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

## Filter Results

Displaying Results 1 - 25 of 25

Publication Year: 2009, Page(s):C1 - 1081
| PDF (146 KB)
• ### IEEE Transactions on Systems, Man, and Cybernetics—Part B: Cybernetics publication information

Publication Year: 2009, Page(s): C2
| PDF (38 KB)
• ### AMPSO: A New Particle Swarm Method for Nearest Neighborhood Classification

Publication Year: 2009, Page(s):1082 - 1091
Cited by:  Papers (54)
| | PDF (243 KB) | HTML

Nearest prototype methods can be quite successful on many pattern classification problems. In these methods, a collection of prototypes has to be found that accurately represents the input patterns. The classifier then assigns classes based on the nearest prototype in this collection. In this paper, we first use the standard particle swarm optimizer (PSO) algorithm to find those prototypes. Second... View full abstract»

• ### A New Approach for Analyzing Average Time Complexity of Population-Based Evolutionary Algorithms on Unimodal Problems

Publication Year: 2009, Page(s):1092 - 1106
Cited by:  Papers (27)
| | PDF (290 KB) | HTML

In the past decades, many theoretical results related to the time complexity of evolutionary algorithms (EAs) on different problems are obtained. However, there is not any general and easy-to-apply approach designed particularly for population-based EAs on unimodal problems. In this paper, we first generalize the concept of the takeover time to EAs with mutation, then we utilize the generalized ta... View full abstract»

• ### Networked Data Fusion With Packet Losses and Variable Delays

Publication Year: 2009, Page(s):1107 - 1120
Cited by:  Papers (66)
| | PDF (1216 KB) | HTML

A novel networked multisensor data-fusion method is developed in this paper. A federated filter is employed to fuse the data transmitted over the network, which plays an important role in the data-processing center. The stability of filters under the network is considered; an algorithm to deal with the delayed data is introduced, and the principle for data fusion is presented. Finally, two numeric... View full abstract»

• ### Identification of Neurofuzzy Models Using GTLS Parameter Estimation

Publication Year: 2009, Page(s):1121 - 1133
Cited by:  Papers (27)
| | PDF (606 KB) | HTML

In this paper, nonlinear system identification utilizing generalized total least squares (GTLS) methodologies in neurofuzzy systems is addressed. The problem involved with the estimation of the local model parameters of neurofuzzy networks is the presence of noise in measured data. When some or all input channels are subject to noise, the GTLS algorithm yields consistent parameter estimates. In ad... View full abstract»

• ### Distributed Visual-Target-Surveillance System in Wireless Sensor Networks

Publication Year: 2009, Page(s):1134 - 1146
Cited by:  Papers (44)
| | PDF (729 KB) | HTML

A wireless sensor network (WSN) is a powerful unattended distributed measurement system, which is widely used in target surveillance because of its outstanding performance in distributed sensing and signal processing. This paper introduces a multiview visual-target-surveillance system in WSN, which can autonomously implement target classification and tracking with collaborative online learning and... View full abstract»

• ### Unsupervised Active Learning Based on Hierarchical Graph-Theoretic Clustering

Publication Year: 2009, Page(s):1147 - 1161
Cited by:  Papers (25)
| | PDF (806 KB) | HTML

Most existing active learning approaches are supervised. Supervised active learning has the following problems: inefficiency in dealing with the semantic gap between the distribution of samples in the feature space and their labels, lack of ability in selecting new samples that belong to new categories that have not yet appeared in the training samples, and lack of adaptability to changes in the s... View full abstract»

• ### Reinforcement-Learning-Based Output-Feedback Control of Nonstrict Nonlinear Discrete-Time Systems With Application to Engine Emission Control

Publication Year: 2009, Page(s):1162 - 1179
Cited by:  Papers (7)
| | PDF (1131 KB) | HTML

A novel reinforcement-learning-based output adaptive neural network (NN) controller, which is also referred to as the adaptive-critic NN controller, is developed to deliver the desired tracking performance for a class of nonlinear discrete-time systems expressed in nonstrict feedback form in the presence of bounded and unknown disturbances. The adaptive-critic NN controller consists of an observer... View full abstract»

• ### Approximate Adaptive Output Feedback Stabilization via Passivation of MIMO Uncertain Systems Using Neural Networks

Publication Year: 2009, Page(s):1180 - 1191
Cited by:  Papers (7)
| | PDF (248 KB) | HTML

An adaptive output feedback neural network controller is designed, which is capable of rendering affine-in-the-control uncertain multi-input-multi-output nonlinear systems strictly passive with respect to an appropriately defined set. Consequently, a simple output feedback is employed to stabilize the system. The controlled system need not be in normal form or have a well-defined relative degree. ... View full abstract»

• ### Achieving Microaggregation for Secure Statistical Databases Using Fixed-Structure Partitioning-Based Learning Automata

Publication Year: 2009, Page(s):1192 - 1205
Cited by:  Papers (6)
| | PDF (428 KB) | HTML

We consider the microaggregation problem (MAP) that involves partitioning a set of individual records in a microdata file into a number of mutually exclusive and exhaustive groups. This problem, which seeks for the best partition of the microdata file, is known to be NP-hard and has been tackled using many heuristic solutions. In this paper, we present the first reported fixed-structure-stochastic... View full abstract»

• ### Multiclass Classification Based on Extended Support Vector Data Description

Publication Year: 2009, Page(s):1206 - 1216
Cited by:  Papers (32)
| | PDF (1312 KB) | HTML

We propose two variations of the support vector data description (SVDD) with negative samples (NSVDD) that learn a closed spherically shaped boundary around a set of samples in the target class by involving different forms of slack vectors, including the two-norm NSVDD and nu-NSVDD. We extend the NSVDDs to solve the multiclass classification problems based on the distances between the samples and ... View full abstract»

• ### Color Face Recognition for Degraded Face Images

Publication Year: 2009, Page(s):1217 - 1230
Cited by:  Papers (49)  |  Patents (1)
| | PDF (1167 KB) | HTML

In many current face-recognition (FR) applications, such as video surveillance security and content annotation in a Web environment, low-resolution faces are commonly encountered and negatively impact on reliable recognition performance. In particular, the recognition accuracy of current intensity-based FR systems can significantly drop off if the resolution of facial images is smaller than a cert... View full abstract»

• ### Heuristic Kalman Algorithm for Solving Optimization Problems

Publication Year: 2009, Page(s):1231 - 1244
Cited by:  Papers (9)
| | PDF (448 KB) | HTML

The main objective of this paper is to present a new optimization approach, which we call heuristic Kalman algorithm (HKA). We propose it as a viable approach for solving continuous nonconvex optimization problems. The principle of the proposed approach is to consider explicitly the optimization problem as a measurement process designed to produce an estimate of the optimum. A specific procedure, ... View full abstract»

• ### Control Synthesis of Continuous-Time T-S Fuzzy Systems With Local Nonlinear Models

Publication Year: 2009, Page(s):1245 - 1258
Cited by:  Papers (55)
| | PDF (569 KB) | HTML

This paper is concerned with the problem of designing fuzzy controllers for a class of nonlinear dynamic systems. The considered nonlinear systems are described by T-S fuzzy models with nonlinear local models, and the fuzzy models have fewer fuzzy rules than conventional T-S fuzzy models with local linear models. A new fuzzy control scheme with local nonlinear feedbacks is proposed, and the corres... View full abstract»

• ### Multirobot Object Localization: A Fuzzy Fusion Approach

Publication Year: 2009, Page(s):1259 - 1276
Cited by:  Papers (23)
| | PDF (1356 KB) | HTML

In this paper, we address the problem of fusing information about object positions in multirobot systems. Our approach is novel in two main respects. First, it addresses the multirobot object localization problem using fuzzy logic. It uses fuzzy sets to represent uncertain position information and fuzzy intersection to fuse this information. The result of this fusion is a consensus among sources, ... View full abstract»

• ### Set-Theoretic Estimation of Hybrid System Configurations

Publication Year: 2009, Page(s):1277 - 1291
Cited by:  Papers (11)
| | PDF (707 KB) | HTML

Hybrid systems serve as a powerful modeling paradigm for representing complex continuous controlled systems that exhibit discrete switches in their dynamics. The system and the models of the system are nondeterministic due to operation in uncertain environment. Bayesian belief update approaches to stochastic hybrid system state estimation face a blow up in the number of state estimates. Therefore,... View full abstract»

• ### Fast and Efficient Strategies for Model Selection of Gaussian Support Vector Machine

Publication Year: 2009, Page(s):1292 - 1307
Cited by:  Papers (37)
| | PDF (1135 KB) | HTML

Two strategies for selecting the kernel parameter (sigma) and the penalty coefficient (C) of Gaussian support vector machines (SVMs) are suggested in this paper. Based on viewing the model parameter selection problem as a recognition problem in visual systems, a direct parameter setting formula for the kernel parameter is derived through finding a visual scale at which the global and local ... View full abstract»

• ### ${cal L}_{2}$– ${cal L}_{infty}$ Control of Nonlinear Fuzzy ItÔ Stochastic Delay Systems via Dynamic Output Feedback

Publication Year: 2009, Page(s):1308 - 1315
Cited by:  Papers (78)
| | PDF (224 KB) | HTML

This paper addresses the L 2- L infin dynamic output feedback (DOF) control problem for a class of nonlinear fuzzy Ito stochastic systems with time-varying delay. The focus is placed upon the design of a fuzzy DOF controller guaranteeing a prescribed noise attenuation level in an L 2-L infin sense. By using the slack matrix ap... View full abstract»

• ### Neural-Network-Based Decentralized Adaptive Control for a Class of Large-Scale Nonlinear Systems With Unknown Time-Varying Delays

Publication Year: 2009, Page(s):1316 - 1323
Cited by:  Papers (70)
| | PDF (259 KB) | HTML

A decentralized adaptive methodology is presented for large-scale nonlinear systems with model uncertainties and time-delayed interconnections unmatched in control inputs. The interaction terms with unknown time-varying delays are bounded by unknown nonlinear bounding functions related to all states and are compensated by choosing appropriate Lyapunov-Krasovskii functionals and using the function ... View full abstract»

• ### Hierarchical Control Models for Multimodal Process Modeling

Publication Year: 2009, Page(s):1324 - 1329
Cited by:  Papers (1)
| | PDF (685 KB) | HTML

The multimodal and hierarchical structure characteristics of a system make process modeling quite difficult. In this paper, we present a hierarchical control model (HCM) for hierarchically multimodal processing. From multiple streams, a control layer extracts the inherent group process that denotes the evolution of the system and controls the evolution of every modality. HCMs model the influences ... View full abstract»

Publication Year: 2009, Page(s): 1330
| PDF (205 KB)
• ### IEEE 2009 Membership Application

Publication Year: 2009, Page(s):1331 - 1332
| PDF (1212 KB)
• ### IEEE Systems, Man, and Cybernetics Society Information

Publication Year: 2009, Page(s): C3
| PDF (29 KB)
• ### IEEE Transactions on Systems, Man, and Cybernetics—Part B: Cybernetics Information for authors

Publication Year: 2009, Page(s): C4
| PDF (33 KB)

## 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 Transaction 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