Volume 44 Issue 11 • Nov. 2014
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Table of contents
Publication Year: 2014, Page(s):C1 - 1993|
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IEEE Transactions on Cybernetics publication information
Publication Year: 2014, Page(s): C2|
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Guest Editorial: Introduction to the Special Issue on Resilient Control Architectures and Systems
Publication Year: 2014, Page(s):1994 - 1996
Cited by: Papers (1) -
Adaptive GSA-Based Optimal Tuning of PI Controlled Servo Systems With Reduced Process Parametric Sensitivity, Robust Stability and Controller Robustness
Publication Year: 2014, Page(s):1997 - 2009
Cited by: Papers (12)This paper suggests a new generation of optimal PI controllers for a class of servo systems characterized by saturation and dead zone static nonlinearities and second-order models with an integral component. The objective functions are expressed as the integral of time multiplied by absolute error plus the weighted sum of the integrals of output sensitivity functions of the state sensitivity model... View full abstract»
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Resilient Monitoring Systems: Architecture, Design, and Application to Boiler/Turbine Plant
Publication Year: 2014, Page(s):2010 - 2023
Cited by: Papers (6)Resilient monitoring systems, considered in this paper, are sensor networks that degrade gracefully under malicious attacks on their sensors, causing them to project misleading information. The goal of this paper is to design, analyze, and evaluate the performance of a resilient monitoring system intended to monitor plant conditions (normal or anomalous). The architecture developed consists of fou... View full abstract»
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Distributed Fault Detection and Isolation Resilient to Network Model Uncertainties
Publication Year: 2014, Page(s):2024 - 2037
Cited by: Papers (27)The ability to maintain state awareness in the face of unexpected and unmodeled errors and threats is a defining feature of a resilient control system. Therefore, in this paper, we study the problem of distributed fault detection and isolation (FDI) in large networked systems with uncertain system models. The linear networked system is composed of interconnected subsystems and may be represented a... View full abstract»
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Resilient Distributed Control in the Presence of Misbehaving Agents in Networked Control Systems
Publication Year: 2014, Page(s):2038 - 2049
Cited by: Papers (29)In this paper, we study the problem of reaching a consensus among all the agents in the networked control systems (NCS) in the presence of misbehaving agents. A reputation-based resilient distributed control algorithm is first proposed for the leader-follower consensus network. The proposed algorithm embeds a resilience mechanism that includes four phases (detection, mitigation, identification, an... View full abstract»
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Studies on Resilient Control Through Multiagent Consensus Networks Subject to Disturbances
Publication Year: 2014, Page(s):2050 - 2064
Cited by: Papers (19)Resiliency is one of the most critical objectives found in complex industrial applications today and designing control systems to provide resiliency is an open problem. This paper proposes resilient control design guidelines for industrial systems that can be modeled as networked multiagent consensus systems subject to disturbances or noise. We give a general analysis of multiagent consensus netwo... View full abstract»
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FN-DFE: Fuzzy-Neural Data Fusion Engine for Enhanced Resilient State-Awareness of Hybrid Energy Systems
Publication Year: 2014, Page(s):2065 - 2075
Cited by: Papers (12)Resiliency and improved state-awareness of modern critical infrastructures, such as energy production and industrial systems, is becoming increasingly important. As control systems become increasingly complex, the number of inputs and outputs increase. Therefore, in order to maintain sufficient levels of state-awareness, a robust system state monitoring must be implemented that correctly identifie... View full abstract»
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Wireless Sensing and Vibration Control With Increased Redundancy and Robustness Design
Publication Year: 2014, Page(s):2076 - 2087
Cited by: Papers (4)Control systems with long distance sensor and actuator wiring have the problem of high system cost and increased sensor noise. Wireless sensor network (WSN)-based control systems are an alternative solution involving lower setup and maintenance costs and reduced sensor noise. However, WSN-based control systems also encounter problems such as possible data loss, irregular sampling periods (due to t... View full abstract»
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Learning Locality Preserving Graph from Data
Publication Year: 2014, Page(s):2088 - 2098
Cited by: Papers (14)Machine learning based on graph representation, or manifold learning, has attracted great interest in recent years. As the discrete approximation of data manifold, the graph plays a crucial role in these kinds of learning approaches. In this paper, we propose a novel learning method for graph construction, which is distinct from previous methods in that it solves an optimization problem with the a... View full abstract»
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Human Body Segmentation via Data-Driven Graph Cut
Publication Year: 2014, Page(s):2099 - 2108
Cited by: Papers (4)Human body segmentation is a challenging and important problem in computer vision. Existing methods usually entail a time-consuming training phase for prior knowledge learning with complex shape matching for body segmentation. In this paper, we propose a data-driven method that integrates top-down body pose information and bottom-up low-level visual cues for segmenting humans in static images with... View full abstract»
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Onboard Centralized Frame Tree Database for Intelligent Space Operations of the Mars Science Laboratory Rover
Publication Year: 2014, Page(s):2109 - 2121
Cited by: Papers (1)Planetary surface science operations performed by robotic space systems frequently require pointing cameras at various objects and moving a robotic arm end effector tool toward specific targets. Earlier NASA Mars Exploration Rovers did not have the ability to compute actual coordinates for given object coordinate frame names and had to be provided with explicit coordinates. Since it sometimes take... View full abstract»
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Distributed Object Detection With Linear SVMs
Publication Year: 2014, Page(s):2122 - 2133
Cited by: Papers (37)In vision and learning, low computational complexity and high generalization are two important goals for video object detection. Low computational complexity here means not only fast speed but also less energy consumption. The sliding window object detection method with linear support vector machines (SVMs) is a general object detection framework. The computational cost is herein mainly paid in co... View full abstract»
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Robust Object Tracking With Reacquisition Ability Using Online Learned Detector
Publication Year: 2014, Page(s):2134 - 2142
Cited by: Papers (5)Long term tracking is a challenging task for many applications. In this paper, we propose a novel tracking approach that can adapt various appearance changes such as illumination, motion, and occlusions, and owns the ability of robust reacquisition after drifting. We utilize a condensation-based method with an online support vector machine as a reliable observation model to realize adaptive tracki... View full abstract»
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Learning From Errors in Super-Resolution
Publication Year: 2014, Page(s):2143 - 2154
Cited by: Papers (3)A novel framework of learning-based superresolution is proposed by employing the process of learning from the estimation errors. The estimation errors generated by different learning-based super-resolution algorithms are statistically shown to be sparse and uncertain. The sparsity of the estimation errors means most of estimation errors are small enough. The uncertainty of the estimation errors me... View full abstract»
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Topological Coding and Its Application in the Refinement of SIFT
Publication Year: 2014, Page(s):2155 - 2166
Cited by: Papers (2)Point pattern matching plays a prominent role in the fields of computer vision and pattern recognition. A technique combining the circular onion peeling and the radial decomposition is proposed to analyze the topology structure of a point pattern. The analysis derives a feature which records the topological structure of a point pattern. This novel feature is free from isometric assumption. It can ... View full abstract»
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Fast and Accurate Hashing Via Iterative Nearest Neighbors Expansion
Publication Year: 2014, Page(s):2167 - 2177
Cited by: Papers (5)Recently, the hashing techniques have been widely applied to approximate the nearest neighbor search problem in many real applications. The basic idea of these approaches is to generate binary codes for data points which can preserve the similarity between any two of them. Given a query, instead of performing a linear scan of the entire data base, the hashing method can perform a linear scan of th... View full abstract»
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Mathematical and Experimental Analyses of Oppositional Algorithms
Publication Year: 2014, Page(s):2178 - 2189
Cited by: Papers (10)Evolutionary algorithms (EAs) are widely employed for solving optimization problems with rugged fitness landscapes. Opposition-based learning (OBL) is a recent tool developed to improve the convergence rate of EAs. In this paper, we derive the probabilities that distances between OBL points and the optimization problem solution are less than the distance between a given EA individual and the optim... View full abstract»
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Novel Neural Networks-Based Fault Tolerant Control Scheme With Fault Alarm
Publication Year: 2014, Page(s):2190 - 2201
Cited by: Papers (39)In this paper, the problem of adaptive active fault-tolerant control for a class of nonlinear systems with unknown actuator fault is investigated. The actuator fault is assumed to have no traditional affine appearance of the system state variables and control input. The useful property of the basis function of the radial basis function neural network (NN), which will be used in the design of the f... View full abstract»
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A Novel Strategy for Solving the Stochastic Point Location Problem Using a Hierarchical Searching Scheme
Publication Year: 2014, Page(s):2202 - 2220
Cited by: Papers (12)Stochastic point location (SPL) deals with the problem of a learning mechanism (LM) determining the optimal point on the line when the only input it receives are stochastic signals about the direction in which it should move. One can differentiate the SPL from the traditional class of optimization problems by the fact that the former considers the case where the directional information, for exampl... View full abstract»
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Active Robust Optimization: Enhancing Robustness to Uncertain Environments
Publication Year: 2014, Page(s):2221 - 2231
Cited by: Papers (8)Many real world optimization problems involve uncertainties. A solution for such a problem is expected to be robust to these uncertainties. Commonly, robustness is attained by choosing the solution's parameters such that the solution's performance is less influenced by negative effects of the uncertain parameters' variations. This robustness may be viewed as a passive robustness, because once the ... View full abstract»
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A Multiple-Feature and Multiple-Kernel Scene Segmentation Algorithm for Humanoid Robot
Publication Year: 2014, Page(s):2232 - 2240
Cited by: Papers (4)This paper presents a multiple-feature and multiple-kernel support vector machine (MFMK-SVM) methodology to achieve a more reliable and robust segmentation performance for humanoid robot. The pixel wise intensity, gradient, and C1 SMF features are extracted via the local homogeneity model and Gabor filter, which would be used as inputs of MFMK-SVM model. It may provide multiple features of the sam... View full abstract»
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IEEE Systems, Man, and Cybernetics Society Information
Publication Year: 2014, Page(s): C3|
PDF (100 KB)
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IEEE Transactions on Cybernetics information for authors
Publication Year: 2014, Page(s): C4|
PDF (108 KB)
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