Reference Adaptive Control for Multivariable Piecewise Affine Systems

Publication Year: 2017, Page(s):5634 - 5649
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This article proposes direct and indirect model reference adaptive control strategies for multivariable piecewise affine systems, which constitute a popular tool to model hybrid systems and approximate nonlinear systems. A chosen reference model, which can be linear or also piecewise affine, describes the desired closed-loop system behavior that is to be achieved by the adaptive controllers for un... View full abstract»

• ### Polar Opinion Dynamics in Social Networks

Publication Year: 2017, Page(s):5650 - 5665
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For decades, scientists have studied opinion formation in social networks, where information travels via word of mouth. The particularly interesting case is when polar opinions-Democrats versus Republicans or iOS versus Android-compete in the network. The central problem is to design and analyze a model that captures how polar opinions evolve in the real world. In this paper, we propose a general ... View full abstract»

• ### A Geometric Characterization of the Persistence of Excitation Condition for the Solutions of Autonomous Systems

Publication Year: 2017, Page(s):5666 - 5677
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The persistence of excitation of signals generated by time-invariant, autonomous, linear, and nonlinear systems is studied using a geometric approach. A rank condition is shown to be equivalent, under certain assumptions, to the persistence of excitation of the solutions of the class of systems considered, both in the discrete-time and in the continuous-time settings. The rank condition is geometr... View full abstract»

• ### Pairwise Stochastic Bounded Confidence Opinion Dynamics: Heavy Tails and Stability

Publication Year: 2017, Page(s):5678 - 5693
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Unlike traditional graph-based linear dynamics, where agents exchange opinions with their neighbors in a static social graph regardless of their differences in opinions, the bounded confidence opinion dynamics models exchange between agents with similar opinions. We generalize the bounded confidence opinion dynamics model by incorporating pairwise stochastic interactions, probabilistic influencing... View full abstract»

• ### Robust Event-Triggered MPC With Guaranteed Asymptotic Bound and Average Sampling Rate

Publication Year: 2017, Page(s):5694 - 5709
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We propose a robust event-triggered model predictive control (MPC) scheme for linear time-invariant discrete-time systems subject to bounded additive stochastic disturbances and hard constraints on the input and state. For given probability distributions of the disturbances acting on the system, we design event conditions such that the average frequency of communication between the controller and ... View full abstract»

• ### Robust $H_{infty }$ Observer-Based Control of Fractional-Order Systems With Gain Parametrization

Publication Year: 2017, Page(s):5710 - 5723
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This paper investigates the robust H∞ observer-based control (OBC) for linear time-invariant disturbed uncertain fractional-order systems (DU-FOS). First, the existence conditions for robust H∞ OBC are given. Then, based on the H∞-norm analysis using the generalized Kalman-Yakubovich-Popov lemma for FOS, and following the fractional derivative ... View full abstract»

• ### Decentralized Prediction-Correction Methods for Networked Time-Varying Convex Optimization

Publication Year: 2017, Page(s):5724 - 5738
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We develop algorithms that find and track the optimal solution trajectory of time-varying convex optimization problems that consist of local and network-related objectives. The algorithms are derived from the prediction-correction methodology, which corresponds to a strategy where the time-varying problem is sampled at discrete time instances, and then, a sequence is generated via alternatively ex... View full abstract»

• ### Robust Online Algorithms for Peak-Minimizing EV Charging Under Multistage Uncertainty

Publication Year: 2017, Page(s):5739 - 5754
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In this paper, we study how to utilize forecasts to design online electrical vehicle (EV) charging algorithms that can attain strong performance guarantees. We consider the scenario of an aggregator serving a large number of EVs together with its background load, using both its own renewable energy (for free) and the energy procured from the external grid. The goal of the aggregator is to minimize... View full abstract»

• ### Reduction of Distributions: Definitions, Properties, and Applications

Publication Year: 2017, Page(s):5755 - 5768
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In this work, a notion of reduction of distributions is proposed as a technical tool for improving the complexity of decomposability verification and supporting parallel verification of decomposability, by exploiting the rich structures of distributions. We provide some results that reduce the search space of candidate reductions, as a first step toward efficiently computing optimal reductions. It... View full abstract»

• ### Stability Properties of Coupled Impedance Passive LTI Systems

Publication Year: 2017, Page(s):5769 - 5779
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We study the stability of the feedback interconnection of two impedance passive linear time-invariant systems, of which one is finite dimensional. The closed-loop system is well known to be impedance passive, but no stability properties follow from this alone. We are interested in two main issues: 1) the strong stability of the operator semigroup associated with the closed-loop system, 2) the inpu... View full abstract»

• ### On the Output of Nonlinear Systems Excited by Discrete Prolate Spheroidal Sequences

Publication Year: 2017, Page(s):5780 - 5787
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The discrete prolate spheroidal sequences (DPSSs)- a set of optimally bandlimited sequences with unique properties- are important to applications in both science and engineering. In this work, properties of nonlinear system response due to DPSS excitation are reported. In particular, the sequences are shown to be approximately orthogonal after passing through a nonlinear, multiple-input multiple-o... View full abstract»

• ### Distributed Velocity-Constrained Consensus of Discrete-Time Multi-Agent Systems With Nonconvex Constraints, Switching Topologies, and Delays

Publication Year: 2017, Page(s):5788 - 5794
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In this technical note, a distributed velocity-constrained consensus problem is studied for discrete-time multi-agent systems, where each agent's velocity is constrained to lie in a nonconvex set. A distributed constrained control algorithm is proposed to enable all agents to converge to a common point using only local information. The gains of the algorithm for all agents need not to be the same ... View full abstract»

## Aims & Scope

In the IEEE Transactions on Automatic Control, the IEEE Control Systems Society publishes high-quality papers on the theory, design, and applications of control engineering.  Two types of contributions are regularly considered

Full Aims & Scope

## Meet Our Editors

Editor-in-Chief
P. J. Antsaklis
Dept. Electrical Engineering
University of Notre Dame