# IEEE Transactions on Cybernetics

## Filter Results

Displaying Results 1 - 25 of 28

Publication Year: 2018, Page(s):C1 - 2509
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• ### IEEE Transactions on Cybernetics

Publication Year: 2018, Page(s): C2
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• ### Event-Triggered Distributed Control of Nonlinear Interconnected Systems Using Online Reinforcement Learning With Exploration

Publication Year: 2018, Page(s):2510 - 2519
Cited by:  Papers (3)
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In this paper, a distributed control scheme for an interconnected system composed of uncertain input affine nonlinear subsystems with event triggered state feedback is presented by using a novel hybrid learning scheme-based approximate dynamic programming with online exploration. First, an approximate solution to the Hamilton-Jacobi-Bellman equation is generated with event sampled neural network (... View full abstract»

• ### Camera-Assisted Video Saliency Prediction and Its Applications

Publication Year: 2018, Page(s):2520 - 2530
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Video saliency prediction is an indispensable yet challenging technique which can facilitate various applications, such as video surveillance, autonomous driving, and realistic rendering. Based on the popularity of embedded cameras, we in this paper predict region-level saliency from videos by leveraging human gaze locations recorded using a camera, (e.g., those equipped on an iMAC and laptop PC).... View full abstract»

• ### Auxiliary Demographic Information Assisted Age Estimation With Cascaded Structure

Publication Year: 2018, Page(s):2531 - 2541
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Owing to the variations including both intrinsic and extrinsic factors, age estimation remains a challenging problem. In this paper, five cascaded structure frameworks are proposed for age estimation based on convolutional neural networks. All frameworks are learned and guided by auxiliary demographic information, since other demographic information (i.e., gender and race) is beneficial for age pr... View full abstract»

• ### Generalized Multi-View Embedding for Visual Recognition and Cross-Modal Retrieval

Publication Year: 2018, Page(s):2542 - 2555
Cited by:  Papers (1)
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In this paper, the problem of multi-view embedding from different visual cues and modalities is considered. We propose a unified solution for subspace learning methods using the Rayleigh quotient, which is extensible for multiple views, supervised learning, and nonlinear embeddings. Numerous methods including canonical correlation analysis, partial least square regression, and linear discriminant ... View full abstract»

• ### Subnormal Distribution Derived From Evolving Networks With Variable Elements

Publication Year: 2018, Page(s):2556 - 2568
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During the past decades, power-law distributions have played a significant role in analyzing the topology of scale-free networks. However, in the observation of degree distributions in practical networks and other nonuniform distributions such as the wealth distribution, we discover that, there exists a peak at the beginning of most real distributions, which cannot be accurately described by a mon... View full abstract»

• ### A Novel Finite-Sum Inequality-Based Method for Robust$H_\infty$Control of Uncertain Discrete-Time Takagi–Sugeno Fuzzy Systems With Interval-Like Time-Varying Delays

Publication Year: 2018, Page(s):2569 - 2582
Cited by:  Papers (1)
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This paper is concerned with the problem of robust H∞control of an uncertain discrete-time Takagi-Sugeno fuzzy system with an interval-like time-varying delay. A novel finite-sum inequality-based method is proposed to provide a tighter estimation on the forward difference of certain Lyapunov functional, leading to a less conservative result. First, an auxiliary vector function is used t... View full abstract»

• ### Distributed Task Rescheduling With Time Constraints for the Optimization of Total Task Allocations in a Multirobot System

Publication Year: 2018, Page(s):2583 - 2597
Cited by:  Papers (2)
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This paper considers the problem of maximizing the number of task allocations in a distributed multirobot system under strict time constraints, where other optimization objectives need also be considered. It builds upon existing distributed task allocation algorithms, extending them with a novel method for maximizing the number of task assignments. The fundamental idea is that a task assignment to... View full abstract»

• ### Connectivity-Preserving Approach for Distributed Adaptive Synchronized Tracking of Networked Uncertain Nonholonomic Mobile Robots

Publication Year: 2018, Page(s):2598 - 2608
Cited by:  Papers (1)
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This paper addresses a distributed connectivity-preserving synchronized tracking problem of multiple uncertain nonholonomic mobile robots with limited communication ranges. The information of the time-varying leader robot is assumed to be accessible to only a small fraction of follower robots. The main contribution of this paper is to introduce a new distributed nonlinear error surface for dealing... View full abstract»

• ### Superpixel-Based Foreground Extraction With Fast Adaptive Trimaps

Publication Year: 2018, Page(s):2609 - 2619
Cited by:  Papers (1)
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Extracting the foreground from a given complex image is an important and challenging problem. Although there have been many methods to perform foreground extraction, most of them are time-consuming, and the trimaps used in the matting step are labeled manually. In this paper, we propose a fast interactive foreground extraction method based on the superpixel GrabCut and image matting. Specifically,... View full abstract»

• ### Diverse Non-Negative Matrix Factorization for Multiview Data Representation

Publication Year: 2018, Page(s):2620 - 2632
Cited by:  Papers (2)
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Non-negative matrix factorization (NMF), a method for finding parts-based representation of non-negative data, has shown remarkable competitiveness in data analysis. Given that real-world datasets are often comprised of multiple features or views which describe data from various perspectives, it is important to exploit diversity from multiple views for comprehensive and accurate data representatio... View full abstract»

• ### Adaptive Control via Neural Output Feedback for a Class of Nonlinear Discrete-Time Systems in a Nested Interconnected Form

Publication Year: 2018, Page(s):2633 - 2642
Cited by:  Papers (2)
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In this paper, an adaptive output feedback control is framed for uncertain nonlinear discrete-time systems. The considered systems are a class of multi-input multioutput nonaffine nonlinear systems, and they are in the nested lower triangular form. Furthermore, the unknown dead-zone inputs are nonlinearly embedded into the systems. These properties of the systems will make it very difficult and ch... View full abstract»

• ### Robust Visual Tracking via Online Discriminative and Low-Rank Dictionary Learning

Publication Year: 2018, Page(s):2643 - 2655
Cited by:  Papers (2)
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In this paper, we propose a novel and robust tracking framework based on online discriminative and low-rank dictionary learning. The primary aim of this paper is to obtain compact and low-rank dictionaries that can provide good discriminative representations of both target and background. We accomplish this by exploiting the recovery ability of low-rank matrices. That is if we assume that the data... View full abstract»

• ### A Distributed Fuzzy Associative Classifier for Big Data

Publication Year: 2018, Page(s):2656 - 2669
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Fuzzy associative classification has not been widely analyzed in the literature, although associative classifiers (ACs) have proved to be very effective in different real domain applications. The main reason is that learning fuzzy ACs is a very heavy task, especially when dealing with large datasets. To overcome this drawback, in this paper, we propose an efficient distributed fuzzy associative cl... View full abstract»

• ### Adaptive Neural Network Control for Robotic Manipulators With Unknown Deadzone

Publication Year: 2018, Page(s):2670 - 2682
Cited by:  Papers (1)
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This paper addresses the problem of robotic manipulators with unknown deadzone. In order to tackle the uncertainty and the unknown deadzone effect, we introduce adaptive neural network (NN) control for robotic manipulators. State-feedback control is introduced first and a high-gain observer is then designed to make the proposed control scheme more practical. One radial basis function NN (RBFNN) is... View full abstract»

• ### Training-Based Gradient LBP Feature Models for Multiresolution Texture Classification

Publication Year: 2018, Page(s):2683 - 2696
Cited by:  Papers (2)
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Local binary pattern (LBP) is a simple, yet efficient coding model for extracting texture features. To improve texture classification, this paper designs a median sampling regulation, defines a group of gradient LBP (gLBP) descriptors, proposes a training-based feature model mapping method, and then develops a texture classification frame using the multiresolution feature fusion of four gLBP descr... View full abstract»

• ### Learning From Short Text Streams With Topic Drifts

Publication Year: 2018, Page(s):2697 - 2711
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Short text streams such as search snippets and micro blogs have been popular on the Web with the emergence of social media. Unlike traditional normal text streams, these data present the characteristics of short length, weak signal, high volume, high velocity, topic drift, etc. Short text stream classification is hence a very challenging and significant task. However, this challenge has received l... View full abstract»

• ### Reaching Non-Negative Edge Consensus of Networked Dynamical Systems

Publication Year: 2018, Page(s):2712 - 2722
Cited by:  Papers (2)
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In this paper, the problem of non-negative edge consensus of undirected networked linear time-invariant systems is addressed by associating each edge of the network with a state variable, for which a distributed algorithm is constructed. Sufficient conditions referring only to the number of edges are derived for non-negative edge consensus of the networked systems. Subsequently, the linear program... View full abstract»

• ### A Piecewise-Markovian Lyapunov Approach to Reliable Output Feedback Control for Fuzzy-Affine Systems With Time-Delays and Actuator Faults

Publication Year: 2018, Page(s):2723 - 2735
Cited by:  Papers (1)
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This paper addresses the problem of delaydependent robust and reliable H∞static output feedback (SOF) control for a class of uncertain discrete-time Takagi-Sugeno fuzzy-affine (FA) systems with time-varying delay and actuator faults in a singular system framework. The Markov chain is employed to describe the actuator faults behaviors. In particular, by utilizing a system augmentation ap... View full abstract»

• ### Robust Stabilization of T–S Fuzzy Stochastic Descriptor Systems via Integral Sliding Modes

Publication Year: 2018, Page(s):2736 - 2749
Cited by:  Papers (5)
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This paper addresses the robust stabilization problem for T-S fuzzy stochastic descriptor systems using an integral sliding mode control paradigm. A classical integral sliding mode control scheme and a nonparallel distributed compensation (Non-PDC) integral sliding mode control scheme are presented. It is shown that two restrictive assumptions previously adopted developing sliding mode controllers... View full abstract»

• ### Network-Based T–S Fuzzy Dynamic Positioning Controller Design for Unmanned Marine Vehicles

Publication Year: 2018, Page(s):2750 - 2763
Cited by:  Papers (1)
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This paper is concerned with a Takagi-Sugeno (T-S) fuzzy dynamic positioning controller design for an unmanned marine vehicle (UMV) in network environments. Network-based T-S fuzzy dynamic positioning system (DPS) models for the UMV are first established. Then, stability and stabilization criteria are derived by taking into consideration an asynchronous difference between the normalized membership... View full abstract»

• ### Event-Triggered Control for the Disturbance Decoupling Problem of Boolean Control Networks

Publication Year: 2018, Page(s):2764 - 2769
Cited by:  Papers (4)
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This paper investigates the disturbance decoupling problem (DDP) of Boolean control networks (BCNs) by event-triggered control. Using the semi-tensor product of matrices, algebraic forms of BCNs can be achieved, based on which, event-triggered controllers are designed to solve the DDP of BCNs. In addition, the DDP of Boolean partial control networks is also derived by event-triggered control. Fina... View full abstract»

• ### Introducing IEEE Collabratec

Publication Year: 2018, Page(s): 2770
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• ### Member Get-A-Member (MGM) Program

Publication Year: 2018, Page(s): 2771
| PDF (3457 KB)

## 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