IEEE Transactions on Cybernetics

Volume 48 Issue 7 • July 2018

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Displaying Results 1 - 25 of 27

Publication Year: 2018, Page(s):C1 - 1949
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• IEEE Transactions on Cybernetics

Publication Year: 2018, Page(s): C2
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• Intuitionistic Multiplicative Group Analytic Hierarchy Process and Its Use in Multicriteria Group Decision-Making

Publication Year: 2018, Page(s):1950 - 1962
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As an extension of multiplicative preference relations (MPRs), intuitionistic MPRs (IMPRs) reflect experts' hesitant quantitative judgments. This paper presents an intuitionistic multiplicative preference information-based group analytic hierarchy process (AHP) and develops an intuitionistic multiplicative group AHP (IMGAHP), which addresses multicriteria group decision-making (MCGDM) that uses IM... View full abstract»

• A Multiobjective Evolutionary Algorithm Based on Structural and Attribute Similarities for Community Detection in Attributed Networks

Publication Year: 2018, Page(s):1963 - 1976
Cited by:  Papers (2)
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Most of the existing community detection algorithms are based on vertex connectivity. While in many real networks, each vertex usually has one or more attributes describing its properties which are often homogeneous in a cluster. Such networks can be modeled as attributed graphs, whose attributes sometimes are equally important to topological structure in graph clustering. One important challenge ... View full abstract»

• Output-Feedback Control of Unknown Linear Discrete-Time Systems With Stochastic Measurement and Process Noise via Approximate Dynamic Programming

Publication Year: 2018, Page(s):1977 - 1988
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This paper studies the optimal output-feedback control problem for unknown linear discrete-time systems with stochastic measurement and process noise. A dithered Bellman equation with the innovation covariance matrix is constructed via the expectation operator given in the form of a finite summation. On this basis, an output-feedback-based approximate dynamic programming method is developed, where... View full abstract»

• Reduced- and Full-Order Observers for Delayed Genetic Regulatory Networks

Publication Year: 2018, Page(s):1989 - 2000
Cited by:  Papers (1)
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This paper is centered upon the state estimation for delayed genetic regulatory networks. Our aim is at estimating the concentrations of mRNAs and proteins by designing reduced-order and full-order state observers based on available network outputs. We introduce a Lyapunov-Krasovskii functional including quadruplicate integrals, and estimate its derivative by employing the Wirtinger-type integral ... View full abstract»

• Asymptotic Tracking Controller Design for Nonlinear Systems With Guaranteed Performance

Publication Year: 2018, Page(s):2001 - 2011
Cited by:  Papers (3)
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In this paper, a novel adaptive control strategy is presented for the tracking control of a class of multi-input-multioutput uncertain nonlinear systems with external disturbances to place user-defined time-varying constraints on the system state. Our contribution includes a step forward beyond the usual stabilization result to show that the states of the plant converge asymptotically, as well as ... View full abstract»

• Incremental Codebook Adaptation for Visual Representation and Categorization

Publication Year: 2018, Page(s):2012 - 2023
Cited by:  Papers (3)
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The bag-of-visual-words model is widely used for visual content analysis. For visual data, the codebook plays an important role for efficient representation. However, the codebook has to be relearned with the changes of training images. Once the codebook is changed, the encoding parameters of local features have to be recomputed. To alleviate this problem, in this paper, we propose an incremental ... View full abstract»

• Distributed Parametric Consensus Optimization With an Application to Model Predictive Consensus Problem

Publication Year: 2018, Page(s):2024 - 2035
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In this paper, we study a special class of distributed convex optimization problems-distributed parametric consensus optimization problem (DPCOP), for which a two-stage optimization method including primal decomposition and distributed consensus is provided. Different from traditional distributed optimization problems driving all the local states to a common value, DPCOP aims to solve a system-wid... View full abstract»

• Delay-Dependent Functional Observer Design for Linear Systems With Unknown Time-Varying State Delays

Publication Year: 2018, Page(s):2036 - 2048
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Partial state estimation has numerous applications in practice. Nevertheless, designing delay-dependent functional observers (FOs) for systems with unknown time delays is rigorous and still an open dilemma. This paper addresses the problem for linear time-invariant systems with state time-varying delays. The delay is assumed to be bounded in an interval with a bounded derivative. A sliding mode FO... View full abstract»

• Bayesian Random Vector Functional-Link Networks for Robust Data Modeling

Publication Year: 2018, Page(s):2049 - 2059
Cited by:  Papers (2)
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Random vector functional-link (RVFL) networks are randomized multilayer perceptrons with a single hidden layer and a linear output layer, which can be trained by solving a linear modeling problem. In particular, they are generally trained using a closed-form solution of the (regularized) least-squares approach. This paper introduces several alternative strategies for performing full Bayesian infer... View full abstract»

• Cooperative Tracking of Networked Agents With a High-Dimensional Leader: Qualitative Analysis and Performance Evaluation

Publication Year: 2018, Page(s):2060 - 2073
Cited by:  Papers (3)
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Cooperative consensus tracking and its L2-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 ... View full abstract»

• Discriminative Joint-Feature Topic Model With Dual Constraints for WCE Classification

Publication Year: 2018, Page(s):2074 - 2085
Cited by:  Papers (1)
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Wireless capsule endoscopy (WCE) enables clinicians to examine the digestive tract without any surgical operations, at the cost of a large amount of images to be analyzed. The main challenge for automatic computer-aided diagnosis arises from the difficulty of robust characterization of these images. To tackle this problem, a novel discriminative joint-feature topic model (DJTM) with dual constrain... View full abstract»

• Towards Occlusion Handling: Object Tracking With Background Estimation

Publication Year: 2018, Page(s):2086 - 2100
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The appearance model of the target needs to be updated for online single object tracking. However, the variation of the observation can be caused by active appearance change of the target, or the occlusion from the background. For the former case, we should update the appearance model and for the latter, the current model should be preserved. In this paper, we distinguish these two cases and resis... View full abstract»

• Robust Learning With Kernel Mean$p$-Power Error Loss

Publication Year: 2018, Page(s):2101 - 2113
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Correntropy is a second order statistical measure in kernel space, which has been successfully applied in robust learning and signal processing. In this paper, we define a non-second order statistical measure in kernel space, called the kernel mean-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 ... View full abstract»

• POSE: Prediction-Based Opportunistic Sensing for Energy Efficiency in Sensor Networks Using Distributed Supervisors

Publication Year: 2018, Page(s):2114 - 2127
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This paper presents a distributed supervisory control algorithm that enables opportunistic sensing for energy-efficient target tracking in a sensor network. The algorithm called Prediction-based Opportunistic Sensing (POSE), is a distributed node-level energy management approach for minimizing energy usage. Distributed sensor nodes in the POSE network self-adapt to target trajectories by enabling ... View full abstract»

• Output Feedback Control and Stabilization for Multiplicative Noise Systems With Intermittent Observations

Publication Year: 2018, Page(s):2128 - 2138
Cited by:  Papers (1)
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This paper mainly focuses on the optimal output feedback control and stabilization problems for discrete-time multiplicative noise system with intermittent observations. The main contributions of this paper can be concluded as follows. First, different from the previous literatures, this paper overcomes the barrier of the celebrated separation principle for stochastic control problems of multiplic... View full abstract»

• Set-Based Discrete Particle Swarm Optimization Based on Decomposition for Permutation-Based Multiobjective Combinatorial Optimization Problems

Publication Year: 2018, Page(s):2139 - 2153
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This paper studies a specific class of multiobjective combinatorial optimization problems (MOCOPs), namely the permutation-based MOCOPs. Many commonly seen MOCOPs, e.g., multiobjective traveling salesman problem (MOTSP), multiobjective project scheduling problem (MOPSP), belong to this problem class and they can be very different. However, as the permutation-based MOCOPs share the inherent similar... View full abstract»

• Privacy Preservation in Distributed Subgradient Optimization Algorithms

Publication Year: 2018, Page(s):2154 - 2165
Cited by:  Papers (1)
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In this paper, some privacy-preserving features for distributed subgradient optimization algorithms are considered. Most of the existing distributed algorithms focus mainly on the algorithm design and convergence analysis, but not the protection of agents' privacy. Privacy is becoming an increasingly important issue in applications involving sensitive information. In this paper, we first show that... View full abstract»

• Distributed Differential Evolution Based on Adaptive Mergence and Split for Large-Scale Optimization

Publication Year: 2018, Page(s):2166 - 2180
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Nowadays, large-scale optimization problems are ubiquitous in many research fields. To deal with such problems efficiently, this paper proposes a distributed differential evolution with adaptive mergence and split (DDE-AMS) on subpopulations. The novel mergence and split operators are designed to make full use of limited population resource, which is important for large-scale optimization. They ar... View full abstract»

• Cooperative Output Regulation of LTI Plant via Distributed Observers With Local Measurement

Publication Year: 2018, Page(s):2181 - 2191
Cited by:  Papers (1)
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Over the last decades, distributed output regulation problems have received much consideration due to its extensively applications in real world practices. Traditionally, it is assumed that each node obtains the same signal. However, an important observation is that each agent possesses different measurement due to the observability or configuration of the systems. To solve the output regulation p... View full abstract»

• Closeness-Centrality-Based Synchronization Criteria for Complex Dynamical Networks With Interval Time-Varying Coupling Delays

Publication Year: 2018, Page(s):2192 - 2202
Cited by:  Papers (1)
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This paper investigates synchronization in complex dynamical networks (CDNs) with interval time-varying delays. The CDNs are representative of systems composed of a large number of interconnected dynamical units, and for the purpose of the mathematical analysis, the leading work is to model them as graphs whose nodes represent the dynamical units. At this time, we take note of the importance of ea... View full abstract»

• Thermal Augmented Expression Recognition

Publication Year: 2018, Page(s):2203 - 2214
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Visible facial images provide geometric and appearance patterns of facial expressions and are sensitive to illumination changes. Thermal facial images record facial temperature distribution and are robust to light conditions. Therefore, expression recognition is enhanced by visible and thermal image fusion. In most cases, only visible images are available due to the widespread popularity of visibl... View full abstract»

• Introducing IEEE Collabratec

Publication Year: 2018, Page(s): 2215
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• Member Get-A-Member (MGM) Program

Publication Year: 2018, Page(s): 2216
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Aims & Scope

The scope of the IEEE Transactions on Cybernetics includes computational approaches to the field of cybernetics.

Full Aims & Scope

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