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# IEEE Transactions on Industrial Informatics

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Displaying Results 1 - 25 of 33

Publication Year: 2012
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• ### IEEE Transactions on Industrial Informatics publication information

Publication Year: 2012, Page(s): C2
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• ### Guest Editorial Special Section on Soft Computing in Industrial Informatics

Publication Year: 2012, Page(s):731 - 732
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• ### Minimal Resource Allocating Networks for Discrete Time Sliding Mode Control of Robotic Manipulators

Publication Year: 2012, Page(s):733 - 745
Cited by:  Papers (29)
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This paper presents a discrete-time sliding mode control based on neural networks designed for robotic manipulators. Radial basis function neural networks are used to learn about uncertainties affecting the system. The online learning algorithm combines the growing criterion and the pruning strategy of the minimal resource allocating network technique with an adaptive extended Kalman filter to upd... View full abstract»

• ### Model Predictive Control of Nonlinear Systems With Unmodeled Dynamics Based on Feedforward and Recurrent Neural Networks

Publication Year: 2012, Page(s):746 - 756
Cited by:  Papers (32)
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This paper presents new results on a neural network approach to nonlinear model predictive control. At first, a nonlinear system with unmodeled dynamics is decomposed by means of Jacobian linearization to an affine part and a higher-order unknown term. The unknown higher-order term resulted from the decomposition, together with the unmodeled dynamics of the original plant, are modeled by using a f... View full abstract»

• ### An Adaptive Speed Sensorless Induction Motor Drive With Artificial Neural Network for Stability Enhancement

Publication Year: 2012, Page(s):757 - 766
Cited by:  Papers (35)
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An artificial neural network (ANN) based adaptive estimator is presented in this paper for the estimation of rotor speed in a sensorless vector-controlled induction motor (IM) drive. The model reference adaptive system (MRAS) is formed with instantaneous and steady state reactive power. Selection of reactive power as the functional candidate in MRAS automatically makes the system immune to the var... View full abstract»

• ### Fuzzy Adaptive Internal Model Control Schemes for PMSM Speed-Regulation System

Publication Year: 2012, Page(s):767 - 779
Cited by:  Papers (51)
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In this paper, the speed regulation problem for permanent magnet synchronous motor (PMSM) system under vector control framework is studied. First, a speed regulation scheme based on standard internal model control (IMC) method is designed. For the speed loop, a standard internal model controller is first designed based on a first-order model of PMSM by analyzing the relationship between reference ... View full abstract»

• ### Flame Image-Based Burning State Recognition for Sintering Process of Rotary Kiln Using Heterogeneous Features and Fuzzy Integral

Publication Year: 2012, Page(s):780 - 790
Cited by:  Papers (21)
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Accurate and robust recognition of burning state for sintering process of rotary kiln plays an important role in the design of image-based intelligent control systems. Existing approaches such as consensus-based methods, temperature-based methods and image segmentation-based methods could not achieve satisfactory performance. This paper presents a flame image-based burning state recognition system... View full abstract»

• ### Novel Adaptive Gravitational Search Algorithm for Fuzzy Controlled Servo Systems

Publication Year: 2012, Page(s):791 - 800
Cited by:  Papers (50)
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This paper presents a novel adaptive Gravitational Search Algorithm (GSA) for the optimal tuning of fuzzy controlled servo systems characterized by second-order models with an integral component and variable parameters. The objective functions consist of the output sensitivity functions of the sensitivity models defined with respect to the parametric variations of the processes. The proposed adapt... View full abstract»

• ### Identification and Learning Control of Ocean Surface Ship Using Neural Networks

Publication Year: 2012, Page(s):801 - 810
Cited by:  Papers (75)
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This paper presents the problems of accurate identification and learning control of ocean surface ship in uncertain dynamical environments. Thanks to the universal approximation capabilities, radial basis function neural networks (NNs) are employed to approximate the unknown ocean surface ship dynamics. A stable adaptive NN tracking controller is first designed using backstepping and Lyapunov synt... View full abstract»

• ### Hybrid Incremental Modeling Based on Least Squares and Fuzzy $K$-NN for Monitoring Tool Wear in Turning Processes

Publication Year: 2012, Page(s):811 - 818
Cited by:  Papers (12)  |  Patents (1)
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There is now an emerging need for an efficient modeling strategy to develop a new generation of monitoring systems. One method of approaching the modeling of complex processes is to obtain a global model. It should be able to capture the basic or general behavior of the system, by means of a linear or quadratic regression, and then superimpose a local model on it that can capture the localized non... View full abstract»

• ### Design a Wind Speed Prediction Model Using Probabilistic Fuzzy System

Publication Year: 2012, Page(s):819 - 827
Cited by:  Papers (19)
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Generation of wind is a very complicated process and influenced by large numbers of unknown factors. A probabilistic fuzzy system based prediction model is designed for the short-term wind speed prediction. By introducing the third probability dimension, the proposed prediction model can capture both stochastic and the deterministic uncertainties, and guarantee a better prediction in complex stoch... View full abstract»

• ### Evolutionary Pinning Control and Its Application in UAV Coordination

Publication Year: 2012, Page(s):828 - 838
Cited by:  Papers (69)
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Maximizing the controllability of complex networks by selecting appropriate nodes and designing suitable control gains is an effective way to control distributed complex networks. In this paper, some novel particle swarm optimization (PSO) approaches are developed to enhance the controllability of distributed networks. The proposed PSO algorithm is combined with a global search scheme and a modifi... View full abstract»

• ### A Fuzzy-Based Sensor Validation Strategy for AC Motor Drives

Publication Year: 2012, Page(s):839 - 848
Cited by:  Papers (13)
| | PDF (2002 KB) | HTML

Measurements validation is a critical feature in monitoring systems required by most industry applications to achieve higher level reliability. This paper presents the use of the measurement thresholds generated from the propagation of parametric uncertainty using polynomial chaos theory (PCT) to validate the sensor measurements of an AC motor drive by means of fuzzy techniques. If measurements fa... View full abstract»

• ### Knowledge-Based Global Operation of Mineral Processing Under Uncertainty

Publication Year: 2012, Page(s):849 - 859
Cited by:  Papers (20)
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In this paper, a novel knowledge-based global operation approach is proposed to minimize the effect on the production performance caused by unexpected variations in the operation of a mineral processing plant subjected to uncertainties. For this purpose, a feedback compensation and adaptation signal discovered from process operational data is employed to construct a closed-loop dynamic operation s... View full abstract»

• ### A Multiobjective Optimization Based Fuzzy Control for Nonlinear Spatially Distributed Processes With Application to a Catalytic Rod

Publication Year: 2012, Page(s):860 - 868
Cited by:  Papers (12)
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This paper considers the problem of multiobjective fuzzy control design for a class of nonlinear spatially distributed processes (SDPs) described by parabolic partial differential equations (PDEs), which arise naturally in the modeling of diffusion-convection-reaction processes in finite spatial domains. Initially, the modal decomposition technique is applied to the SDP to formulate it as an infin... View full abstract»

• ### Enhancement of Speech Recognitions for Control Automation Using an Intelligent Particle Swarm Optimization

Publication Year: 2012, Page(s):869 - 879
Cited by:  Papers (19)
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For over two decades, speech control mechanisms have been widely applied in manufacturing systems such as factory automation, warehouse automation, and industrial robotic control for over two decades. To implement speech controls, a commercial speech recognizer is used as the interface between users and the automation system. However, users' commands are often contaminated by environmental noise w... View full abstract»

• ### Quantum-Inspired Particle Swarm Optimization for Power System Operations Considering Wind Power Uncertainty and Carbon Tax in Australia

Publication Year: 2012, Page(s):880 - 888
Cited by:  Papers (49)
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In this paper, a computational framework for integrating wind power uncertainty and carbon tax in economic dispatch (ED) model is developed. The probability of stochastic wind power based on nonlinear wind power curve and Weibull distribution is included in the model. In order to solve the revised dispatch strategy, quantum-inspired particle swarm optimization (QPSO) is also adopted, which shows s... View full abstract»

• ### Optimal Dispatch of Electric Vehicles and Wind Power Using Enhanced Particle Swarm Optimization

Publication Year: 2012, Page(s):889 - 899
Cited by:  Papers (77)
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In this paper, an economic dispatch model, which can take into account the uncertainties of plug-in electric vehicles (PEVs) and wind generators, is developed. A simulation based approach is first employed to study the probability distributions of the charge/discharge behaviors of PEVs. The probability distribution of wind power is also derived based on the assumption that the wind speed follows t... View full abstract»

• ### Optimizing RFID Network Planning by Using a Particle Swarm Optimization Algorithm With Redundant Reader Elimination

Publication Year: 2012, Page(s):900 - 912
Cited by:  Papers (44)
| | PDF (1987 KB) | HTML

The rapid development of radio frequency identification (RFID) technology creates the challenge of optimal deployment of an RFID network. The RFID network planning (RNP) problem involves many constraints and objectives and has been proven to be NP-hard. The use of evolutionary computation (EC) and swarm intelligence (SI) for solving RNP has gained significant attention in the literature, but the a... View full abstract»

• ### Energy-Efficient Thrust Allocation for Semi-Submersible Oil Rig Platforms Using Improved Harmony Search Algorithm

Publication Year: 2012, Page(s):913 - 924
Cited by:  Papers (2)
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In this paper, the thrust allocation problem for semi-submersible oil rig platform is formulated as an optimization problem, with an objective to minimize the power consumption. The electrical power consumed by the oil rig platform depends on the thrust generated by the thrusters and the efficiency of the electrical propulsion system. A detailed mathematical model to compute the efficiency of the ... View full abstract»

• ### Optimal Switch Placement by Alliance Algorithm for Improving Microgrids Reliability

Publication Year: 2012, Page(s):925 - 934
Cited by:  Papers (15)
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A method for optimal switches placement in distribution systems with distributed generation is presented in this paper. According to both technical and economical issues, the method allows minimizing the unsupplied loads in case of permanent faults, while limiting the number of installed switches. The problem is formulated as a mixed integer non linear programming problem (MINLP) and the solution ... View full abstract»

• ### A New Dimensionality Reduction Algorithm for Hyperspectral Image Using Evolutionary Strategy

Publication Year: 2012, Page(s):935 - 943
Cited by:  Papers (29)
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Reducing the redundancy of spectral information is an important technique in classification of hyperspectral image. The existing methods are classified into two categories: feature extraction and band selection. Compared with the feature extraction, the band selection method preserves most of the characteristics of the original data without losing valuable details. However, the choice of the effec... View full abstract»

• ### Real Time Operation of Smart Grids via FCN Networks and Optimal Power Flow

Publication Year: 2012, Page(s):944 - 952
Cited by:  Papers (93)
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This paper proposes an Energy Management System for the optimal operation of Smart Grids and Microgrids, using Fully Connected Neuron Networks combined with Optimal Power Flow. An adaptive training algorithm based on Genetic Algorithms, Fuzzy Clustering and Neuron-by-Neuron Algorithms is used for generating new clusters and new neural networks. The proposed approach, integrating Demand Side Manage... View full abstract»

• ### Effective Noise Estimation-Based Online Prediction for Byproduct Gas System in Steel Industry

Publication Year: 2012, Page(s):953 - 963
Cited by:  Papers (9)
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A rapid and accurate prediction of byproduct gas flow in steel industry can help not only to become aware of the operational situations of gas system, but it also provides the energy scheduling workers with sound decision-making mechanisms. In this study, a least square support vector machine (LS-SVM) model based on online hyperparameters optimization is proposed, where the variance of effective n... View full abstract»

## Aims & Scope

Knowledge in the IST (Information Society Technologies) field envisions a technology bifurcation in the field of intelligent automation systems and real-time middle-ware technologies in the next 5-10 years. The scope of the journal considers the industry’s transition towards more knowledge-based production and systems organization and considers production from a more holistic perspective, encompassing not only hardware and software, but also people and the way in which they learn and share knowledge. The journal focuses on the following main topics: Flexible, collaborative factory automation, Distributed industrial control and computing paradigms, Internet-based monitoring and control systems, Real-time control software for industrial processes, Java and Jini in industrial environments, Control of wireless sensors and actuators, Systems interoperability and human machine interface.

Full Aims & Scope

## Meet Our Editors

Editor-in-Chief
Ren C. Luo
Department of Electrical Engineering
National Taiwan University