Volume 45 Issue 2 • Feb. 2015
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Table of contents
Publication Year: 2015, Page(s): C1|
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IEEE Transactions on Cybernetics publication information
Publication Year: 2015, Page(s): C2|
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G2-Type SRMPC Scheme for Synchronous Manipulation of Two Redundant Robot Arms
Publication Year: 2015, Page(s):153 - 164
Cited by: Papers (22)In this paper, to remedy the joint-angle drift phenomenon for manipulation of two redundant robot arms, a novel scheme for simultaneous repetitive motion planning and control (SRMPC) at the joint-acceleration level is proposed, which consists of two subschemes. To do so, the performance index of each SRMPC subscheme is derived and designed by employing the gradient dynamics twice, of which a conve... View full abstract»
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Continuous-Time Q-Learning for Infinite-Horizon Discounted Cost Linear Quadratic Regulator Problems
Publication Year: 2015, Page(s):165 - 176
Cited by: Papers (13)This paper presents a method of Q-learning to solve the discounted linear quadratic regulator (LQR) problem for continuous-time (CT) continuous-state systems. Most available methods in the existing literature for CT systems to solve the LQR problem generally need partial or complete knowledge of the system dynamics. Q-learning is effective for unknown dynamical systems, but has generally been well... View full abstract»
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Hybrid Adaptive Classifier Ensemble
Publication Year: 2015, Page(s):177 - 190
Cited by: Papers (14)Traditional random subspace-based classifier ensemble approaches (RSCE) have several limitations, such as viewing the same importance for the base classifiers trained in different subspaces, not considering how to find the optimal random subspace set. In this paper, we design a general hybrid adaptive ensemble learning framework (HAEL), and apply it to address the limitations of RSCE. As compared ... View full abstract»
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A Competitive Swarm Optimizer for Large Scale Optimization
Publication Year: 2015, Page(s):191 - 204
Cited by: Papers (57)In this paper, a novel competitive swarm optimizer (CSO) for large scale optimization is proposed. The algorithm is fundamentally inspired by the particle swarm optimization but is conceptually very different. In the proposed CSO, neither the personal best position of each particle nor the global best position (or neighborhood best positions) is involved in updating the particles. Instead, a pairw... View full abstract»
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Trust and Compactness in Social Network Groups
Publication Year: 2015, Page(s):205 - 216
Cited by: Papers (18)Understanding the dynamics behind group formation and evolution in social networks is considered an instrumental milestone to better describe how individuals gather and form communities, how they enjoy and share the platform contents, how they are driven by their preferences/tastes, and how their behaviors are influenced by peers. In this context, the notion of compactness of a social group is par... View full abstract»
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A Dynamic Multiarmed Bandit-Gene Expression Programming Hyper-Heuristic for Combinatorial Optimization Problems
Publication Year: 2015, Page(s):217 - 228
Cited by: Papers (24)Hyper-heuristics are search methodologies that aim to provide high-quality solutions across a wide variety of problem domains, rather than developing tailor-made methodologies for each problem instance/domain. A traditional hyper-heuristic framework has two levels, namely, the high level strategy (heuristic selection mechanism and the acceptance criterion) and low level heuristics (a set of proble... View full abstract»
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Fault Detection for T-S Fuzzy Time-Delay Systems: Delta Operator and Input-Output Methods
Publication Year: 2015, Page(s):229 - 241
Cited by: Papers (107)This paper focuses on the problem of fault detection for Takagi-Sugeno fuzzy systems with time-varying delays via delta operator approach. By designing a filter to generate a residual signal, the fault detection problem addressed in this paper can be converted into a filtering problem. The time-varying delay is approximated by the two-term approximation method. Fuzzy augmented fault detection syst... View full abstract»
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Person Reidentification by Minimum Classification Error-Based KISS Metric Learning
Publication Year: 2015, Page(s):242 - 252
Cited by: Papers (31)In recent years, person reidentification has received growing attention with the increasing popularity of intelligent video surveillance. This is because person reidentification is critical for human tracking with multiple cameras. Recently, keep it simple and straightforward (KISS) metric learning has been regarded as a top level algorithm for person reidentification. The covariance matrices of K... View full abstract»
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Effects of Controlled Element Dynamics on Human Feedforward Behavior in Ramp-Tracking Tasks
Publication Year: 2015, Page(s):253 - 265
Cited by: Papers (5)In real-life manual control tasks, human controllers are often required to follow a visible and predictable reference signal, enabling them to use feedforward control actions in conjunction with feedback actions that compensate for errors. Little is known about human control behavior in these situations. This paper investigates how humans adapt their feedforward control dynamics to the controlled ... View full abstract»
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Consistent Depth Video Segmentation Using Adaptive Surface Models
Publication Year: 2015, Page(s):266 - 278
Cited by: Papers (5)We propose a new approach for the segmentation of 3-D point clouds into geometric surfaces using adaptive surface models. Starting from an initial configuration, the algorithm converges to a stable segmentation through a new iterative split-and-merge procedure, which includes an adaptive mechanism for the creation and removal of segments. This allows the segmentation to adjust to changing input da... View full abstract»
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Dynamic Adjustment of Hidden Node Parameters for Extreme Learning Machine
Publication Year: 2015, Page(s):279 - 288
Cited by: Papers (13)Extreme learning machine (ELM), proposed by Huang et al., was developed for generalized single hidden layer feedforward networks with a wide variety of hidden nodes. ELMs have been proved very fast and effective especially for solving function approximation problems with a predetermined network structure. However, it may contain insignificant hidden nodes. In this paper, we propose dynamic adjustm... View full abstract»
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Heuristic Ternary Error-Correcting Output Codes Via Weight Optimization and Layered Clustering-Based Approach
Publication Year: 2015, Page(s):289 - 301
Cited by: Papers (1)One important classifier ensemble for multiclass classification problems is error-correcting output codes (ECOCs). It bridges multiclass problems and binary-class classifiers by decomposing multiclass problems to a serial binary-class problems. In this paper, we present a heuristic ternary code, named weight optimization and layered clustering-based ECOC (WOLC-ECOC). It starts with an arbitrary va... View full abstract»
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Differential Evolution With Auto-Enhanced Population Diversity
Publication Year: 2015, Page(s):302 - 315
Cited by: Papers (45)In differential evolution (DE) studies, there are many parameter adaptation methods, aiming at tuning the mutation factor F and the crossover probability CR. However, these methods still cannot resolve the issues of population premature convergence and population stagnation. To address these issues, in this paper, we investigate the population adaptation regarding population diversity at the dimen... View full abstract»
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Intelligent Deflection Routing in Buffer-Less Networks
Publication Year: 2015, Page(s):316 - 327
Cited by: Papers (6)Deflection routing is employed to ameliorate packet loss caused by contention in buffer-less architectures such as optical burst-switched networks. The main goal of deflection routing is to successfully deflect a packet based only on a limited knowledge that network nodes possess about their environment. In this paper, we present a framework that introduces intelligence to deflection routing (iDef... View full abstract»
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Multistep Prediction of Physiological Tremor Based on Machine Learning for Robotics Assisted Microsurgery
Publication Year: 2015, Page(s):328 - 339
Cited by: Papers (15)For effective tremor compensation in robotics assisted hand-held device, accurate filtering of tremulous motion is necessary. The time-varying unknown phase delay that arises due to both software (filtering) and hardware (sensors) in these robotics instruments adversely affects the device performance. In this paper, moving window-based least squares support vector machines approach is formulated f... View full abstract»
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A Fast Algorithm to Compute Precise Type-2 Centroids for Real-Time Control Applications
Publication Year: 2015, Page(s):340 - 353
Cited by: Papers (9)An interval type-2 fuzzy set (IT2 FS) is characterized by its upper and lower membership functions containing all possible embedded fuzzy sets, which together is referred to as the footprint of uncertainty (FOU). The FOU results in a span of uncertainty measured in the defuzzified space and is determined by the positional difference of the centroids of all the embedded fuzzy sets taken together. T... View full abstract»
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Publication Year: 2015, Page(s): 354|
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Publication Year: 2015, Page(s): 355|
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Publication Year: 2015, Page(s): 356|
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IEEE Systems, Man, and Cybernetics Society Information
Publication Year: 2015, Page(s): C3|
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IEEE Transactions on Cybernetics information for authors
Publication Year: 2015, Page(s): C4|
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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