Volume 46 Issue 10 • Oct. 2016
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Table of contents
Publication Year: 2016, Page(s): C1|
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IEEE Transactions on Cybernetics
Publication Year: 2016, Page(s): C2|
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Adaptive Elastic Echo State Network for Multivariate Time Series Prediction
Publication Year: 2016, Page(s):2173 - 2183Echo state network (ESN) is a new kind of recurrent neural network with a randomly generated reservoir structure and an adaptable linear readout layer. It has been widely employed in the field of time series prediction. However, when high-dimensional reservoirs are utilized to predict multivariate time series, there may be a collinearity problem. In this paper, to overcome the collinearity problem... View full abstract»
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Stochastic Opposition-Based Learning Using a Beta Distribution in Differential Evolution
Publication Year: 2016, Page(s):2184 - 2194
Cited by: Papers (6)Since it first appeared, differential evolution (DE), one of the most successful evolutionary algorithms, has been studied by many researchers. Theoretical and empirical studies of the parameters and strategies have been conducted, and numerous variants have been proposed. Opposition-based DE (ODE), one of such variants, combines DE with opposition-based learning (OBL) to obtain a high-quality sol... View full abstract»
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Redesigned Predictive Event-Triggered Controller for Networked Control System With Delays
Publication Year: 2016, Page(s):2195 - 2206Event-triggered control (ETC) is a control strategy which can effectively reduce communication traffic in control networks. In the case where communication resources are scarce, ETC plays an important role in updating and communicating data. When network-induced delays are involved, two unsynchronized phenomena will appear if the existing ETC strategy, designed for networked control systems (NCSs)... View full abstract»
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Dynamic Task Performance, Cohesion, and Communications in Human Groups
Publication Year: 2016, Page(s):2207 - 2219
Cited by: Papers (2)In the study of the behavior of human groups, it has been observed that there is a strong interaction between the cohesiveness of the group, its performance when the group has to solve a task, and the patterns of communication between the members of the group. Developing mathematical and computational tools for the analysis and design of task-solving groups that are not only cohesive but also perf... View full abstract»
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Classifying Discriminative Features for Blur Detection
Publication Year: 2016, Page(s):2220 - 2227
Cited by: Papers (6)Blur detection in a single image is challenging especially when the blur is spatially-varying. Developing discriminative blur features is an open problem. In this paper, we propose a new kernel-specific feature vector consisting of the information of a blur kernel and the information of an image patch. Specifically, the kernel specific-feature is composed of the multiplication of the variance of f... View full abstract»
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Novel Fuzzy Modeling and Synchronization of Chaotic Systems With Multinonlinear Terms by Advanced Ge-Li Fuzzy Model
Publication Year: 2016, Page(s):2228 - 2237
Cited by: Papers (3)Ge and Li proposed an alternative strategy to model and synchronize two totally different nonlinear systems in the end of 2011, which provided a new version for fuzzy modeling and has been applied to several fields to simplify their modeling works and solve the mismatch problems [1]-[17]. However, the proposed model limits the number of nonlinear terms in each equation so that this model could not... View full abstract»
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Particle Swarm Optimization With Interswarm Interactive Learning Strategy
Publication Year: 2016, Page(s):2238 - 2251
Cited by: Papers (11)The learning strategy in the canonical particle swarm optimization (PSO) algorithm is often blamed for being the primary reason for loss of diversity. Population diversity maintenance is crucial for preventing particles from being stuck into local optima. In this paper, we present an improved PSO algorithm with an interswarm interactive learning strategy (IILPSO) by overcoming the drawbacks of the... View full abstract»
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Structure Sensitive Hashing With Adaptive Product Quantization
Publication Year: 2016, Page(s):2252 - 2264
Cited by: Papers (15)Hashing has been proved as an attractive solution to approximate nearest neighbor search, owing to its theoretical guarantee and computational efficiency. Though most of prior hashing algorithms can achieve low memory and computation consumption by pursuing compact hash codes, however, they are still far beyond the capability of learning discriminative hash functions from the data with complex inh... View full abstract»
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Automated GPR Rebar Analysis for Robotic Bridge Deck Evaluation
Publication Year: 2016, Page(s):2265 - 2276
Cited by: Papers (3)Ground penetrating radar (GPR) is used to evaluate deterioration of reinforced concrete bridge decks based on measuring signal attenuation from embedded rebar. The existing methods for obtaining deterioration maps from GPR data often require manual interaction and offsite processing. In this paper, a novel algorithm is presented for automated rebar detection and analysis. We test the process with ... View full abstract»
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Genetic Learning Particle Swarm Optimization
Publication Year: 2016, Page(s):2277 - 2290
Cited by: Papers (16)Social learning in particle swarm optimization (PSO) helps collective efficiency, whereas individual reproduction in genetic algorithm (GA) facilitates global effectiveness. This observation recently leads to hybridizing PSO with GA for performance enhancement. However, existing work uses a mechanistic parallel superposition and research has shown that construction of superior exemplars in PSO is ... View full abstract»
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Security Games With Unknown Adversarial Strategies
Publication Year: 2016, Page(s):2291 - 2299
Cited by: Papers (8)The security community has witnessed a significant increase in the number of different types of security threats. This situation calls for the design of new techniques that can be incorporated into security protocols to meet these challenges successfully. An important tool for developing new security protocols as well as estimating their effectiveness is game theory. This game theory framework usu... View full abstract»
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Synchronization of a Class of Switched Neural Networks with Time-Varying Delays via Nonlinear Feedback Control
Publication Year: 2016, Page(s):2300 - 2310
Cited by: Papers (6)This paper is concerned with the synchronization problem for a class of switched neural networks (SNNs) with time-varying delays. First, a new crucial lemma which includes and extends the classical exponential stability theorem is constructed. Then by using the lemma, new algebraic criteria of ψ-type synchronization (synchronization with general decay rate) for SNNs are established via the ... View full abstract»
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Saturated Nussbaum Function Based Approach for Robotic Systems With Unknown Actuator Dynamics
Publication Year: 2016, Page(s):2311 - 2322
Cited by: Papers (26)This paper presents a saturated Nussbaum function based approach for robotic systems with unknown actuator dynamics. To eliminate the effect of the control shock from the traditional Nussbaum function, a new type of the saturated Nussbaum function is developed with the idea of time-elongation. Moreover, by exploiting properties of the proposed Nussbaum function, a promising theorem is established ... View full abstract»
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Hierarchical Model Predictive Image-Based Visual Servoing of Underwater Vehicles With Adaptive Neural Network Dynamic Control
Publication Year: 2016, Page(s):2323 - 2334
Cited by: Papers (11)This paper proposes a hierarchical image-based visual servoing (IBVS) strategy for dynamic positioning of a fully actuated underwater vehicle. In the kinematic loop, the desired velocity is generated by a nonlinear model predictive controller, which optimizes a cost function of the predicted image trajectories under the constraints of visibility and velocity. A velocity reference model, representi... View full abstract»
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Biologically Inspired Model for Visual Cognition Achieving Unsupervised Episodic and Semantic Feature Learning
Publication Year: 2016, Page(s):2335 - 2347
Cited by: Papers (6)Recently, many biologically inspired visual computational models have been proposed. The design of these models follows the related biological mechanisms and structures, and these models provide new solutions for visual recognition tasks. In this paper, based on the recent biological evidence, we propose a framework to mimic the active and dynamic learning and recognition process of the primate vi... View full abstract»
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Formation Control With Size Scaling Via a Complex Laplacian-Based Approach
Publication Year: 2016, Page(s):2348 - 2359
Cited by: Papers (4)We consider the control of formations of a leader-follower network, where the objective is to steer a team of multiple mobile agents into a formation of variable size. We assume that the shape description of the formation is known to all the agents, which is captured by a complex-valued Laplacian associated with the sensing graph, but the size scaling of the formation is not known or only known to... View full abstract»
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Nonsmooth Finite-Time Synchronization of Switched Coupled Neural Networks
Publication Year: 2016, Page(s):2360 - 2371
Cited by: Papers (22)This paper is concerned with the finite-time synchronization (FTS) issue of switched coupled neural networks with discontinuous or continuous activations. Based on the framework of nonsmooth analysis, some discontinuous or continuous controllers are designed to force the coupled networks to synchronize to an isolated neural network. Some sufficient conditions are derived to ensure the FTS by utili... View full abstract»
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A Hybrid Approach to Clustering in Big Data
Publication Year: 2016, Page(s):2372 - 2385
Cited by: Papers (7)Clustering of big data has received much attention recently. In this paper, we present a new clusiVAT algorithm and compare it with four other popular data clustering algorithms. Three of the four comparison methods are based on the well known, classical batch k-means model. Specifically, we use k-means, single pass k-means, online k-means, and clustering using representatives (CURE) for numerical... View full abstract»
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Adaptive Task-Space Cooperative Tracking Control of Networked Robotic Manipulators Without Task-Space Velocity Measurements
Publication Year: 2016, Page(s):2386 - 2398
Cited by: Papers (5)In this paper, the task-space cooperative tracking control problem of networked robotic manipulators without task-space velocity measurements is addressed. To overcome the problem without task-space velocity measurements, a novel task-space position observer is designed to update the estimated task-space position and to simultaneously provide the estimated task-space velocity, based on which an ad... View full abstract»
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Member Get-A-Member (MGM) Program
Publication Year: 2016, Page(s): 2399|
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Introducing IEEE Collabratec
Publication Year: 2016, Page(s): 2400|
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IEEE Transactions on Cybernetics
Publication Year: 2016, Page(s): C3|
PDF (152 KB)
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IEEE Transactions on Cybernetics
Publication Year: 2016, Page(s): C4|
PDF (156 KB)
Aims & Scope
The scope of the IEEE Transactions on Cybernetics includes computational approaches to the field of cybernetics.
Meet Our Editors
Editor-in-Chief
Prof. Jun Wang
Dept. of Computer Science
City University of Hong Kong
Kowloon Tong, Kowloon, Hong Kong
Tel: +852 34429701
Email: jwang.cs@cityu.edu.hk