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An Interval Type-II Robust Fuzzy Logic Controller for a Static Compensator in a Multimachine Power System

An Interval Type-II Robust Fuzzy Logic Controller for a Stat...

引用

International Joint Conference on Neural Networks (IJCNN)

作者： S. Mohagheghi G.K. Venayagamoorthy R.G. Harley Intelligent Power Infrastructure Consortium (IPIC) in the School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri MO USA University of KwaZulu-Natal South Africa

This paper presents a novel fuzzy logic based controller for a Static Compensator (STATCOM) connected to a power system. Type-II fuzzy systems are selected that enable the controller to deal with design uncertainties and the noise associated with the measurements in the power system. Interval type-II fuzzy is computationally more effective than the ordinary type-II fuzzy systems and is more suitable for the power network with fast changing dynamics. Using a proportional-integrator approach the proposed controller is capable of dealing with actual rather than deviation signals. The STATCOM is connected to a multimachine power system in order to provide extra voltage support and improve the system dynamic performance. Simulation results are provided to show that the proposed controller outperforms a conventional PI controller during large scale faults as well as small disturbances. The type-II fuzzy membership functions provide a robust performance for the controller and eliminate the need for a model based adaptive control scheme.

关键词： Robust control Fuzzy logic Control systems STATCOM Power systems Power system dynamics Power system measurements Fuzzy systems Automatic voltage control Power system simulation

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Recurrent Neural Network Based Predictions of Elephant Migration in a South African Game Reserve

Recurrent Neural Network Based Predictions of Elephant Migra...

引用

International Joint Conference on Neural Networks (IJCNN)

作者： P. Palangpour G.K. Venayagamoorthy K. Duffy Real-Time Power and Intelligent Systems (RTPIS) Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla MO USA Centre for Systems Research Durban Institute of Technology Durban South Africa

A large portion of South Africa's elephant population can be found on small wildlife reserves. When confined to enclosed reserves the elephant densities are much higher than observed in the wild. The large nutritional demands and destructive foraging behavior of elephants threaten rare species of vegetation. If conservation management is to protect threatened species of vegetation, knowing how long elephants will stay in one area of the reserve as well as which area they will move to next is essential. The goal of this study is to train a recurrent neural network (RNN) to continuously predict an elephant herd's next position in the Pongola Game Reserve. Accurate predictions would provide a useful tool in assessing future impact of elephant populations on different areas of the reserve. The particle swarm optimization (PSO) algorithm is used to adapt the weights of the neural network. Results are presented to show the effectiveness of RNN-PSO for elephant migration prediction.

关键词： Recurrent neural networks Intelligent networks Vegetation Neural networks Africa Wildlife Particle swarm optimization Power system management Predictive models Protection

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A fault-tolerant P-Q decoupled control scheme for static synchronous series compensator

A fault-tolerant P-Q decoupled control scheme for static syn...

引用

IEEE General Meeting Power& Energy Society

作者： Wei Qiao R.G. Harley G.K. Venayagamoorthy Intelligent Power Infrastructure Consortium (IPIC) in the School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA University of KwaZulu-Natal Durban South Africa Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla MO USA

Control of nonlinear devices in power systems relies on the availability and the quality of sensor measurements. Measurements can be corrupted or interrupted due to sensor failure, broken or bad connections, bad communication, or malfunction of some hardware or software (referred to as missing sensor measurements in this paper). This paper proposes a fault-tolerant control scheme (FTCS) for a static synchronous series compensator (SSSC). This FTCS consists of a sensor evaluation and (missing sensor) restoration scheme (SERS) cascaded with a P-Q decoupled control scheme (PQDC). It is able to provide effective control to the SSSC when single or multiple crucial sensor measurements are unavailable. Simulation studies are carried out to examine the validity of the proposed FTCS. During the simulations, single and multiple phase current sensors are assumed to be missing, respectively. Results show that the SERS restores the missing data correctly during steady and transient states, including small and large disturbances, and unbalanced three-phase operation. Thus, the FTCS continuously provides effective control to the SSSC with and without missing sensor measurements

关键词： Fault tolerance Communication system control Software measurement Nonlinear control systems Control systems Power system faults Power system measurements Power system control Power systems Sensor systems

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A New Flexible MPI Collective I/O Implementation

A New Flexible MPI Collective I/O Implementation

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IEEE International Conference on Cluster computing

作者： Kenin Coloma Avery Ching Alok Choudhary Wei-keng Liao Rob Ross Rajeev Thakur Lee Ward Electrical and Computer Engineering Department Northwestern University USA Mathematics and Computer Science Division Argonne National Laboratory USA Scalable Computing Systems Sandia National Laboratories USA

The MPI-IO standard creates a huge opportunity to break out of the traditional file system I/O methods. As a software layer between the user and the file system, an MPI-IO library can potentially optimize I/O on behalf of the user with little to no user intervention. This is all possible because of the rich data description and communication infrastructure MPI-2 offers. Powerful data descriptions and some of the other desirable features of MPI-2, however, make MPI-IO challenging to implement. By creating a new collective I/O implementation that allows developers to easily tinker and play with new optimizations or combinations of different techniques, research can proceed faster and be quickly and reliably deployed

关键词： Laboratories File systems Power system reliability Read-write memory Mathematics computer science Software libraries Computational modeling Power system modeling Concurrent computing

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Dynamic multi phase scheduling for heterogeneous clusters

Dynamic multi phase scheduling for heterogeneous clusters

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International Symposium on Parallel and Distributed Processing (IPDPS)

作者： F.M. Ciorba T. Andronikos I. Riakiotakis A.T. Chronopoulos G. Papakonstantinou Computing Systems Laboratory Department of Electrical and Computer Engineering National and Technical University of Athens Athens Greece Department of Computer Science University of Texas San Antonio San Antonio TX USA

Distributed computing systems are a viable and less expensive alternative to parallel computers. However, concurrent programming methods in distributed systems have not been studied as extensively as for parallel computers. Some of the main research issues are how to deal with scheduling and load balancing of such a system, which may consist of heterogeneous computers. In the past, a variety of dynamic scheduling schemes suitable for parallel loops (with independent iterations) on heterogeneous computer clusters have been obtained and studied. However, no study of dynamic schemes for loops with iteration dependencies has been reported so far. In this work we study the problem of scheduling loops with iteration dependencies for heterogeneous (dedicated and non-dedicated) clusters. The presence of iteration dependencies incurs an extra degree of difficulty and makes the development of such schemes quite a challenge. We extend three well known dynamic schemes (CSS, TSS and DTSS) by introducing synchronization points at certain intervals so that processors compute in pipelined fashion. Our scheme is called dynamic multi-phase scheduling (DMPS) and we apply it to loops with iteration dependencies. We implemented our new scheme on a network of heterogeneous computers and studied its performance. Through extensive testing on two real-life applications (the heat equation and the Floyd-Steinberg algorithm), we show that the proposed method is efficient for parallelizing nested loops with dependencies on heterogeneous systems.

关键词： Dynamic scheduling Processor scheduling Distributed computing Concurrent computing Parallel programming Load management Cascading style sheets computer networks System testing Application software

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Large-scale electronic structure calculations of high-Z metals on the BlueGene/L platform

Large-scale electronic structure calculations of high-Z meta...

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2006 ACM/IEEE Conference on Supercomputing, SC'06

作者： Gygi, Francois Draeger, Erik W. Schulz, Martin De Supinski, Bronis R. Gunnels, John A. Austel, Vernon Sexton, James C. Franchetti, Franz Kral, Stefan Ueberhuber, Christoph W. Lorenz, Juergen Department of Applied Science University of California Davis Davis CA 95616 Center for Applied Scientific Computing Lawrence Livermore National Laboratory Livermore CA 94551 IBM Thomas J. Watson Research Center Yorktown Heights NY 10598 Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA 15213 Institute of Analysis and Scientific Computing Vienna University of Technology Vienna Austria

ISBN: (纸本)0769527000

First-principles simulations of high-Z metallic systems using the Qbox code on the BlueGene/L supercomputer demonstrate unprecedented performance and scaling for a quantum simulation code. Specifically designed to take advantage of massively-parallel systems like BlueGene/L, Qbox demonstrates excellent parallel efficiency and peak performance. A sustained peak performance of 207.3 TFlop/s was measured on 65,536 nodes, corresponding to 56.5% of the theoretical full machine peak using all 128k CPUs. © 2006 IEEE.

关键词： Electronic structure

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Hierarchical multithreading: programming model and system software 06

Hierarchical multithreading: programming model and system so...

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International Symposium on Parallel and Distributed Processing (IPDPS)

作者： G.R. Gao T. Sterling R. Stevens M. Hereld Weirong Zhu Department of Electrical and Computer Engineering University of Delaware USA Center for Advanced Computing Research California Institute of Technology USA Department of Computer Science Louisiana State University USA Mathematics and Computer Science Division Argonne National Laboratory USA

ISBN: (纸本)9781424400546

This paper addresses the underlying sources of performance degradation (e.g. latency, overhead, and starvation) and the difficulties of programmer productivity (e.g. explicit locality management and scheduling, performance tuning, fragmented memory, and synchronous global barriers) to dramatically enhance the broad effectiveness of parallel processing for high end computing. We are developing a hierarchical threaded virtual machine (HTVM) that defines a dynamic, multithreaded execution model and programming model, providing an architecture abstraction for HEC system software and tools development. We are working on a prototype language, LITL-X (pronounced "little-X") for latency intrinsic-tolerant language, which provides the application programmers with a powerful set of semantic constructs to organize parallel computations in a way that hides/manages latency and limits the effects of overhead. This is quite different from locality management, although the intent of both strategies is to minimize the effect of latency on the efficiency of computation. We work on a dynamic compilation and runtime model to achieve efficient LITL-X program execution. Several adaptive optimizations were studied. A methodology of incorporating domain-specific knowledge in program optimization was studied. Finally, we plan to implement our method in an experimental testbed for a HEC architecture and perform a qualitative and quantitative evaluation on selected applications

关键词： Multithreading System software Delay Programming profession Concurrent computing Dynamic programming Power system modeling computer architecture Degradation Productivity

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On-line fault detection and location for NoC interconnects

On-line fault detection and location for NoC interconnects

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IEEE Symposium on On-Line Testing (IOLTS)

作者： C. Grecu A. Ivanov R. Saleh E.S. Sogomonyan Partha Pratim Pande SoC Research Laboratory Department of Electrical and Computer Engineering University of British Columbia Vancouver BC Canada Fault Tolerant Computing Group University of Potsdam Potsdam Germany School of Electrical Engineering & Computer Science Washington State University Pullman WA USA

A novel method for on-line fault detection and location in network-on-chip (NoC) communication fabrics is introduced. This approach is able to distinguish between faults in the communication links and faults in the NoC switches. The idea is based on the use of code-disjoint routing elements, combined with parity check encoding for the inter-switch links. We analyze the effect of our method on relevant performance parameters - power, latency, and throughput. Experiments show that our approach is effective and requires minimal modifications of the existing design methods for NoC interconnects

关键词： Fault detection Network-on-a-chip Fabrics Switches Communication switching Routing Parity check codes Encoding Performance analysis Delay

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Modified Smith Predictor and Controller for time-Delay Process with Uncertainty

Modified Smith Predictor and Controller for Time-Delay Proce...

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World Congress on Intelligent Control and Automation (WCICA)

作者： Shihua Wang Bugong Xu Qingyang Wang Yun-Hui Liu Laboratory of Real-Time Control through Internet and Fieldbuses College of Automation Science and Engineering South China University of Technology Guangzhou China Department of Automation and Computer Aided Engineering Chinese University of Hong Kong New Territories Hong Kong China

Smith predictor is very sensitive to uncertain system with variable time-delay. Using dual-locus diagram method, we first analyse the essence of Smith predictor's sensitivity and present a proposition to illustrate the system stability criteria with relation to system gain and time-delay variation. Then a new modified Smith predictor is proposed to compensate the variable time-delay system with uncertain model for set-point tracking. After that, we discuss the system internal stability and give two-degree freedom controller self-adaptive to eliminate the impact of system uncertainty with varying time-delay. Examples show the improved performance compared to previous modified Smith predictor structures

关键词： Process control Uncertainty Automatic control Control systems Uncertain systems Feedback loop Tuning Automation Delay systems Robustness

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A Supervised Constructive Neuro-Immune Network for Pattern Classification

A Supervised Constructive Neuro-Immune Network for Pattern C...

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International Joint Conference on Neural Networks (IJCNN)

作者： H. Knidel L. Nunes de Castro F.J. Von Zuben Laboratory of Bioinformatics and Bioinspired Computing-LBiC Department of Computer Engineering and Industrial Automation-DCA School of Electrical and Computer Engineering-FEEC State University of Campinas-UNICAMP Sao Paulo Brazil Graduate Program in Computer Science Catholic University of Santos Sao Paulo Brazil

This paper proposes a supervised version of a learning algorithm for a constructive neuro-immune network. The proposed methodology is developed by taking ideas from the immune system and learning vector quantization. The resulting classification algorithm is characterized by high-performance, similar to the ones produced by alternative methods in the literature, and parsimonious solutions, with a much smaller set of prototypes per class when compared with the other approaches. The number of prototypes is automatically defined by the convergence criterion. The algorithm requires a single user-defined parameter for training, associated with the convergence criterion, and the computational cost is sufficiently reduced to support applications involving large data sets.

关键词： Pattern classification Immune system Neurons Supervised learning Vector quantization Classification algorithms Prototypes Clustering algorithms Unsupervised learning Artificial neural networks

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