# IEEE Transactions on Cybernetics

## Volume 48 Issue 8 • Aug. 2018

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## Filter Results

Displaying Results 1 - 25 of 28

Publication Year: 2018, Page(s):C1 - 2217
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• ### IEEE Transactions on Cybernetics

Publication Year: 2018, Page(s): C2
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• ### Discriminative Transformation Learning for Fuzzy Sparse Subspace Clustering

Publication Year: 2018, Page(s):2218 - 2231
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This paper develops a novel iterative framework for subspace clustering (SC) in a learned discriminative feature domain. This framework consists of two modules of fuzzy sparse SC and discriminative transformation learning. In the first module, fuzzy latent labels containing discriminative information and latent representations capturing the subspace structure will be simultaneously evaluated in a ... View full abstract»

• ### A Flexible Terminal Approach to Sampled-Data Exponentially Synchronization of Markovian Neural Networks With Time-Varying Delayed Signals

Publication Year: 2018, Page(s):2232 - 2244
Cited by:  Papers (1)
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This paper investigates the problem of sampled-data (SD) exponentially synchronization for a class of Markovian neural networks with time-varying delayed signals. Based on the tunable parameter and convex combination computational method, a new approach named flexible terminal approach is proposed to reduce the conservatism of delay-dependent synchronization criteria. The SD subject to stochastic ... View full abstract»

• ### A Novel Integer-Coded Memetic Algorithm for the Set$k$-Cover Problem in Wireless Sensor Networks

Publication Year: 2018, Page(s):2245 - 2258
Cited by:  Papers (2)
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The Set k-Cover problem aims to partition a set of nodes for the maximal number of covers. This problem is crucial for extending the lifetime of wireless sensor networks (WSNs) under the constraint of covering all targets. More specifically, the Set k-Cover problem enables partitioning the set of sensors into several covers over all targets and activating the covers by turns to effectively extend ... View full abstract»

• ### Scaled Group Consensus in Multiagent Systems With First/Second-Order Continuous Dynamics

Publication Year: 2018, Page(s):2259 - 2271
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We investigate scaled group consensus problems of multiagent systems with first/second-order linear continuous dynamics. For a complex network consisting of two subnetworks with different physical quantities or task distributions, it is concerned with this case that the agents' states in one subnetwork converge to a consistent value asymptotically, while the states in the other subnetwork approach... View full abstract»

• ### A Random Walk Approach to Query Informative Constraints for Clustering

Publication Year: 2018, Page(s):2272 - 2283
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This paper presents a random walk approach to the problem of querying informative constraints for clustering. The proposed method is based on the properties of the commute time, that is the expected time taken for a random walk to travel between two nodes and return, on the adjacency graph of data. Commute time has the nice property of that, the more short paths connect two given nodes in a graph,... View full abstract»

• ### Semantic Feature Learning for Heterogeneous Multitask Classification via Non-Negative Matrix Factorization

Publication Year: 2018, Page(s):2284 - 2293
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Multitask learning (MTL) aims to learn multiple related tasks simultaneously instead of separately to improve the generalization performance of each task. Most existing MTL methods assumed that the multiple tasks to be learned have the same feature representation. However, this assumption may not hold for many real-world applications. In this paper, we study the problem of MTL with heterogeneous f... View full abstract»

• ### Fixation Prediction and Visual Priority Maps for Biped Locomotion

Publication Year: 2018, Page(s):2294 - 2306
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This paper presents an analysis of the low-level features and key spatial points used by humans during locomotion over diverse types of terrain. Although, a number of methods for creating saliency maps and task-dependent approaches have been proposed to estimate the areas of an image that attract human attention, none of these can straightforwardly be applied to sequences captured during locomotio... View full abstract»

• ### A Study on the Security Levels of Spread-Spectrum Embedding Schemes in the WOA Framework

Publication Year: 2018, Page(s):2307 - 2320
Cited by:  Papers (3)
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Security analysis is a very important issue for digital watermarking. Several years ago, according to Kerckhoffs' principle, the famous four security levels, namely insecurity, key security, subspace security, and stego-security, were defined for spread-spectrum (SS) embedding schemes in the framework of watermarked-only attack. However, up to now there has been little application of the definitio... View full abstract»

• ### An Enhanced Decomposition-Based Evolutionary Algorithm With Adaptive Reference Vectors

Publication Year: 2018, Page(s):2321 - 2334
Cited by:  Papers (2)
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Multiobjective optimization problems with more than three objectives are commonly referred to as many-objective optimization problems (MaOPs). Development of algorithms to solve MaOPs has garnered significant research attention in recent years. “Decomposition” is a commonly adopted approach toward this aim, wherein the problem is divided into a set of simpler subproblems guided by a set of referen... View full abstract»

• ### A Decomposition-Based Many-Objective Evolutionary Algorithm With Two Types of Adjustments for Direction Vectors

Publication Year: 2018, Page(s):2335 - 2348
Cited by:  Papers (1)
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Decomposition-based multiobjective evolutionary algorithm has shown its advantage in addressing many-objective optimization problem (MaOP). To further improve its convergence on MaOPs and its diversity for MaOPs with irregular Pareto fronts (PFs, e.g., degenerate and disconnected ones), we proposed a decomposition-based many-objective evolutionary algorithm with two types of adjustments for the di... View full abstract»

• ### Fully Distributed Adaptive Consensus Control of a Class of High-Order Nonlinear Systems With a Directed Topology and Unknown Control Directions

Publication Year: 2018, Page(s):2349 - 2356
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In this paper, we investigate the adaptive consensus control for a class of high-order nonlinear systems with different unknown control directions where communications among the agents are represented by a directed graph. Based on backstepping technique, a fully distributed adaptive control approach is proposed without using global information of the topology. Meanwhile, a novel Nussbaum-type func... View full abstract»

• ### Simultaneous Observation of Hybrid States for Cyber-Physical Systems: A Case Study of Electric Vehicle Powertrain

Publication Year: 2018, Page(s):2357 - 2367
Cited by:  Papers (17)
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As a typical cyber-physical system (CPS), electrified vehicle becomes a hot research topic due to its high efficiency and low emissions. In order to develop advanced electric powertrains, accurate estimations of the unmeasurable hybrid states, including discrete backlash nonlinearity and continuous half-shaft torque, are of great importance. In this paper, a novel estimation algorithm for simultan... View full abstract»

• ### Probabilistic Regularized Extreme Learning Machine for Robust Modeling of Noise Data

Publication Year: 2018, Page(s):2368 - 2377
Cited by:  Papers (1)
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The extreme learning machine (ELM) has been extensively studied in the machine learning field and has been widely implemented due to its simplified algorithm and reduced computational costs. However, it is less effective for modeling data with non-Gaussian noise or data containing outliers. Here, a probabilistic regularized ELM is proposed to improve modeling performance with data containing non-G... View full abstract»

• ### Fuzzy Finite-Time Command Filtered Control of Nonlinear Systems With Input Saturation

Publication Year: 2018, Page(s):2378 - 2387
Cited by:  Papers (1)
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This paper considers the fuzzy finite-time tracking control problem for a class of nonlinear systems with input saturation. A novel fuzzy finite-time command filtered backstepping approach is proposed by introducing the fuzzy finite-time command filter, designing the new virtual control signals and the modified error compensation signals. The proposed approach not only holds the advantages of the ... View full abstract»

• ### A Diversity-Enhanced Resource Allocation Strategy for Decomposition-Based Multiobjective Evolutionary Algorithm

Publication Year: 2018, Page(s):2388 - 2401
Cited by:  Papers (1)
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The multiobjective evolutionary algorithm (MOEA) based on decomposition transforms a multiobjective optimization problem into a set of aggregated subproblems and then optimizes them collaboratively. Since these subproblems usually have different degrees of difficulty, resource allocation (RA) strategies have been reported to enhance performance, attempting to dynamically assign proper amounts of c... View full abstract»

• ### Fuzzy Sparse Autoencoder Framework for Single Image Per Person Face Recognition

Publication Year: 2018, Page(s):2402 - 2415
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The issue of single sample per person (SSPP) face recognition has attracted more and more attention in recent years. Patch/local-based algorithm is one of the most popular categories to address the issue, as patch/local features are robust to face image variations. However, the global discriminative information is ignored in patch/local-based algorithm, which is crucial to recognize the nondiscrim... View full abstract»

• ### A Multiview Learning Framework With a Linear Computational Cost

Publication Year: 2018, Page(s):2416 - 2425
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Learning features from multiple views has attracted much research attention in different machine learning tasks, such as multiclass and multilabel classification problems. In this paper, we propose a multiclass multilabel multiview learning framework with a linear computational cost where an example is associated with at least one label and represented by multiple information sources. We simultane... View full abstract»

• ### Asynchronous Dissipative Control for Fuzzy Markov Jump Systems

Publication Year: 2018, Page(s):2426 - 2436
Cited by:  Papers (4)
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The problem of asynchronous dissipative control is investigated for Takagi-Sugeno fuzzy systems with Markov jump in this paper. Hidden Markov model is introduced to represent the nonsynchronization between the designed controller and the original system. By the fuzzy-basis-dependent and modedependent Lyapunov function, a sufficient condition is achieved such that the resulting closed-loop system i... View full abstract»

• ### Synchronization Control for a Class of Discrete-Time Dynamical Networks With Packet Dropouts: A Coding–Decoding-Based Approach

Publication Year: 2018, Page(s):2437 - 2448
Cited by:  Papers (2)
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The synchronization control problem is investigated for a class of discrete-time dynamical networks with packet dropouts via a coding-decoding-based approach. The data is transmitted through digital communication channels and only the sequence of finite coded signals is sent to the controller. A series of mutually independent Bernoulli distributed random variables is utilized to model the packet d... View full abstract»

• ### Robust Distributed Predictive Control of Waterborne AGVs—A Cooperative and Cost-Effective Approach

Publication Year: 2018, Page(s):2449 - 2461
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Waterborne autonomous guided vessels (waterborne AGVs) moving over open waters experience environmental uncertainties. This paper proposes a novel cost-effective robust distributed control approach for waterborne AGVs. The overall system is uncertain and has independent subsystem dynamics but coupling objectives and state constraints. Waterborne AGVs determine their actions in a parallel way, whil... View full abstract»

• ### Robust Fuzzy Adaptive Tracking Control for Nonaffine Stochastic Nonlinear Switching Systems

Publication Year: 2018, Page(s):2462 - 2471
Cited by:  Papers (2)
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This paper is concerned with the trajectory tracking control problem of a class of nonaffine stochastic nonlinear switched systems with the nonlower triangular form under arbitrary switching. Fuzzy systems are employed to tackle the problem from packaged unknown nonlinearities, and the backstepping and robust adaptive control techniques are applied to design the controller by adopting the structur... View full abstract»

• ### Robust Discriminant Regression for Feature Extraction

Publication Year: 2018, Page(s):2472 - 2484
Cited by:  Papers (2)
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Ridge regression (RR) and its extended versions are widely used as an effective feature extraction method in pattern recognition. However, the RR-based methods are sensitive to the variations of data and can learn only limited number of projections for feature extraction and recognition. To address these problems, we propose a new method called robust discriminant regression (RDR) for feature extr... View full abstract»

• ### Robust Fusion of Color and Depth Data for RGB-D Target Tracking Using Adaptive Range-Invariant Depth Models and Spatio-Temporal Consistency Constraints

Publication Year: 2018, Page(s):2485 - 2499
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This paper presents a novel robust method for single target tracking in RGB-D images, and also contributes a substantial new benchmark dataset for evaluating RGB-D trackers. While a target object's color distribution is reasonably motion-invariant, this is not true for the target's depth distribution, which continually varies as the target moves relative to the camera. It is therefore nontrivial t... View full abstract»

## 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