IEEE Transactions on Cybernetics

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Displaying Results 1 - 21 of 21

Publication Year: 2016, Page(s): C1
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• IEEE Transactions on Cybernetics publication information

Publication Year: 2016, Page(s): C2
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• Off-Policy Actor-Critic Structure for Optimal Control of Unknown Systems With Disturbances

Publication Year: 2016, Page(s):1041 - 1050
Cited by:  Papers (58)
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An optimal control method is developed for unknown continuous-time systems with unknown disturbances in this paper. The integral reinforcement learning (IRL) algorithm is presented to obtain the iterative control. Off-policy learning is used to allow the dynamics to be completely unknown. Neural networks are used to construct critic and action networks. It is shown that if there are unknown distur... View full abstract»

• Neural Network-Based Control of Networked Trilateral Teleoperation With Geometrically Unknown Constraints

Publication Year: 2016, Page(s):1051 - 1064
Cited by:  Papers (31)
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Most studies on bilateral teleoperation assume known system kinematics and only consider dynamical uncertainties. However, many practical applications involve tasks with both kinematics and dynamics uncertainties. In this paper, trilateral teleoperation systems with dual-master-single-slave framework are investigated, where a single robotic manipulator constrained by an unknown geometrical environ... View full abstract»

• Entropy Measurement for Biometric Verification Systems

Publication Year: 2016, Page(s):1065 - 1077
Cited by:  Papers (10)
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Biometric verification systems are designed to accept multiple similar biometric measurements per user due to inherent intrauser variations in the biometric data. This is important to preserve reasonable acceptance rate of genuine queries and the overall feasibility of the recognition system. However, such acceptance of multiple similar measurements decreases the imposter's difficulty of obtaining... View full abstract»

• Binarization With Boosting and Oversampling for Multiclass Classification

Publication Year: 2016, Page(s):1078 - 1091
Cited by:  Papers (8)
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Using a set of binary classifiers to solve multiclass classification problems has been a popular approach over the years. The decision boundaries learnt by binary classifiers (also called base classifiers) are much simpler than those learnt by multiclass classifiers. This paper proposes a new classification framework, termed binarization with boosting and oversampling (BBO), for efficiently solvin... View full abstract»

• On Input-to-State Stability of Switched Stochastic Nonlinear Systems Under Extended Asynchronous Switching

Publication Year: 2016, Page(s):1092 - 1105
Cited by:  Papers (65)
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An extended asynchronous switching model is investigated for a class of switched stochastic nonlinear retarded systems in the presence of both detection delay and false alarm, where the extended asynchronous switching is described by two independent and exponentially distributed stochastic processes, and further simplified as Markovian. Based on the Razumikhin-type theorem incorporated with averag... View full abstract»

• A Novel Extreme Learning Control Framework of Unmanned Surface Vehicles

Publication Year: 2016, Page(s):1106 - 1117
Cited by:  Papers (47)
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In this paper, an extreme learning control (ELC) framework using the single-hidden-layer feedforward network (SLFN) with random hidden nodes for tracking an unmanned surface vehicle suffering from unknown dynamics and external disturbances is proposed. By combining tracking errors with derivatives, an error surface and transformed states are defined to encapsulate unknown dynamics and disturbances... View full abstract»

• A Stochastic Framework for Robust Fuzzy Filtering and Analysis of Signals—Part I

Publication Year: 2016, Page(s):1118 - 1131
Cited by:  Papers (4)
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There are numerous applications across all the spectrum of scientific areas that demand the mathematical study of signals/data. The two typical study areas of theoretical research on signal/data processing are of modeling (i.e., understanding of signal's behavior) and of analysis (i.e., evaluation of given signal for finding its association to existing signal models). The objective of this paper i... View full abstract»

• High Capacity Reversible Data Hiding in Encrypted Images by Patch-Level Sparse Representation

Publication Year: 2016, Page(s):1132 - 1143
Cited by:  Papers (64)
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Reversible data hiding in encrypted images has attracted considerable attention from the communities of privacy security and protection. The success of the previous methods in this area has shown that a superior performance can be achieved by exploiting the redundancy within the image. Specifically, because the pixels in the local structures (like patches or regions) have a strong similarity, they... View full abstract»

• Evolving Scale-Free Networks by Poisson Process: Modeling and Degree Distribution

Publication Year: 2016, Page(s):1144 - 1155
Cited by:  Papers (9)
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Since the great mathematician Leonhard Euler initiated the study of graph theory, the network has been one of the most significant research subject in multidisciplinary. In recent years, the proposition of the small-world and scale-free properties of complex networks in statistical physics made the network science intriguing again for many researchers. One of the challenges of the network science ... View full abstract»

• Solving Potential Games With Dynamical Constraint

Publication Year: 2016, Page(s):1156 - 1164
Cited by:  Papers (7)
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We solve N-player potential games with dynamical constraint in this paper. Potential games with stable dynamics are first considered followed by one type of potential games without inherently stable dynamics. Different from most of the existing Nash seeking methods, we provide an extremum seeking-based method that does not require explicit information on the game dynamics or the payoff functions. ... View full abstract»

• Synchronous Hybrid Event- and Time-Driven Consensus in Multiagent Networks With Time Delays

Publication Year: 2016, Page(s):1165 - 1174
Cited by:  Papers (30)
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This paper studies the delay robustness of a class of synchronous hybrid event- and time-driven consensus protocols in undirected networks. These protocols can ensure the system performance at reduced data-sampling rates. We consider three types of time delays in feedbacks, including one common time delay, multiple time-invariant delays, and multiple time-varying delays; and by sampled-data contro... View full abstract»

• The${k}$-Unanimity Rule for Self-Organized Decision-Making in Swarms of Robots

Publication Year: 2016, Page(s):1175 - 1188
Cited by:  Papers (17)
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In this paper, we propose a collective decision-making method for swarms of robots. The method enables a robot swarm to select, from a set of possible actions, the one that has the fastest mean execution time. By means of positive feedback the method achieves consensus on the fastest action. The novelty of our method is that it allows robots to collectively find consensus on the fastest action wit... View full abstract»

• Learning With$\ell _{1}$-Regularizer Based on Markov Resampling

Publication Year: 2016, Page(s):1189 - 1201
Cited by:  Papers (3)
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Learning with ℓ1-regularizer has brought about a great deal of research in learning theory community. Previous known results for the learning with ℓ1-regularizer are based on the assumption that samples are independent and identically distributed (i.i.d.), and the best obtained learning rate for the ℓ1-regularization type algorithms is O(1/√m), where m is the sampl... View full abstract»

• System Identification in Presence of Outliers

Publication Year: 2016, Page(s):1202 - 1216
Cited by:  Papers (10)
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The outlier detection problem for dynamic systems is formulated as a matrix decomposition problem with low rank and sparse matrices, and further recast as a semidefinite programming problem. A fast algorithm is presented to solve the resulting problem while keeping the solution matrix structure and it can greatly reduce the computational cost over the standard interior-point method. The computatio... View full abstract»

• Robotic Online Path Planning on Point Cloud

Publication Year: 2016, Page(s):1217 - 1228
Cited by:  Papers (25)
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This paper deals with the path-planning problem for mobile wheeled- or tracked-robot which drive in 2.5-D environments, where the traversable surface is usually considered as a 2-D-manifold embedded in a 3-D ambient space. Specially, we aim at solving the 2.5-D navigation problem using raw point cloud as input. The proposed method is independent of traditional surface parametrization or reconstruc... View full abstract»

• Inverse-Free Extreme Learning Machine With Optimal Information Updating

Publication Year: 2016, Page(s):1229 - 1241
Cited by:  Papers (41)
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The extreme learning machine (ELM) has drawn insensitive research attentions due to its effectiveness in solving many machine learning problems. However, the matrix inversion operation involved in the algorithm is computational prohibitive and limits the wide applications of ELM in many scenarios. To overcome this problem, in this paper, we propose an inverse-free ELM to incrementally increase the... View full abstract»

• Notion of Control-Law Module and Modular Framework of Cooperative Transportation Using Multiple Nonholonomic Robotic Agents With Physical Rigid-Formation-Motion Constraints

Publication Year: 2016, Page(s):1242 - 1248
Cited by:  Papers (12)
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Consider cooperative manipulation and transportation of a rigid body by multiple two-wheeled nonholonomic robotic agents that attached to it, the agents are then physically constrained to maintain rigid-formation-motion (RFM); thus the system has two physical motion-constraints at two levels: 1) the nonholonomic constraint at the individual level and 2) the RFM constraint at the system level. Firs... View full abstract»

• IEEE Systems, Man, and Cybernetics Society Information

Publication Year: 2016, Page(s): C3
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• IEEE Transactions on Cybernetics information for authors

Publication Year: 2016, 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.

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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