<![CDATA[ IEEE Transactions on Cybernetics - new TOC ]]>
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TOC Alert for Publication# 6221036 2018June 21<![CDATA[Table of contents]]>487C11949168<![CDATA[IEEE Transactions on Cybernetics]]>487C2C275<![CDATA[Intuitionistic Multiplicative Group Analytic Hierarchy Process and Its Use in Multicriteria Group Decision-Making]]>487195019621513<![CDATA[A Multiobjective Evolutionary Algorithm Based on Structural and Attribute Similarities for Community Detection in Attributed Networks]]>${S_{A}}$ is proposed and another objective employed is the modularity ${Q}$ . A hybrid representation is used and a neighborhood correction strategy is designed to repair the wrongly assigned genes through making balance between structural and attribute information. Moreover, an effective multi-individual-based mutation operator is designed to guide the evolution toward the good direction. The performance of MOEA-SA is validated on several real Facebook attributed graphs and several ego-networks with multiattribute. Two measurements, namely density ${T}$ and entropy ${E}$ , are used to evaluate the quality of communities obtained. Experimental results demonstrate the effectiveness of MOEA-SA and the systematic comparisons with existing methods show that MOEA-SA can get better values of ${T}$ and ${E}$ in each graph and find more relevant communities with practical meanings. Knee points corresponding to the best compromise solutions are calculated to guide decision makers to make convenient choices.]]>487196319761900<![CDATA[Output-Feedback Control of Unknown Linear Discrete-Time Systems With Stochastic Measurement and Process Noise via Approximate Dynamic Programming]]>487197719881099<![CDATA[Reduced- and Full-Order Observers for Delayed Genetic Regulatory Networks]]>48719892000662<![CDATA[Asymptotic Tracking Controller Design for Nonlinear Systems With Guaranteed Performance]]>a prior knowledge of bounds of uncertain terms is relaxed. Finally, simulation results demonstrate the merits of the proposed controller.]]>487200120111284<![CDATA[Incremental Codebook Adaptation for Visual Representation and Categorization]]>487201220232264<![CDATA[Distributed Parametric Consensus Optimization With an Application to Model Predictive Consensus Problem]]>48720242035779<![CDATA[Delay-Dependent Functional Observer Design for Linear Systems With Unknown Time-Varying State Delays]]>sufficient conditions for the stability of the observer are obtained using the Lyapunov Krasovskii approach, and are expressed in terms of a linear matrix inequality and two rank conditions. The delay-free observer structure is additionally studied and the necessary and sufficient conditions for its stability are obtained. Two descriptive numerical examples and simulation results demonstrate the design procedure and emphasize the effectiveness of the proposed observer design algorithm.]]>487203620481519<![CDATA[Bayesian Random Vector Functional-Link Networks for Robust Data Modeling]]>487204920591120<![CDATA[Cooperative Tracking of Networked Agents With a High-Dimensional Leader: Qualitative Analysis and Performance Evaluation]]>${mathcal {L}_{2}}$ -gain performance is investigated in this paper for a class of multiple agent systems (MASs) in the presence of a single high-dimensional leader. Compared with the traditional models for MASs, the inherent dynamics of the leader are allowed to be different with those of the followers in the present framework, which is thus much more favorable in various practical applications. A new kind of distributed controllers associated with a reduced-order state observer are designed for each follower to track the high-dimensional leader under directed switching topology. With the help of ${M}$ -matrix theory and stability analysis methods of switched systems, some efficient criteria are derived for cooperative consensus tracking of MASs without any external disturbance under directed switching topology. Theoretical analysis is further extended to the case of consensus tracking for MASs subject to unknown external disturbances by showing that, a finite ${mathcal {L}_{2}}$ -gain performance for tracking errors against external disturbances can be ensured if some suitable conditions are satisfied. At last, the synthesis issue of designing an observer-based controller to achieve a prescribed $ {mathcal {L}_{2}}$ -gain performance for consensus tracking is studied by using tools from ${mathcal {H}_{infty }}$ control theory, where the underlying topology is assumed to be undirected and fixed. The effectiveness of theoretical results is verified by performing numerical simulations.]]>487206020731417<![CDATA[Discriminative Joint-Feature Topic Model With Dual Constraints for WCE Classification]]>487207420851297<![CDATA[Towards Occlusion Handling: Object Tracking With Background Estimation]]>487208621004579<![CDATA[Robust Learning With Kernel Mean <inline-formula> <tex-math notation="LaTeX">$p$ </tex-math></inline-formula>-Power Error Loss]]>${p}$ power error (KMPE), including the correntropic loss (C-Loss) as a special case. Some basic properties of KMPE are presented. In particular, we apply the KMPE to extreme learning machine (ELM) and principal component analysis (PCA), and develop two robust learning algorithms, namely ELM-KMPE and PCA-KMPE. Experimental results on synthetic and benchmark data show that the developed algorithms can achieve better performance when compared with some existing methods.]]>487210121132654<![CDATA[POSE: Prediction-Based Opportunistic Sensing for Energy Efficiency in Sensor Networks Using Distributed Supervisors]]>487211421271648<![CDATA[Output Feedback Control and Stabilization for Multiplicative Noise Systems With Intermittent Observations]]>48721282138557<![CDATA[Set-Based Discrete Particle Swarm Optimization Based on Decomposition for Permutation-Based Multiobjective Combinatorial Optimization Problems]]>487213921531937<![CDATA[Privacy Preservation in Distributed Subgradient Optimization Algorithms]]>48721542165627<![CDATA[Distributed Differential Evolution Based on Adaptive Mergence and Split for Large-Scale Optimization]]>487216621801370<![CDATA[Cooperative Output Regulation of LTI Plant via Distributed Observers With Local Measurement]]>48721812191566<![CDATA[Closeness-Centrality-Based Synchronization Criteria for Complex Dynamical Networks With Interval Time-Varying Coupling Delays]]>487219222021226<![CDATA[Thermal Augmented Expression Recognition]]>487220322141913<![CDATA[Introducing IEEE Collabratec]]>487221522152055<![CDATA[Member Get-A-Member (MGM) Program]]>487221622163456<![CDATA[IEEE Transactions on Cybernetics]]>487C3C3165<![CDATA[IEEE Transactions on Cybernetics]]>487C4C496