# IEEE Transactions on Cybernetics

## Filter Results

Displaying Results 1 - 25 of 25

Publication Year: 2018, Page(s):C1 - 3029
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• ### IEEE Transactions on Cybernetics

Publication Year: 2018, Page(s): C2
| PDF (111 KB)
• ### Mining Context-Aware Association Rules Using Grammar-Based Genetic Programming

Publication Year: 2018, Page(s):3030 - 3044
Cited by:  Papers (1)
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Real-world data usually comprise features whose interpretation depends on some contextual information. Such contextual-sensitive features and patterns are of high interest to be discovered and analyzed in order to obtain the right meaning. This paper formulates the problem of mining context-aware association rules, which refers to the search for associations between itemsets such that the strength... View full abstract»

• ### An Adaptive Primal-Dual Subgradient Algorithm for Online Distributed Constrained Optimization

Publication Year: 2018, Page(s):3045 - 3055
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In this paper, we consider the problem of solving distributed constrained optimization over a multiagent network that consists of multiple interacting nodes in online setting, where the objective functions of nodes are time-varying and the constraint set is characterized by an inequality. Through introducing a regularized convex-concave function, we present a consensus-based adaptive primal-dual s... View full abstract»

• ### Robust Fault Detection for Switched Fuzzy Systems With Unknown Input

Publication Year: 2018, Page(s):3056 - 3066
Cited by:  Papers (1)
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• ### Distributed Continuous-Time Algorithms for Resource Allocation Problems Over Weight-Balanced Digraphs

Publication Year: 2018, Page(s):3116 - 3125
Cited by:  Papers (1)
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In this paper, a distributed resource allocation problem with nonsmooth local cost functions is considered, where the interaction among agents is depicted by strongly connected and weight-balanced digraphs. Here the decision variable of each agent is within a local feasibility constraint described as a convex set, and all the decision variables have to satisfy a network resource constraint, which ... View full abstract»

• ### Neuroadaptive Control of Strict Feedback Systems With Full-State Constraints and Unknown Actuation Characteristics: An Inexpensive Solution

Publication Year: 2018, Page(s):3126 - 3134
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In this paper, we present a neuroadaptive control for a class of uncertain nonlinear strict-feedback systems with full-state constraints and unknown actuation characteristics where the break points of the dead-zone model are considered as time-variant. In order to deal with the modeling uncertainties and the impact of the nonsmooth actuation characteristics, neural networks are utilized at each st... View full abstract»

• ### A New Varying-Parameter Recurrent Neural-Network for Online Solution of Time-Varying Sylvester Equation

Publication Year: 2018, Page(s):3135 - 3148
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Solving Sylvester equation is a common algebraic problem in mathematics and control theory. Different from the traditional fixed-parameter recurrent neural networks, such as gradient-based recurrent neural networks or Zhang neural networks, a novel varying-parameter recurrent neural network, [called varying-parameter convergent-differential neural network (VP-CDNN)] is proposed in this paper for o... View full abstract»

• ### A Neurodynamic Approach to Distributed Optimization With Globally Coupled Constraints

Publication Year: 2018, Page(s):3149 - 3158
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In this paper, a distributed neurodynamic approach is proposed for constrained convex optimization. The objective function is a sum of local convex subproblems, whereas the constraints of these subproblems are coupled. Each local objective function is minimized individually with the proposed neurodynamic optimization approach. Through information exchange between connected neighbors only, all node... View full abstract»

• ### Video Saliency Detection Using Object Proposals

Publication Year: 2018, Page(s):3159 - 3170
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In this paper, we introduce a novel approach to identify salient object regions in videos via object proposals. The core idea is to solve the saliency detection problem by ranking and selecting the salient proposals based on object-level saliency cues. Object proposals offer a more complete and high-level representation, which naturally caters to the needs of salient object detection. As well as i... View full abstract»

• ### CNNs-Based RGB-D Saliency Detection via Cross-View Transfer and Multiview Fusion

Publication Year: 2018, Page(s):3171 - 3183
Cited by:  Papers (2)
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Salient object detection from RGB-D images aims to utilize both the depth view and RGB view to automatically localize objects of human interest in the scene. Although a few earlier efforts have been devoted to the study of this paper in recent years, two major challenges still remain: 1) how to leverage the depth view effectively to model the depth-induced saliency and 2) how to implement an optim... View full abstract»

• ### On the Definiteness of Earth Mover’s Distance and Its Relation to Set Intersection

Publication Year: 2018, Page(s):3184 - 3196
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Positive definite (PD) kernels are an important tool in machine learning that enable efficient solutions to otherwise difficult or intractable problems by implicitly linearizing the problem geometry. In this paper, we develop a set-theoretic interpretation of the earth mover’s distance (EMD) and propose earth mover’s intersection (EMI), a PD analog to EMD for sets of different sizes. We provide co... View full abstract»

• ### Optimal Robust Output Containment of Unknown Heterogeneous Multiagent System Using Off-Policy Reinforcement Learning

Publication Year: 2018, Page(s):3197 - 3207
Cited by:  Papers (1)
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This paper investigates optimal robust output containment problem of general linear heterogeneous multiagent systems (MAS) with completely unknown dynamics. A model-based algorithm using offline policy iteration (PI) is first developed, where the${p}$-copy internal model principle is utilized to address the system parameter var... View full abstract»

• ### Distributed Nash Equilibrium Seeking in Multiagent Games Under Switching Communication Topologies

Publication Year: 2018, Page(s):3208 - 3217
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This paper investigates distributed Nash equilibrium seeking in multiagent games under switching communication topologies. To be specific, the communication topology is supposed to be switching among a set of strongly connected digraphs, which might suffer from occasional loss of communication due to sensor failure, packet loss, etc. The synthesis of the leader-following consensus protocol and the... View full abstract»

• ### Real-Time Multimedia Social Event Detection in Microblog

Publication Year: 2018, Page(s):3218 - 3231
Cited by:  Papers (2)
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Detecting events from massive social media data in social networks can facilitate browsing, search, and monitoring of real-time events by corporations, governments, and users. The short, conversational, heterogeneous, and real-time characteristics of social media data bring great challenges for event detection. The existing event detection approaches rely mainly on textual information, while the v... View full abstract»

• ### Estimating Graph Robustness Through the Randic Index

Publication Year: 2018, Page(s):3232 - 3242
Cited by:  Papers (1)
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Graph robustness—the ability of a graph to preserve its connectivity after the loss of nodes and edges—has been extensively studied to quantify how social, biological, physical, and technical systems withstand to external damages. In this paper, we prove that graph robustness can be quickly estimated through the Randic index, a parameter introduced in chemistry to study organic compounds. We prove... View full abstract»

• ### Finite-Time Formation Control of Under-Actuated Ships Using Nonlinear Sliding Mode Control

Publication Year: 2018, Page(s):3243 - 3253
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A novel nonlinear sliding mode control approach dealing with the formation control of under-actuated ships is presented in this paper. To avoid the singularity problem, state space of the system is partitioned into two regions, with one region bounded for terminal sliding mode control and its complement singular for that. And a linear auxiliary sliding mode controller is designed for system trajec... View full abstract»

• ### A Novel Cyber Attack Detection Method in Networked Control Systems

Publication Year: 2018, Page(s):3254 - 3264
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This paper is concerned with cyber attack detection in a networked control system. A novel cyber attack detection method, which consists of two steps: 1) a prediction step and 2) a measurement update step, is developed. An estimation ellipsoid set is calculated through updating the prediction ellipsoid set with the current sensor measurement data. Based on the intersection between these two ellips... View full abstract»

• ### Weakly Supervised Facial Action Unit Recognition With Domain Knowledge

Publication Year: 2018, Page(s):3265 - 3276
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Current facial action unit (AU) recognition typically includes supervised training, where the fully AU annotated training images are required. Due to the nuances of facial appearance and individual differences, AU annotation is a time-consuming, expensive, and error-prone process. Facial expression is relatively simple to label, since facial expressions describe facial behavior globally and the nu... View full abstract»

• ### IEEE Transactions on Cybernetics

Publication Year: 2018, Page(s): C3
| PDF (164 KB)
• ### IEEE Transactions on Cybernetics

Publication Year: 2018, Page(s): C4
| PDF (97 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