<![CDATA[ IEEE Transactions on Automatic Control - new TOC ]]>
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TOC Alert for Publication# 9 2016June 30<![CDATA[Table of Contents]]>617C1C455<![CDATA[IEEE Transactions on Automatic Control publication information]]>617C2C239<![CDATA[Scanning the Issue]]>6171709171046<![CDATA[A Randomized Linear Algorithm for Clock Synchronization in Multi-Agent Systems]]>617171117261109<![CDATA[A New Notion of Effective Resistance for Directed Graphs—Part I: Definition and Properties]]>61717271736653<![CDATA[A New Notion of Effective Resistance for Directed Graphs—Part II: Computing Resistances]]>61717371752509<![CDATA[Self-Tuned Stochastic Approximation Schemes for Non-Lipschitzian Stochastic Multi-User Optimization and Nash Games]]>${mathcal O}(1/k)$. A locally randomized variant is also provided to ensure that the scheme can contend with stochastic non-Lipschitzian multi-user problems. We conclude with numerics derived from a stochastic Nash-Cournot game.]]>617175317661020<![CDATA[Robust Distributed Averaging: When are Potential-Theoretic Strategies Optimal?]]>61717671779415<![CDATA[A Common Model for the Approximate Analysis of Tandem Queueing Systems With Blocking]]>617178017931293<![CDATA[Optimal Estimation in UDP-Like Networked Control Systems With Intermittent Inputs: Stability Analysis and Suboptimal Filter Design]]>61717941809847<![CDATA[Simultaneous Identification and Stabilization of Nonlinearly Parameterized Discrete-Time Systems by Nonlinear Least Squares Algorithm]]>61718101823513<![CDATA[Combined Flocking and Distance-Based Shape Control of Multi-Agent Formations]]>617182418371276<![CDATA[Online Network Optimization Using Product-Form Markov Processes]]>617183818531040<![CDATA[Learning a Nonlinear Controller From Data: Theory, Computation, and Experimental Results]]>$ell_{1}$-norm regularized learning algorithm that achieves the stability condition for a finite number of data points. The approach is completely based on convex optimization. The presented technique is finally tested in real-world experiments to control the flight of a tethered flexible wing, which is characterized by highly nonlinear, unstable and uncertain dynamics and is subject to external disturbances.]]>61718541868772<![CDATA[An Equalization Approach to Feedback Stabilization Over Fading Channels]]>${mathcal H}_{2}$ optimal control, and derive the MS stabilizability conditions over linear time-invariant controllers. Our results recover the existing MS stabilizability condition under the state feedback. For output feedback control, we provide a characterization of the minimum network resource for the SNR required to stabilize the networked control system over the fading channel, and develop the synthesis algorithms for design of the orthogonal coding matrix and output feedback controller in different scenarios. Our results show that the MS stabilization problem as formulated in this paper admits the closed-form solution for MIMO plants with unstable block zeros, and is mathematically tractable for more general MIMO plants. Two numerical examples are worked out to illustrate our results.]]>61718691881518<![CDATA[Crowd-Averse Robust Mean-Field Games: Approximation via State Space Extension]]>61718821894888<![CDATA[Equivalence of MIMO Circle Criterion to Existence of Quadratic Lyapunov Function]]>$S$-procedure losslessness ( $S$- theorem) for any number of infinite sector constraints in the complex case. Additionally, the relations between two versions of the MIMO circle criterion are established.]]>61718951899157<![CDATA[Distributional Robustness Analysis for Nonlinear Uncertainty Structures]]>worst-case expected value of a continuous function (worst-case performance) over a class of admissible distributions? In this note, the class of symmetric and non-increasing distributions is considered and results are provided for the class of so-called semi-algebraic functions. The first part of the note shows that, for the class of distributions considered, it suffices to solve a convex optimization problem for which efficient linear matrix inequality (LMI) relaxations are available. Secondly, the proposed approach is applied to estimate hard bounds on the worst-case probability of a semi-algebraic function being negative. Several numerical examples are presented which illustrate the effectiveness of the approach presented.]]>61719001905299<![CDATA[On the Input-Output Distinguishability of Single Output Continuous Linear Time-Invariant Systems]]>61719061911204<![CDATA[Integrability for Nonlinear Time-Delay Systems]]>61719121917166<![CDATA[The Mean-Square Stability Probability of <inline-formula> <img src="/images/tex/516.gif" alt="H_{\infty }"> </inline-formula> Control of Continuous Markovian Jump Systems]]>$H_{infty}$ control problem of continuous Markovian jump systems is investigated. A linear feedback control scheme, combined with a state observer design, is proposed in the form of linear matrix inequalities, which can ensure the systems' mean-square stability with $H_{infty}$ performance. Then, a multi-step state transition conditional probability function is introduced for the continuous Markovian process, which is used to define the system's mean-square stability probability. Furthermore, the formulas for calculating the mean-square stability probability are derived for situations where the control force may not be strong enough to ensure the full stability. Simulation results are presented to show the effectiveness of the theoretical results.]]>61719181924460<![CDATA[Switching Rule Design for Affine Switched Systems With Guaranteed Cost and Uncertain Equilibrium Condition]]>61719251930345<![CDATA[The Extended Conic Sector Theorem]]>61719311937677<![CDATA[Hierarchical Decomposition Based Consensus Tracking for Uncertain Interconnected Systems via Distributed Adaptive Output Feedback Control]]>617193819451643<![CDATA[Low-Complexity Prescribed Performance Control of Uncertain MIMO Feedback Linearizable Systems]]>61719461952436<![CDATA[Characterization of Admissible Marking Sets in Petri Nets with Uncontrollable Transitions]]>61719531958411<![CDATA[A Nonzero Sum Differential Game of BSDE With Time-Delayed Generator and Applications]]>61719591964181<![CDATA[A Convex Characterization of Robust Stability for Positive and Positively Dominated Linear Systems]]>61719651971238<![CDATA[Optimal Filtering for Discrete-Time Linear Systems With Time-Correlated Multiplicative Measurement Noises]]>61719721978534<![CDATA[An Integral-Type Multiple Lyapunov Functions Approach for Switched Nonlinear Systems]]>$p$- normal form is achieved by constructing state-feedback controllers of subsystems and a proper switching law, where the solvability of the problem under study for individual subsystems is not assumed. Two examples are also provided to demonstrate the effectiveness of the proposed design method.]]>61719791986341<![CDATA[Necessary Stability Conditions for Delay Systems With Multiple Pointwise and Distributed Delays]]>617198719941366<![CDATA[Model Reduction by Matching the Steady-State Response of Explicit Signal Generators]]>i.e., they do not satisfy a differential equation, is considered. Particular attention is devoted to discontinuous, possibly periodic, signals. The notion of moment is reformulated using an integral matrix equation. It is shown that, under specific conditions, the new definition and the one based on the Sylvester equation are equivalent. New parameterized families of models achieving moment matching are given. The results are illustrated by means of a numerical example.]]>61719952000259<![CDATA[Constructive Design of Adaptive Controllers for Nonlinear MIMO Systems With Arbitrary Switchings]]>61720012007289<![CDATA[Linear Quadratic Optimal Control of Continuous-Time LTI Systems With Random Input Gains]]>61720082013176<![CDATA[Introducing IEEE Collabratec]]>617201420141909<![CDATA[IEEE Access]]>617201520151021<![CDATA[IEEE Global History Network]]>617201620163149<![CDATA[IEEE Control Systems Society Information]]>617C3C351