IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)
- Vol: 31 Issue: 1
- Vol: 31 Issue: 2
- Vol: 31 Issue: 3
- Vol: 31 Issue: 4
- Vol: 31 Issue: 5
- Vol: 31 Issue: 6
- Vol: 41 Issue: 1
- Vol: 41 Issue: 2
- Vol: 41 Issue: 3
- Vol: 41 Issue: 4
- Vol: 41 Issue: 5
- Vol: 41 Issue: 6
- Vol: 30 Issue: 1
- Vol: 30 Issue: 2
- Vol: 30 Issue: 3
- Vol: 30 Issue: 4
- Vol: 30 Issue: 5
- Vol: 30 Issue: 6
- Vol: 40 Issue: 1
- Vol: 40 Issue: 2
- Vol: 40 Issue: 3
- Vol: 40 Issue: 4
- Vol: 40 Issue: 5
- Vol: 40 Issue: 6
- Vol: 39 Issue: 1
- Vol: 39 Issue: 2
- Vol: 39 Issue: 3
- Vol: 39 Issue: 4
- Vol: 39 Issue: 5
- Vol: 39 Issue: 6
- Vol: 28 Issue: 1
- Vol: 28 Issue: 2
- Vol: 28 Issue: 3
- Vol: 28 Issue: 4
- Vol: 28 Issue: 5
- Vol: 28 Issue: 6
- Vol: 38 Issue: 1
- Vol: 38 Issue: 2
- Vol: 38 Issue: 3
- Vol: 38 Issue: 4
- Vol: 38 Issue: 5
- Vol: 38 Issue: 6
- Vol: 27 Issue: 1
- Vol: 27 Issue: 2
- Vol: 27 Issue: 3
- Vol: 27 Issue: 4
- Vol: 27 Issue: 5
- Vol: 27 Issue: 6
- Vol: 37 Issue: 1
- Vol: 37 Issue: 2
- Vol: 37 Issue: 3
- Vol: 37 Issue: 4
- Vol: 37 Issue: 5
- Vol: 37 Issue: 6
- Vol: 26 Issue: 1
- Vol: 26 Issue: 2
- Vol: 26 Issue: 3
- Vol: 26 Issue: 4
- Vol: 26 Issue: 5
- Vol: 26 Issue: 6
- Vol: 35 Issue: 1
- Vol: 35 Issue: 2
- Vol: 35 Issue: 3
- Vol: 35 Issue: 4
- Vol: 35 Issue: 5
- Vol: 35 Issue: 6
- Vol: 36 Issue: 3
- Vol: 34 Issue: 1
- Vol: 34 Issue: 2
- Vol: 34 Issue: 3
- Vol: 34 Issue: 4
- Vol: 34 Issue: 5
- Vol: 34 Issue: 6
- Vol: 33 Issue: 1
- Vol: 33 Issue: 2
- Vol: 33 Issue: 3
- Vol: 33 Issue: 4
- Vol: 33 Issue: 5
- Vol: 33 Issue: 6
- Vol: 42 Issue: 1
- Vol: 42 Issue: 2
- Vol: 42 Issue: 3
- Vol: 42 Issue: 4
- Vol: 42 Issue: 5
- Vol: 42 Issue: 6
- Vol: 31 Issue: 1
- Vol: 31 Issue: 2
- Vol: 31 Issue: 3
- Vol: 31 Issue: 4
- Vol: 31 Issue: 5
- Vol: 31 Issue: 6
- Vol: 41 Issue: 1
- Vol: 41 Issue: 2
- Vol: 41 Issue: 3
- Vol: 41 Issue: 4
- Vol: 41 Issue: 5
- Vol: 41 Issue: 6
- Vol: 30 Issue: 1
- Vol: 30 Issue: 2
- Vol: 30 Issue: 3
- Vol: 30 Issue: 4
- Vol: 30 Issue: 5
- Vol: 30 Issue: 6
- Vol: 40 Issue: 1
- Vol: 40 Issue: 2
- Vol: 40 Issue: 3
- Vol: 40 Issue: 4
- Vol: 40 Issue: 5
- Vol: 40 Issue: 6
- Vol: 39 Issue: 1
- Vol: 39 Issue: 2
- Vol: 39 Issue: 3
- Vol: 39 Issue: 4
- Vol: 39 Issue: 5
- Vol: 39 Issue: 6
- Vol: 28 Issue: 1
- Vol: 28 Issue: 2
- Vol: 28 Issue: 3
- Vol: 28 Issue: 4
- Vol: 28 Issue: 5
- Vol: 28 Issue: 6
- Vol: 38 Issue: 1
- Vol: 38 Issue: 2
- Vol: 38 Issue: 3
- Vol: 38 Issue: 4
- Vol: 38 Issue: 5
- Vol: 38 Issue: 6
- Vol: 27 Issue: 1
- Vol: 27 Issue: 2
- Vol: 27 Issue: 3
- Vol: 27 Issue: 4
- Vol: 27 Issue: 5
- Vol: 27 Issue: 6
- Vol: 37 Issue: 1
- Vol: 37 Issue: 2
- Vol: 37 Issue: 3
- Vol: 37 Issue: 4
- Vol: 37 Issue: 5
- Vol: 37 Issue: 6
- Vol: 26 Issue: 1
- Vol: 26 Issue: 2
- Vol: 26 Issue: 3
- Vol: 26 Issue: 4
- Vol: 26 Issue: 5
- Vol: 26 Issue: 6
- Vol: 35 Issue: 1
- Vol: 35 Issue: 2
- Vol: 35 Issue: 3
- Vol: 35 Issue: 4
- Vol: 35 Issue: 5
- Vol: 35 Issue: 6
- Vol: 36 Issue: 3
- Vol: 34 Issue: 1
- Vol: 34 Issue: 2
- Vol: 34 Issue: 3
- Vol: 34 Issue: 4
- Vol: 34 Issue: 5
- Vol: 34 Issue: 6
- Vol: 33 Issue: 1
- Vol: 33 Issue: 2
- Vol: 33 Issue: 3
- Vol: 33 Issue: 4
- Vol: 33 Issue: 5
- Vol: 33 Issue: 6
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics focuses on cybernetics, including communication and control across humans, machines and organizations at the structural or neural level
This Transactions ceased production in 2012. The current retitled publication is IEEE Transactions on Cybernetics.
Latest Published Articles
-
Adjustable Model-Based Fusion Method for Multispectral and Panchromatic Images
Wed Jun 20 00:00:00 EDT 2012 Wed Jun 20 00:00:00 EDT 2012 -
Human-Arm-and-Hand-Dynamic Model With Variability Analyses for a Stylus-Based Haptic Interface
Tue Jun 05 00:00:00 EDT 2012 Tue Jun 05 00:00:00 EDT 2012 -
Multivariate Multilinear Regression
Thu May 31 00:00:00 EDT 2012 Thu May 31 00:00:00 EDT 2012 -
Gait Recognition Across Various Walking Speeds Using Higher Order Shape Configuration Based on a Differential Composition Model
Mon May 28 00:00:00 EDT 2012 Mon May 28 00:00:00 EDT 2012 -
Optimization of Neural Networks Using Variable Structure Systems
Mon May 28 00:00:00 EDT 2012 Mon May 28 00:00:00 EDT 2012
Popular Articles
-
Online Signature Verification With Support Vector Machines Based on LCSS Kernel Functions
Tue Nov 10 00:00:00 EST 2009 Tue Nov 10 00:00:00 EST 2009 -
Extreme Learning Machine for Regression and Multiclass Classification
Thu Oct 06 00:00:00 EDT 2011 Thu Oct 06 00:00:00 EDT 2011 -
An EMG-Based Control for an Upper-Limb Power-Assist Exoskeleton Robot
Fri Feb 10 00:00:00 EST 2012 Fri Feb 10 00:00:00 EST 2012 -
Multiclass Imbalance Problems: Analysis and Potential Solutions
Fri Mar 16 00:00:00 EDT 2012 Fri Mar 16 00:00:00 EDT 2012 -
Discrete-Time Nonlinear HJB Solution Using Approximate Dynamic Programming: Convergence Proof
Fri Jun 27 00:00:00 EDT 2008 Fri Jun 27 00:00:00 EDT 2008
Publish in this Journal
Meet Our Editors
Editor-in-Chief
Dr. Eugene Santos, Jr.
Thayer School of Engineering
Dartmouth College
Popular Documents (January 2019)
Feed
Sponsor
-
Online Signature Verification With Support Vector Machines Based on LCSS Kernel Functions
Publication Year: 2010, Page(s):1088 - 1100
Cited by: Papers (62)In this paper, a new technique for online signature verification or identification is proposed. The technique integrates a longest common subsequences (LCSS) detection algorithm which measures the similarity of signature time series into a kernel function for support vector machines (SVM). LCSS offers the possibility to consider the local variability of signals such as the time series of pen-tip c... View full abstract»
-
Extreme Learning Machine for Regression and Multiclass Classification
Publication Year: 2012, Page(s):513 - 529
Cited by: Papers (1954) | Patents (2)Due to the simplicity of their implementations, least square support vector machine (LS-SVM) and proximal support vector machine (PSVM) have been widely used in binary classification applications. The conventional LS-SVM and PSVM cannot be used in regression and multiclass classification applications directly, although variants of LS-SVM and PSVM have been proposed to handle such cases. This paper... View full abstract»
-
An EMG-Based Control for an Upper-Limb Power-Assist Exoskeleton Robot
Publication Year: 2012, Page(s):1064 - 1071
Cited by: Papers (179)Many kinds of power-assist robots have been developed in order to assist self-rehabilitation and/or daily life motions of physically weak persons. Several kinds of control methods have been proposed to control the power-assist robots according to user's motion intention. In this paper, an electromyogram (EMG)-based impedance control method for an upper-limb power-assist exoskeleton robot is propos... View full abstract»
-
Multiclass Imbalance Problems: Analysis and Potential Solutions
Publication Year: 2012, Page(s):1119 - 1130
Cited by: Papers (141)Class imbalance problems have drawn growing interest recently because of their classification difficulty caused by the imbalanced class distributions. In particular, many ensemble methods have been proposed to deal with such imbalance. However, most efforts so far are only focused on two-class imbalance problems. There are unsolved issues in multiclass imbalance problems, which exist in real-world... View full abstract»
-
Discrete-Time Nonlinear HJB Solution Using Approximate Dynamic Programming: Convergence Proof
Publication Year: 2008, Page(s):943 - 949
Cited by: Papers (443)Convergence of the value-iteration-based heuristic dynamic programming (HDP) algorithm is proven in the case of general nonlinear systems. That is, it is shown that HDP converges to the optimal control and the optimal value function that solves the Hamilton-Jacobi-Bellman equation appearing in infinite-horizon discrete-time (DT) nonlinear optimal control. It is assumed that, at each iteration, the... View full abstract»
-
Adaptive Particle Swarm Optimization
Publication Year: 2009, Page(s):1362 - 1381
Cited by: Papers (758)An adaptive particle swarm optimization (APSO) that features better search efficiency than classical particle swarm optimization (PSO) is presented. More importantly, it can perform a global search over the entire search space with faster convergence speed. The APSO consists of two main steps. First, by evaluating the population distribution and particle fitness, a real-time evolutionary state est... View full abstract»
-
Reinforcement Learning Versus Model Predictive Control: A Comparison on a Power System Problem
Publication Year: 2009, Page(s):517 - 529
Cited by: Papers (52)This paper compares reinforcement learning (RL) with model predictive control (MPC) in a unified framework and reports experimental results of their application to the synthesis of a controller for a nonlinear and deterministic electrical power oscillations damping problem. Both families of methods are based on the formulation of the control problem as a discrete-time optimal control problem. The ... View full abstract»
-
Exploratory Undersampling for Class-Imbalance Learning
Publication Year: 2009, Page(s):539 - 550
Cited by: Papers (401)Undersampling is a popular method in dealing with class-imbalance problems, which uses only a subset of the majority class and thus is very efficient. The main deficiency is that many majority class examples are ignored. We propose two algorithms to overcome this deficiency. EasyEnsemble samples several subsets from the majority class, trains a learner using each of them, and combines the outputs ... View full abstract»
-
Second-Order Consensus for Multiagent Systems With Directed Topologies and Nonlinear Dynamics
Publication Year: 2010, Page(s):881 - 891
Cited by: Papers (519)This paper considers a second-order consensus problem for multiagent systems with nonlinear dynamics and directed topologies where each agent is governed by both position and velocity consensus terms with a time-varying asymptotic velocity. To describe the system's ability for reaching consensus, a new concept about the generalized algebraic connectivity is defined for strongly connected networks ... View full abstract»
-
Ant system: optimization by a colony of cooperating agents
Publication Year: 1996, Page(s):29 - 41
Cited by: Papers (4886) | Patents (20)An analogy with the way ant colonies function has suggested the definition of a new computational paradigm, which we call ant system (AS). We propose it as a viable new approach to stochastic combinatorial optimization. The main characteristics of this model are positive feedback, distributed computation, and the use of a constructive greedy heuristic. Positive feedback accounts for rapid discover... View full abstract»
-
On Learning, Representing, and Generalizing a Task in a Humanoid Robot
Publication Year: 2007, Page(s):286 - 298
Cited by: Papers (458) | Patents (1)We present a programming-by-demonstration framework for generically extracting the relevant features of a given task and for addressing the problem of generalizing the acquired knowledge to different contexts. We validate the architecture through a series of experiments, in which a human demonstrator teaches a humanoid robot simple manipulatory tasks. A probability-based estimation of the relevanc... View full abstract»
-
Dynamics of facial expression: recognition of facial actions and their temporal segments from face profile image sequences
Publication Year: 2006, Page(s):433 - 449
Cited by: Papers (251) | Patents (1)Automatic analysis of human facial expression is a challenging problem with many applications. Most of the existing automated systems for facial expression analysis attempt to recognize a few prototypic emotional expressions, such as anger and happiness. Instead of representing another approach to machine analysis of prototypic facial expressions of emotion, the method presented in this paper atte... View full abstract»
-
Reinforcement Learning for Partially Observable Dynamic Processes: Adaptive Dynamic Programming Using Measured Output Data
Publication Year: 2011, Page(s):14 - 25
Cited by: Papers (178)Approximate dynamic programming (ADP) is a class of reinforcement learning methods that have shown their importance in a variety of applications, including feedback control of dynamical systems. ADP generally requires full information about the system internal states, which is usually not available in practical situations. In this paper, we show how to implement ADP methods using only measured inp... View full abstract»
-
Human-robot interactions during the robot-assisted urban search and rescue response at the World Trade Center
Publication Year: 2003, Page(s):367 - 385
Cited by: Papers (217) | Patents (1)The World Trade Center (WTC) rescue response provided an unfortunate opportunity to study the human-robot interactions (HRI) during a real unstaged rescue for the first time. A post-hoc analysis was performed on the data collected during the response, which resulted in 17 findings on the impact of the environment and conditions on the HRI: the skills displayed and needed by robots and humans, the ... View full abstract»
-
A Self-Learning Particle Swarm Optimizer for Global Optimization Problems
Publication Year: 2012, Page(s):627 - 646
Cited by: Papers (155)Particle swarm optimization (PSO) has been shown as an effective tool for solving global optimization problems. So far, most PSO algorithms use a single learning pattern for all particles, which means that all particles in a swarm use the same strategy. This monotonic learning pattern may cause the lack of intelligence for a particular particle, which makes it unable to deal with different complex... View full abstract»
-
Adaptive Sliding-Mode Control for NonlinearSystems With Uncertain Parameters
Publication Year: 2008, Page(s):534 - 539
Cited by: Papers (189)This correspondence proposes a systematic adaptive sliding- mode controller design for the robust control of nonlinear systems with uncertain parameters. An adaptation tuning approach without high- frequency switching is developed to deal with unknown but bounded system uncertainties. Tracking performance is guaranteed. System robustness, as well as stability, is proven by using the Lyapunov theor... View full abstract»
-
AdaBoost-Based Algorithm for Network Intrusion Detection
Publication Year: 2008, Page(s):577 - 583
Cited by: Papers (102) | Patents (14)Network intrusion detection aims at distinguishing the attacks on the Internet from normal use of the Internet. It is an indispensable part of the information security system. Due to the variety of network behaviors and the rapid development of attack fashions, it is necessary to develop fast machine-learning-based intrusion detection algorithms with high detection rates and low false-alarm rates.... View full abstract»
-
Robust
Publication Year: 2007, Page(s):916 - 924 Control for Networked Systems With Random Packet Losses$H_{\infty}$
Cited by: Papers (334)In this paper, the robust Hinfin control problem Is considered for a class of networked systems with random communication packet losses. Because of the limited bandwidth of the channels, such random packet losses could occur, simultaneously, in the communication channels from the sensor to the controller and from the controller to the actuator. The random packet loss is assumed to obey the Bernoul... View full abstract»
-
Ensemble Algorithms in Reinforcement Learning
Publication Year: 2008, Page(s):930 - 936
Cited by: Papers (37)This paper describes several ensemble methods that combine multiple different reinforcement learning (RL) algorithms in a single agent. The aim is to enhance learning speed and final performance by combining the chosen actions or action probabilities of different RL algorithms. We designed and implemented four different ensemble methods combining the following five different RL algorithms: <i&g... View full abstract»
-
An approach to online identification of Takagi-Sugeno fuzzy models
Publication Year: 2004, Page(s):484 - 498
Cited by: Papers (576) | Patents (1)An approach to the online learning of Takagi-Sugeno (TS) type models is proposed in the paper. It is based on a novel learning algorithm that recursively updates TS model structure and parameters by combining supervised and unsupervised learning. The rule-base and parameters of the TS model continually evolve by adding new rules with more summarization power and by modifying existing rules and par... View full abstract»
-
A Novel Infinite-Time Optimal Tracking Control Scheme for a Class of Discrete-Time Nonlinear Systems via the Greedy HDP Iteration Algorithm
Publication Year: 2008, Page(s):937 - 942
Cited by: Papers (278)In this paper, we aim to solve the infinite-time optimal tracking control problem for a class of discrete-time nonlinear systems using the greedy heuristic dynamic programming (HDP) iteration algorithm. A new type of performance index is defined because the existing performance indexes are very difficult in solving this kind of tracking problem, if not impossible. Via system transformation, the op... View full abstract»
-
Synchronization and State Estimation for Discrete-Time Complex Networks With Distributed Delays
Publication Year: 2008, Page(s):1314 - 1325
Cited by: Papers (309)In this paper, a synchronization problem is investigated for an array of coupled complex discrete-time networks with the simultaneous presence of both the discrete and distributed time delays. The complex networks addressed which include neural and social networks as special cases are quite general. Rather than the commonly used Lipschitz-type function, a more general sector-like nonlinear functio... View full abstract»
-
Supervised nonlinear dimensionality reduction for visualization and classification
Publication Year: 2005, Page(s):1098 - 1107
Cited by: Papers (231) | Patents (2)When performing visualization and classification, people often confront the problem of dimensionality reduction. Isomap is one of the most promising nonlinear dimensionality reduction techniques. However, when Isomap is applied to real-world data, it shows some limitations, such as being sensitive to noise. In this paper, an improved version of Isomap, namely S-Isomap, is proposed. S-Isomap utiliz... View full abstract»
-
Applications of Artificial Intelligence in Safe Human–Robot Interactions
Publication Year: 2011, Page(s):448 - 459
Cited by: Papers (17)The integration of industrial robots into the human workspace presents a set of unique challenges. This paper introduces a new sensory system for modeling, tracking, and predicting human motions within a robot workspace. A reactive control scheme to modify a robot's operations for accommodating the presence of the human within the robot workspace is also presented. To this end, a special class of ... View full abstract»
-
An Adaptive Differential Evolution Algorithm With Novel Mutation and Crossover Strategies for Global Numerical Optimization
Publication Year: 2012, Page(s):482 - 500
Cited by: Papers (259)Differential evolution (DE) is one of the most powerful stochastic real parameter optimizers of current interest. In this paper, we propose a new mutation strategy, a fitness- induced parent selection scheme for the binomial crossover of DE, and a simple but effective scheme of adapting two of its most important control parameters with an objective of achieving improved performance. The new mutati... View full abstract»
Aims & Scope
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics focuses on cybernetics, including communication and control across humans, machines and organizations at the structural or neural level
This Transactions ceased production in 2012. The current retitled publication is IEEE Transactions on Cybernetics.
Meet Our Editors
Editor-in-Chief
Dr. Eugene Santos, Jr.
Thayer School of Engineering
Dartmouth College
Further Links
Aims & Scope
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics focuses on cybernetics, including communication and control across humans, machines and organizations at the structural or neural level, as well as at functional and purposeful levels; design and development of biologically and linguistically motivated computational paradigms emphasizing vision, neural networks, genetic algorithms, fuzzy systems, automated planning, computational intelligence, and robotics.
Indexed in Pubmed® and Medline®, products of the United States National Laboratory of Medicine
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=3477 More »
Frequency: 6
ISSN: 1083-4419
Publication Details:
ISSN: 1083-4419
Publication Details: IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Subjects
- Communication, Networking & Broadcasting
- Components, Circuits, Devices & Systems
- Computing & Processing
- General Topics for Engineers
- Power, Energy, & Industry Applications
- Robotics & Control Systems
- Signal Processing & Analysis
Contacts
Editor-in-Chief
Dr. Eugene Santos, Jr.
Thayer School of Engineering
Dartmouth College
8000 Cummings Hall
Hanover, NH 03755 03755 USA
Eugene.Santos.Jr@Dartmouth.edu
Phone:+1 603 646 6490
Fax:+1 603 646 2277
About this Journal
Author Resources
Sponsor

Previous Titles
- ( 1996 - 2012 ) IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)
- ( 1971 - 1995 ) IEEE Transactions on Systems, Man, and Cybernetics
- ( 1968 - 1970 ) IEEE Transactions on Man-Machine Systems
- ( 1965 - 1970 ) IEEE Transactions on Systems Science and Cybernetics
- ( 1963 - 1967 ) IEEE Transactions on Human Factors in Electronics
- ( 1960 - 1962 ) IRE Transactions on Human Factors in Electronics
Contacts
Editor-in-Chief
Dr. Eugene Santos, Jr.
Thayer School of Engineering
Dartmouth College