Scheduled System Maintenance
IEEE Xplore is currently undergoing scheduled maintenance.
During this time, there may be intermittent impact on performance. We apologize for any inconvenience.

# IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)

Includes the top 50 most frequently accessed documents for this publication according to the usage statistics for the month of

• ### Extreme Learning Machine for Regression and Multiclass Classification

Publication Year: 2012, Page(s):513 - 529
Cited by:  Papers (1837)  |  Patents (2)
| | PDF (1244 KB) | HTML

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 (171)
| | PDF (1224 KB) | HTML

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 (132)
| | PDF (1096 KB) | HTML

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»

• ### Adaptive Particle Swarm Optimization

Publication Year: 2009, Page(s):1362 - 1381
Cited by:  Papers (742)
| | PDF (895 KB) | HTML

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 (50)
| | PDF (1038 KB) | HTML

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 (386)
| | PDF (653 KB) | HTML

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 (507)
| | PDF (319 KB) | HTML

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»

• ### 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 (209)  |  Patents (1)
| | PDF (2269 KB) | HTML

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»

• ### Ant system: optimization by a colony of cooperating agents

Publication Year: 1996, Page(s):29 - 41
Cited by:  Papers (4733)  |  Patents (20)
| | PDF (1574 KB)

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»

• ### 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 (242)  |  Patents (1)
| | PDF (4689 KB) | HTML

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 (169)
| | PDF (473 KB) | HTML

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»

• ### Adaptive Sliding-Mode Control for NonlinearSystems With Uncertain Parameters

Publication Year: 2008, Page(s):534 - 539
Cited by:  Papers (187)
| | PDF (312 KB) | HTML

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»

• ### A Self-Learning Particle Swarm Optimizer for Global Optimization Problems

Publication Year: 2012, Page(s):627 - 646
Cited by:  Papers (150)
| | PDF (832 KB) | HTML

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»

• ### Discrete-Time Nonlinear HJB Solution Using Approximate Dynamic Programming: Convergence Proof

Publication Year: 2008, Page(s):943 - 949
Cited by:  Papers (431)
| | PDF (233 KB) | HTML

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»

• ### On Learning, Representing, and Generalizing a Task in a Humanoid Robot

Publication Year: 2007, Page(s):286 - 298
Cited by:  Papers (438)  |  Patents (1)
| | PDF (1110 KB) | HTML

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»

• ### Applications of Artificial Intelligence in Safe Human–Robot Interactions

Publication Year: 2011, Page(s):448 - 459
Cited by:  Papers (17)
| | PDF (1308 KB) | HTML

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»

• ### Multiview Spectral Embedding

Publication Year: 2010, Page(s):1438 - 1446
Cited by:  Papers (200)
| | PDF (863 KB) | HTML

In computer vision and multimedia search, it is common to use multiple features from different views to represent an object. For example, to well characterize a natural scene image, it is essential to find a set of visual features to represent its color, texture, and shape information and encode each feature into a vector. Therefore, we have a set of vectors in different spaces to represent the im... View full abstract»

• ### AdaBoost-Based Algorithm for Network Intrusion Detection

Publication Year: 2008, Page(s):577 - 583
Cited by:  Papers (100)  |  Patents (14)
| | PDF (188 KB) | HTML

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»

• ### Development of a biomimetic robotic fish and its control algorithm

Publication Year: 2004, Page(s):1798 - 1810
Cited by:  Papers (247)
| | PDF (542 KB) | HTML

This paper is concerned with the design of a robotic fish and its motion control algorithms. A radio-controlled, four-link biomimetic robotic fish is developed using a flexible posterior body and an oscillating foil as a propeller. The swimming speed of the robotic fish is adjusted by modulating joint's oscillating frequency, and its orientation is tuned by different joint's deflections. Since the... View full abstract»

• ### An approach to online identification of Takagi-Sugeno fuzzy models

Publication Year: 2004, Page(s):484 - 498
Cited by:  Papers (563)  |  Patents (1)
| | PDF (806 KB) | HTML

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»

• ### Phase-based dual-microphone robust speech enhancement

Publication Year: 2004, Page(s):1763 - 1773
Cited by:  Papers (68)  |  Patents (16)
| | PDF (461 KB) | HTML

A dual-microphone speech-signal enhancement algorithm, utilizing phase-error based filters that depend only on the phase of the signals, is proposed. This algorithm involves obtaining time-varying, or alternatively, time-frequency (TF), phase-error filters based on prior knowledge regarding the time difference of arrival (TDOA) of the speech source of interest and the phases of the signals recorde... View full abstract»

• ### Observer-Based Adaptive Fuzzy Backstepping Control for a Class of Stochastic Nonlinear Strict-Feedback Systems

Publication Year: 2011, Page(s):1693 - 1704
Cited by:  Papers (321)
| | PDF (256 KB) | HTML

In this paper, two adaptive fuzzy output feedback control approaches are proposed for a class of uncertain stochastic nonlinear strict-feedback systems without the measurements of the states. The fuzzy logic systems are used to approximate the unknown nonlinear functions, and a fuzzy state observer is designed for estimating the unmeasured states. On the basis of the fuzzy state observer, and by c... View full abstract»

• ### A New Approach to Stability Analysis and Stabilization of Discrete-Time T-S Fuzzy Time-Varying Delay Systems

Publication Year: 2011, Page(s):273 - 286
Cited by:  Papers (314)
| | PDF (287 KB) | HTML

This paper investigates the problems of stability analysis and stabilization for a class of discrete-time Takagi-Sugeno fuzzy systems with time-varying state delay. Based on a novel fuzzy Lyapunov-Krasovskii functional, a delay partitioning method has been developed for the delay-dependent stability analysis of fuzzy time-varying state delay systems. As a result of the novel idea of delay partitio... View full abstract»

• ### Multisensor-Based Human Detection and Tracking for Mobile Service Robots

Publication Year: 2009, Page(s):167 - 181
Cited by:  Papers (150)
| | PDF (1496 KB) | HTML Media

One of fundamental issues for service robots is human-robot interaction. In order to perform such a task and provide the desired services, these robots need to detect and track people in the surroundings. In this paper, we propose a solution for human tracking with a mobile robot that implements multisensor data fusion techniques. The system utilizes a new algorithm for laser-based leg detection u... View full abstract»

• ### Active Learning From Stream Data Using Optimal Weight Classifier Ensemble

Publication Year: 2010, Page(s):1607 - 1621
Cited by:  Papers (50)
| | PDF (826 KB) | HTML

In this paper, we propose a new research problem on active learning from data streams, where data volumes grow continuously, and labeling all data is considered expensive and impractical. The objective is to label a small portion of stream data from which a model is derived to predict future instances as accurately as possible. To tackle the technical challenges raised by the dynamic nature of the... View full abstract»

• ### Quantum Reinforcement Learning

Publication Year: 2008, Page(s):1207 - 1220
Cited by:  Papers (66)
| | PDF (1022 KB) | HTML

The key approaches for machine learning, particularly learning in unknown probabilistic environments, are new representations and computation mechanisms. In this paper, a novel quantum reinforcement learning (QRL) method is proposed by combining quantum theory and reinforcement learning (RL). Inspired by the state superposition principle and quantum parallelism, a framework of a value-updating alg... View full abstract»

• ### Adaptive neural control of nonlinear time-delay systems with unknown virtual control coefficients

Publication Year: 2004, Page(s):499 - 516
Cited by:  Papers (370)
| | PDF (475 KB) | HTML

In this paper, adaptive neural control is presented for a class of strict-feedback nonlinear systems with unknown time delays. The proposed design method does not require a priori knowledge of the signs of the unknown virtual control coefficients. The unknown time delays are compensated for using appropriate Lyapunov-Krasovskii functionals in the design. It is proved that the proposed backstepping... View full abstract»

• ### Ensemble Algorithms in Reinforcement Learning

Publication Year: 2008, Page(s):930 - 936
Cited by:  Papers (37)
| | PDF (252 KB) | HTML

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 Adaptive Differential Evolution Algorithm With Novel Mutation and Crossover Strategies for Global Numerical Optimization

Publication Year: 2012, Page(s):482 - 500
Cited by:  Papers (252)
| | PDF (1503 KB) | HTML

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»

• ### A model based on linguistic 2-tuples for dealing with multigranular hierarchical linguistic contexts in multi-expert decision-making

Publication Year: 2001, Page(s):227 - 234
Cited by:  Papers (452)
| | PDF (147 KB) | HTML

In those problems that deal with multiple sources of linguistic information we can find problems defined in contexts where the linguistic assessments are assessed in linguistic term sets with different granularity of uncertainty and/or semantics (multigranular linguistic contexts). Different approaches have been developed to manage this type of contexts, that unify the multigranular linguistic inf... View full abstract»

• ### Fuzzy c-means clustering of incomplete data

Publication Year: 2001, Page(s):735 - 744
Cited by:  Papers (201)
| | PDF (241 KB) | HTML

The problem of clustering a real s-dimensional data set X={x/sub 1/,...,x/sub n/} /spl sub/ R/sup s/ is considered. Usually, each observation (or datum) consists of numerical values for all s features (such as height, length, etc.), but sometimes data sets can contain vectors that are missing one or more of the feature values. For example, a particular datum x/sub k/ might be incomplete, having th... 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 (304)
| | PDF (684 KB) | HTML

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»

• ### A new Q-learning algorithm based on the metropolis criterion

Publication Year: 2004, Page(s):2140 - 2143
Cited by:  Papers (72)
| | PDF (199 KB) | HTML

The balance between exploration and exploitation is one of the key problems of action selection in Q-learning. Pure exploitation causes the agent to reach the locally optimal policies quickly, whereas excessive exploration degrades the performance of the Q-learning algorithm even if it may accelerate the learning process and allow avoiding the locally optimal policies. In this paper, finding the o... View full abstract»

• ### Automatic Face Segmentation and Facial Landmark Detection in Range Images

Publication Year: 2010, Page(s):1319 - 1330
Cited by:  Papers (55)  |  Patents (4)
| | PDF (1682 KB) | HTML

We present a methodology for face segmentation and facial landmark detection in range images. Our goal was to develop an automatic process to be embedded in a face recognition system using only depth information as input. To this end, our segmentation approach combines edge detection, region clustering, and shape analysis to extract the face region, and our landmark detection approach combines sur... View full abstract»

• ### Switching between selection and fusion in combining classifiers: an experiment

Publication Year: 2002, Page(s):146 - 156
Cited by:  Papers (200)  |  Patents (1)
| | PDF (446 KB) | HTML

This paper presents a combination of classifier selection and fusion by using statistical inference to switch between the two. Selection is applied in those regions of the feature space where one classifier strongly dominates the others from the pool [called clustering-and-selection or (CS)] and fusion is applied in the remaining regions. Decision templates (DT) method is adopted for the classifie... View full abstract»

• ### Optimal Linear-Consensus Algorithms: An LQR Perspective

Publication Year: 2010, Page(s):819 - 830
Cited by:  Papers (127)
| | PDF (307 KB) | HTML

Laplacian matrices play an important role in linear-consensus algorithms. This paper studies optimal linear-consensus algorithms for multivehicle systems with single-integrator dynamics in both continuous-time and discrete-time settings. We propose two global cost functions, namely, interaction-free and interaction-related cost functions. With the interaction-free cost function, we derive the opti... View full abstract»

• ### Cooperative Control and Potential Games

Publication Year: 2009, Page(s):1393 - 1407
Cited by:  Papers (204)
| | PDF (640 KB) | HTML

We present a view of cooperative control using the language of learning in games. We review the game-theoretic concepts of potential and weakly acyclic games, and demonstrate how several cooperative control problems, such as consensus and dynamic sensor coverage, can be formulated in these settings. Motivated by this connection, we build upon game-theoretic concepts to better accommodate a broader... View full abstract»

• ### Online Sequential Fuzzy Extreme Learning Machine for Function Approximation and Classification Problems

Publication Year: 2009, Page(s):1067 - 1072
Cited by:  Papers (202)
| | PDF (262 KB) | HTML

In this correspondence, an online sequential fuzzy extreme learning machine (OS-fuzzy-ELM) has been developed for function approximation and classification problems. The equivalence of a Takagi-Sugeno-Kang (TSK) fuzzy inference system (FIS) to a generalized single hidden-layer feedforward network is shown first, which is then used to develop the OS-fuzzy-ELM algorithm. This results in a FIS that c... View full abstract»

• ### Adaptive Fuzzy Output-Feedback Controller Design for Nonlinear Time-Delay Systems With Unknown Control Direction

Publication Year: 2009, Page(s):363 - 374
Cited by:  Papers (147)
| | PDF (243 KB) | HTML

In this paper, the robust-control problem is investigated for a class of uncertain nonlinear time-delay systems via dynamic output-feedback approach. The considered system is in the strict-feedback form with unknown control direction. A full-order observer is constructed with the gains computed via linear matrix inequality at first. Then, with the bounds of uncertain functions known, we design the... View full abstract»

• ### A real-time automated system for the recognition of human facial expressions

Publication Year: 2006, Page(s):96 - 105
Cited by:  Papers (124)
| | PDF (1206 KB) | HTML

A fully automated, multistage system for real-time recognition of facial expression is presented. The system uses facial motion to characterize monochrome frontal views of facial expressions and is able to operate effectively in cluttered and dynamic scenes, recognizing the six emotions universally associated with unique facial expressions, namely happiness, sadness, disgust, surprise, fear, and a... View full abstract»

• ### Supervised nonlinear dimensionality reduction for visualization and classification

Publication Year: 2005, Page(s):1098 - 1107
Cited by:  Papers (225)  |  Patents (2)
| | PDF (1180 KB) | HTML

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»

• ### Wrapper&ndash;Filter Feature Selection Algorithm Using a Memetic Framework

Publication Year: 2007, Page(s):70 - 76
Cited by:  Papers (206)  |  Patents (1)
| | PDF (532 KB) | HTML

This correspondence presents a novel hybrid wrapper and filter feature selection algorithm for a classification problem using a memetic framework. It incorporates a filter ranking method in the traditional genetic algorithm to improve classification performance and accelerate the search in identifying the core feature subsets. Particularly, the method adds or deletes a feature from a candidate fea... View full abstract»

• ### Iris Recognition Using Possibilistic Fuzzy Matching on Local Features

Publication Year: 2012, Page(s):150 - 162
Cited by:  Papers (24)
| | PDF (957 KB) | HTML

In this paper, we propose a novel possibilistic fuzzy matching strategy with invariant properties, which can provide a robust and effective matching scheme for two sets of iris feature points. In addition, the nonlinear normalization model is adopted to provide more accurate position before matching. Moreover, an effective iris segmentation method is proposed to refine the detected inner and outer... View full abstract»

• ### Reinforcement Learning for Resource Allocation in LEO Satellite Networks

Publication Year: 2007, Page(s):515 - 527
Cited by:  Papers (21)
| | PDF (806 KB) | HTML

In this paper, we develop and assess online decision-making algorithms for call admission and routing for low Earth orbit (LEO) satellite networks. It has been shown in a recent paper that, in a LEO satellite system, a semi-Markov decision process formulation of the call admission and routing problem can achieve better performance in terms of an average revenue function than existing routing metho... View full abstract»

• ### Learning Situation Models in a Smart Home

Publication Year: 2009, Page(s):56 - 63
Cited by:  Papers (69)
| | PDF (1399 KB) | HTML

This paper addresses the problem of learning situation models for providing context-aware services. Context for modeling human behavior in a smart environment is represented by a situation model describing environment, users, and their activities. A framework for acquiring and evolving different layers of a situation model in a smart environment is proposed. Different learning methods are presente... View full abstract»

• ### K-Means Clustering Versus Validation Measures: A Data-Distribution Perspective

Publication Year: 2009, Page(s):318 - 331
Cited by:  Papers (82)
| | PDF (966 KB) | HTML

K-means is a well-known and widely used partitional clustering method. While there are considerable research efforts to characterize the key features of the K-means clustering algorithm, further investigation is needed to understand how data distributions can have impact on the performance of K-means clustering. To that end, in this paper, we provide a formal and organized study of the effect of s... View full abstract»

• ### Multirobot systems: a classification focused on coordination

Publication Year: 2004, Page(s):2015 - 2028
Cited by:  Papers (136)  |  Patents (3)
| | PDF (418 KB) | HTML

Multirobot systems (MRS) are, nowadays, an important research area within robotics and artificial intelligence and a growing number of systems have recently been presented in the literature. Since application domains and tasks that are faced by MRS are of increasing complexity, the ability of the robots to cooperate can be regarded as a fundamental feature. In this paper, we present a survey of th... View full abstract»

• ### A Multiple-Kernel Fuzzy C-Means Algorithm for Image Segmentation

Publication Year: 2011, Page(s):1263 - 1274
Cited by:  Papers (105)
| | PDF (633 KB) | HTML

In this paper, a generalized multiple-kernel fuzzy C-means (FCM) (MKFCM) methodology is introduced as a framework for image-segmentation problems. In the framework, aside from the fact that the composite kernels are used in the kernel FCM (KFCM), a linear combination of multiple kernels is proposed and the updating rules for the linear coefficients of the composite kernel are derived as well. The ... View full abstract»

• ### Collaborative Control for a Robotic Wheelchair: Evaluation of Performance, Attention, and Workload

Publication Year: 2012, Page(s):876 - 888
Cited by:  Papers (101)
| | PDF (1605 KB) | HTML

Powered wheelchair users often struggle to drive safely and effectively and, in more critical cases, can only get around when accompanied by an assistant. To address these issues, we propose a collaborative control mechanism that assists users as and when they require help. The system uses a multiple-hypothesis method to predict the driver's intentions and, if necessary, adjusts the control signal... View full abstract»

• ### Robust$H_{\infty}$Control for Networked Systems With Random Packet Losses

Publication Year: 2007, Page(s):916 - 924
Cited by:  Papers (325)
| | PDF (301 KB) | HTML

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»

## 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.

Full Aims & Scope

## Meet Our Editors

Editor-in-Chief
Dr. Eugene Santos, Jr.
Thayer School of Engineering
Dartmouth College