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Reduced-order model-based feedback controller design for subsonic cavity flows

Reduced-order model-based feedback controller design for sub...

引用

43rd AIAA Aerospace sciences Meeting and Exhibit

作者： Yuan, X. Caraballo, E. Yan, P. Özbay, H. Serrani, A. DeBonis, J. Myatt, J.H. Samimy, M. Collaborative Center of Control Science Ohio State University United States Department of Electrical and Computer Engineering Department of Mechanical Engineering United States Bilkent Univ. Dept. of Electrical and Electronics Eng. Ankara Turkey NASA Glenn's Quiet Aircraft Technology Program United States Air Force Research Laboratory Air Vehicles Directorate WPAFB United States

This paper explores feedback controller design for cavity flows based on reduced-order models derived using Proper Orthogonal Decomposition (POD) along with Galerkin projection method. Our preliminary analysis shows that the equilibrium of the POD model is unstable and a static output feedback controller cannot stabilize it. We develop Linear Quadratic (LQ) optimal state feedback controllers and LQ optimal observers for the linearized models. The linear controllers and observers are applied to the nonlinear system using simulations. The controller robustness is numerically tested with respect to different POD models generated at different forcing frequencies. An estimation for the region of attraction of the linear controllers is also provided.

关键词： Subsonic flow

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Image recognition systems with permutative coding

Image recognition systems with permutative coding

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International Joint Conference on Neural Networks (IJCNN)

作者： E. Kussul T. Baidyk D.C. Wunsch Center of Applied Science and Technological Development (CCADET) National Autonomous University of Mexico (UNAM) Mexicali Mexico Department of Electrical & Computer Engineering University of Missouri Rolla Rolla MO USA

A feature extractor and neural classifier for image recognition system are proposed. They are based on the permutative coding technique which continues our investigations on neural networks. It permits us to obtain sufficiently general description of the image to be recognized. Different types of images were used to test the proposed image recognition system. It was tested on the handwritten digit recognition problem, the face recognition problem and the shape of microobjects recognition problem. The results of testing are very promising. The error rate for the MNIST database is 0.44% and for the ORL database is 0.1%.

关键词： Image recognition Image coding Face recognition Handwriting recognition Image databases Feature extraction Neural networks System testing Shape Error analysis

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Distributed sensor networks based on mobile agents paradigm

Distributed sensor networks based on mobile agents paradigm

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Southeastern Symposium on System Theory

作者： M. Ketel N.S. Dogan A. Homaifar Department of Computer Science North Carolina Agriculture and Technical State University Greensboro NC USA Department of Electrical & Computer Engineering North Carolina Agriculture and Technical State University Greensboro NC USA NASA Autonomous Control and Information Technology Center North Carolina Agriculture and Technical State University Greensboro NC USA

Distributed sensor networks (DSNs) are being developed for a wide range of applications. A sensor networks consist of a large number of nodes performing distributed sensing/event detection. Sensor nodes are energy-constrained, efficient routing is essential for increasing the lifetime of a sensor network. A DSN requires interoperability, low latency, and low power consumption in order to operate for long periods of time. Due to power constraints, DSN should be able to operate at low data rates and still delivering acceptable quality of service. In a DSN the energy required for communications tasks is usually much greater than the energy required for computational tasks. To reduce the data communication between nodes and to maximize the network lifetime, we propose to use the mobile-agent paradigm. In mobile-agent based DSN9 instead of moving data from an individual sensor node to a processing center as in the client-server based computing, mobile agents are dispatched from the processing center to the sensor nodes and process data locally. By moving code to the data, a mobile agent can reduce latency, bandwidth and vulnerability to network disconnection.

关键词： Mobile agents computer networks Routing Data communication Bandwidth Wireless communication Application software Delay Wireless sensor networks Capacitive sensors

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On consistency of stochastic gradient algorithms for ARMAX models with disturbances

On consistency of stochastic gradient algorithms for ARMAX m...

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American control Conference (ACC)

作者： Feng Ding Tongwen Chen Research Associate University of Alberta Edmonton Canada Control Science and Engineering Research Center Southern Yangtze University Wuxi China Department of Electrical and Computer Engineering University of Alberta Edmonton AB Canada

ISBN: (纸本)0780390989

In this paper, we give a new method to prove in detail the consistency of the residual based and innovation based stochastic gradient algorithms for identifying CARMA/ARMAX models with disturbances under weaker conditions on statistical properties of the noise, e.g., the mean value is non-zero, and the variance is time-varying, and/or high-order moments are possibly nonexistent. The analysis indicates that the parameter estimation error is consistently bounded, and consistently converges to zero under persistent excitation conditions.

关键词： Stochastic processes Stochastic resonance Parameter estimation Convergence Adaptive control Differential equations Technological innovation Least squares approximation Algorithm design and analysis Least squares methods

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Feature selection and combination criteria for improving predictive accuracy in protein structure classification

Feature selection and combination criteria for improving pre...

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IEEE Symposium on Bioinformatics and Bioengineering (BIBE)

作者： Chun Yuan Lin Ken-Li Lin Chuen-Der Huang Hsiu-Ming Chang Chiao Yun Yang Chin-Teng Lin Chuan Yi Tang D.F. Hsu Institute of Molecular and Cellular Biology Singapore Department of Electrical and Control Engineering National Chiao Tung University Hsinchu Taiwan Computer Center Chung-Hua University Hsinchu Taiwan Department of Electrical Engineering Hsiuping Institute of Technology Tachung Taiwan Brain Research Centre Canada Department of Computer Science National Tsing Hua University Hsinchu Taiwan Department of Computer and Information Science Fordham University New York NY USA

The classification of protein structures is essential for their function determination in bioinformatics. The success of the protein structure classification depends on two factors: the computational methods used and the features selected. In this paper, we use a combinatorial fusion analysis technique to facilitate feature selection and combination for improving predictive accuracy in protein structure classification. When applying these criteria to our previous work, the resulting classification has an overall prediction accuracy rate of 87% for four classes and 69.6% for 27 folding categories. These rates are significantly higher than our previous work and demonstrate that combinatorial fusion is a valuable method for protein structure classification.

关键词： Accuracy Support vector machines Support vector machine classification Protein engineering Neural networks computer architecture Testing Bioinformatics Amino acids Sequences

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An efficient tool for planning and operation of reconfigurable converter-based transmission controllers

An efficient tool for planning and operation of reconfigurab...

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2005 IEEE Power engineering Society General Meeting

作者： Jiang, Xia Chow, Joe H. Edris, Abdel-Aty Uzunovic, Edvina Fardanesh, Bruce Parisi, Michael Wei, Xuan Electrical Computer and Systems Engineering Department Rensselaer Polytechnic Institute Troy NY 12180-3590 Electric Power Research Institute Palo Alto CA 94303-0813 New York Power Authority White Plains NY New York Power Authority Utica NY Guidant Corporation Saint Paul MN Electrical Computer and Systems Engineering Department Rensselaer Polytechnic Institute Science and Technology Division EPRI CA IEEE CIGRE Working Groups New York Power Authority Energy Control Center Cardiac Rhythm Management Division Guidant Corporation Saint Paul MN

ISBN: (纸本)078039156X

Because of their flexible performance, converter-based transmission controllers such as Unified Power Flow controller (UPFC) can be very effective in improving power transfer capability over congested transmission paths. In most published literature, a shunt converter is set to control the bus voltage and a series converter is to control the line power flow. In practical operations, however, there are other control modes that are more appropriate. In the case of the Convertible Static Compensator (CSC) installed at the New York Power Authority's Marcy substation, CSC can operate in 11 configurations of different shunt and series connections. A simulation program capable of dispatching in 49 different control modes associated with these 11 configurations is being developed. The paper discusses how these control modes can be efficiently implemented and used. © 2005 IEEE.

关键词： Power converters

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Design and Implement the Stimuli Capsule at In-vitro Experiment

Design and Implement the Stimuli Capsule at In-vitro Experim...

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IEEE Region 10 International Conference TENCON

作者： S. H. Woo K. W. Yoon J. H. Lee Y. K. Moon C. H. Won T. W. Kim H. C. Choi J. H. Cho School of Electronic Engineering and Computer Science Kyungpook National University South Korea Department of Computer Control & Electrical Engineering Kyungil University South Korea College of Veterinary Medicine Department of physiology Kyungpook National University South Korea Advanced Research Center for Recovery of Human Sensibility Kyungpook National University South Korea

Recently, the capsule endoscope has been developed to observe image from the inside intestine. Such a capsule endoscope does not have locomotion or hold by it self. To get proper diagnosis and meditation, it is necessary to control capsule from outside to enable to guide locomotion. The designed and implemented capsule has feasibility to contracts the small intestine by electrical stimulus from stimulus pad. When the small intestine is contracted by electrical stimulus, the capsule can move to opposite direction which can boost moving speed of the capsule or change moving direction. The implemented stimuli capsule always monitors excessive energy transmit and automatically shut down electrical stimuli to make more secure. Also the stimuli capsule goes to stand by mode to save battery, and reset by comparator circuit which is connected to two stimulus pad. To verify the design and implement stimuli capsule, in-vitro experiments are performed with pig's small intestine.

关键词： In vitro Intestines Endoscopes Energy consumption Batteries Circuits Valves Moon Design engineering computer science

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Hybrid discrete event simulation with model predictive control for semiconductor supply-chain manufacturing

Hybrid discrete event simulation with model predictive contr...

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Simulation Winter Conference

作者： H.S. Sarjoughian Dongping Huang G.W. Godding Wenlin Wang D.E. Rivera K.G. Kempf H.D. Mittelmann Arizona Center for Integrative Modeling & Simulation Computer Science & Engineering Department Arizona State University Tempe AZ USA Control Systems Engineering Laboratory Chemical & Materials Engineering Department Arizona State University Tempe AZ USA Decision Technologies Intel Corporation Chandler AZ USA Mathematics & Statistic Dept. Arizona State University Tempe AZ USA

Simulation modeling combined with decision control can offer important benefits for analysis, design, and operation of semiconductor supply-chain network systems. Detailed simulation of physical processes provides information for its controller to account for (expected) stochasticity present in the manufacturing processes. In turn, the controller can provide (near) optimal decisions for the operation of the processes and thus handle uncertainty in customer demands. In this paper, we describe an environment that synthesizes discrete-event system specification (DEVS) with model predictive control (MPC) paradigms using a knowledge interchange broker (KIB). This environment uses the KIB to compose discrete event simulation and model predictive control models. This approach to composability affords flexibility for studying semiconductor supply-chain manufacturing at varying levels of detail. We describe a hybrid DEVS/MPC environments via a knowledge interchange broker. We conclude with a comparison of this work with another that employs the Simulink/MATLAB environment.

关键词： Discrete event simulation Predictive models Predictive control Virtual manufacturing Semiconductor device manufacture Mathematical model Analytical models Manufacturing processes Optimal control Uncertainty

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A hierarchical tissue segmentation approach in brain MRI images

A hierarchical tissue segmentation approach in brain MRI ima...

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Image Processing, Biomedicine, Multimedia, Financial engineering and Manufacturing - International Forum on Multimedia Image Processing, IFMIP - Sixth Biannual World Automation Congress, WAC 2004

作者： Song, Tao Huang, Mingxiong Lee, Roland R. Gasparovic, Charles Jamshidi, Mo University of New Mexico Albuquerque NM United States Electrical and Computer Engineering Department University of New Mexico Autonomous Control Engineering Center University of New Mexico Radiology Department University of New Mexico New Mexico VA Health Care System MIND Imaging Center University of New Mexico Health Science Center

ISBN: (纸本)188933524X

Magnetic resonance imaging (MRI) is a widely used approach to obtaining high quality medical images of the brain. Post-processing MRI images with segmentation algorithms enhances the visualization and measurement of soft tissues and lesions. Segmented brain images contain information amenable to quantitative analysis (e.g., tissue component percentage in a region of interest (ROI)) and diagnostic interpretation (e.g., total lesion volume). A number of different segmentation algorithms have been developed for this purpose. In this paper, we propose a novel automated segmentation technique, hierarchical structure weighted probabilistic neural network (HSWPNN), based on multi-scale feature extraction, hierarchical labeling structure, and a modified weighted probabilistic neural network (PNN). Compared to other clustering algorithms, our method is relatively robust to noise and accurate. We compare our results to a model of ground truth.

关键词： Magnetic resonance imaging

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Multispectral landsat image classification using fuzzy expert systems

Multispectral landsat image classification using fuzzy exper...

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Proceedings of the Biannual World Automation Congress

作者： Van Wang Mo Jamshidi Electrical and Computer Engineering Department and Autonomous Control Engineering Center University of New Mexico Albuquerque NM USA

A hierarchical fuzzy expert system is proposed for multispectral Landsat image classification to overcome difficulties with conventional maximum-likelihood classifier (MLC) based on normal distribution and easily incorporate other collateral data, such as vegetation index, digital elevation model, etc. The hierarchical structure is to reduce fuzzy rules to incorporate as many useful data sources as possible. Adaptive-Neural-Network Based Fuzzy Inference System (ANFIS) is used to build up fuzzy rule based systems to adapt training data. The expert system is tested for the classification on Landsat 7 ETM+ image and results are effective for multispectral image classification.

关键词： Satellites Remote sensing Image classification Hybrid intelligent systems Training data Fuzzy systems Humans Image analysis control engineering Fuzzy logic

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