<![CDATA[ IEEE Transactions on Cybernetics - new TOC ]]>
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TOC Alert for Publication# 6221036 2019July 18<![CDATA[Table of contents]]>4910C13617170<![CDATA[IEEE Transactions on Cybernetics]]>4910C2C2110<![CDATA[On the Crossroad of Artificial Intelligence: A Revisit to Alan Turing and Norbert Wiener]]>491036183626711<![CDATA[A Complex Varying-Parameter Convergent-Differential Neural-Network for Solving Online Time-Varying Complex Sylvester Equation]]>4910362736392941<![CDATA[A Consistency and Consensus-Based Goal Programming Method for Group Decision-Making With Interval-Valued Intuitionistic Multiplicative Preference Relations]]>491036403654580<![CDATA[Noise-Induced Improvement of the Parkinsonian State: A Computational Study]]>4910365536641797<![CDATA[Stereo Video Object Segmentation Using Stereoscopic Foreground Trajectories]]>https://github.com/shenjianbing/StereoSeg.]]>4910366536761719<![CDATA[Regularized Gaussian Mixture Model for High-Dimensional Clustering]]>${M}$ -step modified to incorporate the regularization. The ${M}$ -step involves a determinant maximization problem, which can be solved efficiently. The performance of the proposed method is demonstrated using several simulated data sets. We also illustrate the potential value of the proposed method in applications using four real data sets.]]>4910367736881177<![CDATA[Event-Based Practical Output Regulation for a Class of Multiagent Nonlinear Systems]]>491036893698686<![CDATA[Memetic Search for Identifying Critical Nodes in Sparse Graphs]]>4910369937122342<![CDATA[<inline-formula> <tex-math notation="LaTeX">$H_infty$ </tex-math></inline-formula> Consensus for Linear Heterogeneous Discrete-Time Multiagent Systems With Output Feedback Control]]>${H}_{infty }$ consensus problem for linear heterogeneous discrete-time multiagent systems (MASs). For a special kind of nonlinear matrix inequality, a novel method is provided to make these inequalities turn into some equivalent conditions that can be solved by utilizing the LMI toolbox. According to this method, a necessary and sufficient condition of ${H}_{infty }$ consensus for linear heterogeneous discrete-time MAS with output feedback control scheme and a corresponding iterative algorithm are proposed, respectively. Moreover, by employing these results, a necessary and sufficient condition that makes a general linear system with one kind of constrained controller achieve ${H}_{infty }$ control is provided. Finally, two numerical examples are given to illustrate the validity of our schemes.]]>491037133721621<![CDATA[A Statistical Study on Parameter Selection of Operators in Continuous State Transition Algorithm]]>4910372237301230<![CDATA[Robust Consensus Nonlinear Information Filter for Distributed Sensor Networks With Measurement Outliers]]>${t}$ process with unknown parameters of the sufficient statistic. The variational Bayesian method is employed to jointly estimate the state and the parameters. As the state and parameters are coupled, the updated equation can be solved by fixed point iteration. The centralized outliers robust information filter is first derived for multiple sensors. It is then extended to a distributed version to fuse information from multiple interconnected local estimators. The integral of the consensus-based nonlinear filter is approximated by Gaussian approximation under the framework of the information filter. The consensuses are based on both likelihoods and prior probability distributions. The consensus and convergence of the proposed method are also analyzed. Simulation results show that the proposed approach is effective in dealing with outliers.]]>4910373137431208<![CDATA[Clothing Landmark Detection Using Deep Networks With Prior of Key Point Associations]]>4910374437542093<![CDATA[Zero-Shot Learning via Latent Space Encoding]]>4910375537661492<![CDATA[Finite-Time Consensus of Opinion Dynamics and its Applications to Distributed Optimization Over Digraph]]>4910376737791365<![CDATA[Fast Learning With Polynomial Kernels]]>4910378037921160<![CDATA[Robust Sliding Mode-Based Learning Control for MIMO Nonlinear Nonminimum Phase System in General Form]]>491037933805987<![CDATA[A Kinematic Model for Swarm Finite-Time Trajectory Tracking]]>491038063815905<![CDATA[Intelligent Safe Driving Methods Based on Hybrid Automata and Ensemble CART Algorithms for Multihigh-Speed Trains]]>4910381638261858<![CDATA[Containment Control for Discrete-Time Multiagent Systems With Communication Delays and Switching Topologies]]>491038273830329<![CDATA[Introducing IEEE Collabratec]]>4910383138312056<![CDATA[Member Get-A-Member (MGM) Program]]>4910383238323457<![CDATA[IEEE Transactions on Cybernetics]]>4910C3C3165<![CDATA[IEEE Transactions on Cybernetics]]>4910C4C4108