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2011 International Conference on Information and Automation, ICIA 2011

作者： Zhang, Xilin Han, Xiaojuan Wan, Xiaohua Wang, Shuo Dispatching Center Changchun Power Supply Company Changchun 130012 China Department of Control and Computer Engineering North China Electrical Power University Beijing 102206 China Department of Engineering Changchun Huaxin Automation Engineering Co. Ltd. Changchun 130012 China Transformation Controlled Company Jilin Electric Power Transmission Engineering Corporation Changchun 130012 China

ISBN: (纸本)9781457702686

From the requirement of satisfying regional monitoring and scheduling management under the characteristics of the regional grid and the connotation of intelligent grid as well as regulation and control integration management, power quality on-line monitoring of EMS in regional intelligent grid and optimized operation setting checking conditions of arc-suppression coil are discussed in this paper. Load forecast data sources and functional requirements of SCADA picture for engineering design and realization method are provided in this paper. © 2011 IEEE.

关键词： Smart power grids

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An intelligent controller inspired by bi-cooperative modulation mechanism

An intelligent controller inspired by bi-cooperative modulat...

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2011 7th International Conference on Natural Computation, ICNC 2011

作者： Liu, Bao Ding, Yongsheng Wang, Junhong Information and Control Engineering College China University of Petroleum Dongying 257061 China Electrical and Computer Engineering Wayne State University MI 48202 United States College of Information Sciences and Technology Donghua University Shanghai 201620 China Engineering Research Center of Digitized Textile and Fashion Technology Ministry of Education Donghua University Shanghai 201620 China

ISBN: (纸本)9781424499533

Based on the bi-cooperative modulation mechanism in the human body, we present an enhanced and inhibited intelligent controller (EIIC), and provide its control algorithm in this paper. Corresponding to the related physiological system, we first design the structure of EIIC, which includes a super management unit (SMU), an enhanced control unit (ECU), an inhibited control unit (ICU), and an auxiliary control unit (ACU). When a set-point changes or a large error appears, the ECU will take effect. And then the ECU outputs a rapid step action with an inertial filter according to different control action directions, which can accelerate the rise time of the control system. After a set time, the ICU will be enabled and outputs a reverse step action with another filter related to the output of the ECU, which may avoid big overshoot or oscillation. The final comprehensive output result of the ECU and the ICU is the stable control output of the EIIC in future. When the control system gets a stable status or the control time exceeds a set limit, the ACU will take a work and eliminate the control error with the conventional PI schedule to improve control accuracy. All the cooperated work among the ECU, ICU, and ACU are carried out by the SMU. To examine the control performance of the EIIC, we use a non-minimal phase linear model with a time delay as control plants in our simulation experiments, which include basic control ability, control robustness, and noise control. The simulation results indicate that the EIIC has better control performance than the conventional PID control algorithm and internal model control. © 2011 IEEE.

关键词： Intelligent control

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Surface defect detection using 3D imaging for commercial automated surface inspection system performance improvement

Surface defect detection using 3D imaging for commercial aut...

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作者： Chen, Bin Zhang, Liwei Long, Hal A. Department of Electrical and Computer Engineering Purdue University Calumet Hammond IN 46323 United States Processing and Control Global Research and Development Center ArcelorMittal East Chicago East Chicago IN 46312 United States

While most commercial automated surface inspection system (ASIS) has built-in functions for defect detection and classification, achieving high classification performance on pickled and noisy strip surfaces has remained challenging because of the diversity in defect types and the similarity in patterns and features in 2D images captured by cameras. A novel technique using laser triangulation meters was implemented with 3D surface profiling for better defect detection on pickled and noisy strip surfaces in the lab environment. The experimental results have shown significant performance improvement in surface defect detection especially in identifying the severe defects from less severe or uninterested defects.

关键词： Surface defects

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Structured Wavelet-based Neural Network for control of Nonlinear Systems

Structured Wavelet-based Neural Network for Control of Nonli...

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IEEE Conference on Decision and control

作者： A. Karami M.J. Yazdanpanah Control & Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran

ISBN: (纸本)9781612848006

In this paper, a wavelet-based neural network is proposed for the control of nonlinear systems. Activation functions of neural network nodes are determined based on the wavelet transform. The controller can efficiently compensate for the undesired effects of hard nonlinearities such as saturation and/or dead zone of control input. Compared with standard neuro-controllers, the structure of the controller is definite and simple. The proposed controller is localizable and has a systematically chosen structure, which improves the close-loop performance. An off-line algorithm determines the number of nodes. In addition, an on-line algorithm adjusts the parameters of wavelet bases and network weights. Back propagation algorithm with a momentum term is used for updating the weights and parameters of activation functions. This controller reduces the quantity of network parameters, calculation cost and convergence time of online algorithms with respect to the conventional neural network. Also, the controller is able to control unstable and MIMO systems. To illustrate the capability and performance superiority of the proposed controller, two nonlinear systems are controlled and the corresponding results are compared.

关键词： Wavelet transform neural network nonlinear system control adaptive activation functions

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Structural indexing of satellite images using automatic classification

Structural indexing of satellite images using automatic clas...

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2011 IEEE Aerospace Conference, AERO 2011

作者： Gebril, Mohamed Buaba, Ruben Homaifar, Abdollah Kihn, Eric Autonomous Control and Information Technology Center Department of Electrical and Computer Engineering North Carolina Agricultural and Technical State University Greensboro NC 27411 United States NOAA/NGDC 325 Broadway Boulder CO 80305 United States

ISBN: (纸本)9781424473502

Shape descriptors have been used frequently as features to characterize an image for classification and image retrieval tasks. The problem of recognizing classes of objects in images is important for annotation and indexing of Satellite image databases. In this paper, a comparison between shape and texture features for classification is presented. The classification is based on Support Vector Machine (SVM) learning. SVM classifier can be learned from training data of relevance images and irrelevance images marked by users. Using the classifier, the system can retrieve more images relevant to the query in the database efficiently. The goal is to build an accurate and fast query-by-example using content based image retrieval based on the information extracted from satellite image data. We have investigated and described various feature extraction methods relevant to our work in this paper. The experimental results demonstrate that using the shape features give a better classification accuracy than that of the texture features. © 2011 IEEE.

关键词： Image classification

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Satellite image retrieval application using Locality Sensitive Hashing in L2-space

Satellite image retrieval application using Locality Sensiti...

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2011 IEEE Aerospace Conference, AERO 2011

作者： Buaba, Ruben Homaifar, Abdollah Gebril, Mohamed Kihn, Eric Autonomous Control and Information Technology Center Department of Electrical and Computer Engineering North Carolina Agricultural and Technical State University Greensboro NC 27411 United States NOAA/NGDC 325 Broadway Boulder CO 80305 United States

ISBN: (纸本)9781424473502

This paper demonstrates the use of the Locality Sensitive Hashing technique operating in Euclidean metric space to build a data structure for Defense Meteorological Satellite Program (DMSP) satellite imagery database. Due to the high dimensionality of these images, their texture feature vectors are used. These features are extracted using pyramidal wavelet decomposition coupled with Gaussian central moments. Families of hash functions are drawn randomly and independently from a Gaussian distribution to create hash tables for these texture feature vectors of the images. The hash tables and the families of hash functions are then used to find similar satellite image matches to any query image in sublinear search time. When tested, our algorithm has proven to be about thirty three times faster than the linear search algorithm. In addition, our algorithm searches less than two percent of the entire database on the average to find the possible similar image matches to any given query without loss of accuracy. © 2011 IEEE.

关键词： Hash functions

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Analytic Approximate Solution to The Nonlinear Output Regulation Problem Using Galerkin Approximation Method

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IFAC Proceedings Volumes 2011年第1期44卷 1392-1397页

作者： S. Khailaie A. Adhami-Mirhosseini M.J. Yazdanpanah Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran P.O. Box 14395/515 Tehran Iran

Abstract The present paper proposes an approximation method to solve the problem of approximate nonlinear output regulation. In this approach, the solution of the regulator equations, consists of partial differential equations and an algebraic equation, is analytically approximated by Galerkin approximation method. The proposed method is general and can be applied on a wide class of nonlinear systems that the output regulation problem is solvable for them. The effectiveness of the proposed method is investigated on the nonlinear output regulation problem for a benchmark mechanical system, the so-called TORA system.

关键词： Nonlinear output regulation Galerkin method

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Temperature-Aided Fingerprinting for localization in wireless local area networks

Temperature-Aided Fingerprinting for localization in wireles...

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International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)

作者： Kave Aryanpoo Hadi Moradi Robotics and AI Laboratory School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran Robotics and AI Laboratory Control & Intelligent Processing Center of Excellence School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran

Wireless signal fingerprints have been used to localize mobile devices in recent years. Especially, WLAN signals are of great importance, because of the ubiquity of WLAN infrastructure. In this paper, the possibility of correlation between temperature and signal strength is investigated to improve the traditional fingerprinting method by incorporating the temperature into the process. The new approach is called the Temperature-Aided Fingerprinting (TAF) and even with current WLAN-enabled devices, which usually do not have a thermometer, TAF achieves a better performance than the traditional method. At the end, we open up a hypothesis that the observed difference is not caused by the temperature, rather by the crowdedness and the dynamics of the environment. This is left to be investigated in the future.

关键词： Fingerprint recognition Temperature distribution Educational institutions Buildings Temperature sensors Temperature measurement

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Study of EMS statements production and dispatcher simulation training for regional smart grid

Study of EMS statements production and dispatcher simulation...

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2011 International Conference on Information and Automation, ICIA 2011

作者： Zhang, Xilin Zhang, Fan Han, Xiaojuan Wang, Shuo Dispatching Center Changchun Power Supply Company Changchun 130012 China Developing and Planning Department Zhejiang Electric Company Hangzhou China Department of Control and Computer Engineering North China Electrical Power University Beijing 102206 China Transformation Controlled Company Jilin Electric Power Transmission Engineering Corporation Changchun 130012 China

ISBN: (纸本)9781457702686

From the characteristics in regional grid, the connotation of smart grid and the change of regulation and control integrated management after meeting the requirement of operating monitoring and scheduling management in regional smart grid, statements production of EMS and simulation training of dispatcher in the region smart grid were discussed in this paper. © 2011 IEEE.

关键词： Smart power grids

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Algorithms for the Traveling Salesman Problem with Neighborhoods Involving a Dubins Vehicle

Algorithms for the Traveling Salesman Problem with Neighborh...

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2011 American control Conference (ACC)

作者： Jason T. Isaacs Daniel J. Klein Joao P. Hespanha Center for Control Dynamical Systems and Computation and the Department of Electrical and Computer Engineering University of California Santa Barbara CA USA

We study the problem of finding the minimum-length curvature constrained closed path through a set of regions in the plane. This problem is referred to as the Dubins Traveling Salesperson Problem with Neighborhoods (DTSPN). Two algorithms are presented that transform this infinite dimensional combinatorial optimization problem into a finite dimensional asymmetric TSP by sampling and applying the appropriate transformations, thus allowing the use of existing approximation algorithms. We show for the case of disjoint regions, the first algorithm needs only to sample each region once to produce a tour within a factor of the length of the optimal tour that is independent of the number of regions. We present a second algorithm that performs no worse than the best existing algorithm and can perform significantly better when the regions overlap.

关键词： Approximation algorithms Approximation methods Traveling salesman problems Path planning Aircraft Vehicle dynamics Euclidean distance

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