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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Csaba Benedek Marco Martorella Computer and Automation Research Institute Distributed Events Analysis Research Group Budapest Hungary Department of Information Engineering University of Pisa Pisa Italy

In this paper we propose a Multi-frame Marked Point Process model for automatic target detection and tracking in Inverse Synthetic Aperture Radar (ISAR) image sequences. For purposes of dealing with high ISAR noise, we obtain the optimal target sequence by an energy minimization process, which simultaneously considers the observed image data and prior geometric interaction constraints between the target appearances in the consecutive frames. Finally, a robust permanent scatterer detection step is introduced to support the target identification process. Evaluation is performed on real ISAR image sequences of ship targets.

关键词： Marine vehicles Image sequences Image segmentation Imaging Three dimensional displays Target tracking Feature extraction

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Performance metrics for fault detection and isolation filters

Performance metrics for fault detection and isolation filter...

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作者： Pandita, Rohit Bokor, József Balas, Gary Department of Aerospace Engineering and Mechanics University of Minnesota Minneapolis MN 55455 United States Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences Kende u. 13-17 K-211 H-1111 Budapest Hungary

ISBN: (纸本)9781457700804

Fault detection and isolation (FDI) filters are typically synthesized for open-loop or closed-loop systems. The controller affects the FDI filter performance in the closed-loop. Performance metrics for FDI filters are proposed to assess filter performance and controller-filter interaction in the presence of uncertain dynamics in the closed-loop. The role of controller's robustness to plant uncertainty in FDI filter performance is examined. © 2011 AACC American Automatic control Council.

关键词： controllers

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Novel emotion dynamic express for robot

Novel emotion dynamic express for robot

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International Symposium on Applied Machine Intelligence and Informatics (SAMI)

作者： Dong-Hwa Kim Péter Baranyi Department of Instrumentation and Control Engineering Hanbat National University Daejeon South Korea Head of Cognitive Informatics research group involved in the System and Control Laboratory Computer and Automation Research Institute (MTA-SZTAKI) Hungarian Academy of Sciences Hungary

This paper proposes the novel emotion dynamic equation for emotion implementation like human's emotion. Almost general method use artificial approach such as neutral networks to classify emotion by using speech and face image data for human's emotion recognition. But high-dimension and large size of this data cause low-speed learning in robot system. The main idea of the proposed dynamic equation method is to dynamically express emotion by multi-agent function.

关键词： Robot sensing systems Humans Dynamics Face Equations

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SPC and Kalman filter-based fault detection and diagnosis for an air-cooled chiller

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Frontiers of Electrical and Electronic engineering in China 2011年第3期6卷 412-423页

作者： Biao SUN Peter B.LUH Zheng O’NEILL Center for Intelligent and Networked Systems Department of AutomationTsinghua UniversityBeijing 100084China The Tsinghua-UTC Research Institute for Integrated Building Energy Safety and Control SystemTsinghua UniversityBeijing 100084China Department of Electrical and Computer Engineering University of ConnecticutStorrsCT 06269USA United Technology Research Center United Technologies CorporationHartfordCT 06108USA

Buildings worldwide account for nearly 40%of global energy *** biggest energy consumer in buildings is the heating,ventilation and air conditioning(HVAC)*** HVAC systems,chillers account for a major portion of the energy *** chillers in good conditions through early fault detection and diagnosis is thus a critical *** this paper,the fault detection and diagnosis for an air-cooled chiller with air coming from outside in variable flow rates is *** problem is difficult since the air-cooled chiller is operating under major uncertainties including the cooling load,and the air temperature and flow rate.A potential method to overcome the difficulty caused by the uncertainties is to perform fault detection and diagnosis based on a gray-box model with parameters regarded as *** method is developed and verified by us in another paper for a water-cooled chiller with the uncertainty of cooling *** verification used a Kalman filter to predict parameters of a gray-box model and statistical process control(SPC)for measuring and analyzing their variations for fault detection and *** gray-box model in the method,however,requires that the air temperature and flow rate be nearly *** introducing two new parameters and deleting data points with low air flow rate,the requirement can be satisfied and the method can then be applicable for an air-cooled *** simulation results show that the method with the revised model and some data points dropped improved the fault detection and diagnosis(FDD)performance *** can detect both sudden and gradual air-cooled chiller capacity degradation and sensor faults as well as their recoveries.

关键词： air-cooled chiller fault detection and diagnosis(FDD) statistical process control(SPC) Kalman filter

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Robust Model Matching for Geometric Fault Detection Filters

Robust Model Matching for Geometric Fault Detection Filters

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American control Conference

作者： Peter Seiler Jozsef Bokor Balint Vanek Gary J. Balas Aerospace and Engineering Mechanics Department University of Minnesota Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences

ISBN: (纸本)9781457700811

Geometric fault detection and isolation filters are known for having excellent fault isolation properties. However, they are generally assumed to be sensitive to model uncertainty and noise. This paper proposes a robust model matching method to incorporate model uncertainty into the design of geometric fault detection filters. Several existing methods for robust filter synthesis are described to solve the robust model matching problem. It is then shown that the robust model matching problem has an interesting self-optimality property for multiplicative input uncertainty models. Finally, a simple example is presented to study the effect of parametric uncertainty and unmodeled dynamics on the performance of a geometric filter.

关键词： Robustness Uncertainty Mathematical model Fault detection Computational modeling Equations Linear matrix inequalities

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Experiment design for Pauli channel estimation

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IFAC Proceedings Volumes 2011年第1期44卷 4344-4349页

作者： Gábor Balló Katalin M. Hangos Department of Electrical Engineering and Information Systems University of Pannonia Egyetem u. 10 H-8200 Veszprém Hungary Process Control Research Group Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences P.O. Box 63 H-1518 Budapest Hungary

Abstract Experiment design for quantum channel parameter estimation includes the design of the quantum input to the channel and the observables to be applied on the resulting quantum output system, called the experiment configuration. An experiment design procedure based on maximizing the Fisher information of the qubit Pauli channel parameters is presented in this paper. It can be shown that the Fisher information is a convex function in both the input and the experiment configuration parameters. This leads to an optimal setting that includes pure input states and projective measurements directed towards the channel directions. An iterative method of estimating the channel directions is also proposed.

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Experiment design for Pauli channel estimation

Experiment design for Pauli channel estimation

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作者： Balló, Gábor Hangos, Katalin M. Department of Electrical Engineering and Information Systems University of Pannonia Egyetem u. 10 H-8200 Veszprém Hungary Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences P.O. Box 63 H-1518 Budapest Hungary

ISBN: (纸本)9783902661937

Experiment design for quantum channel parameter estimation includes the design of the quantum input to the channel and the observables to be applied on the resulting quantum output system, called the experiment configuration. An experiment design procedure based on maximizing the Fisher information of the qubit Pauli channel parameters is presented in this paper. It can be shown that the Fisher information is a convex function in both the input and the experiment configuration parameters. This leads to an optimal setting that includes pure input states and projective measurements directed towards the channel directions. An iterative method of estimating the channel directions is also proposed. © 2011 IFAC.

关键词： Iterative methods

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Model error in observer based state feedback and Youla-parametrized regulator

Model error in observer based state feedback and Youla-param...

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Mediterranean Conference on control and automation (MED)

作者： L. Keviczky Cs. Bányász Computer and Automation Research Institute of the H. Ac. of Sc. Control Engineering Research Group of the H. Ac. of Sc. at the Department of Automation and Informatics Budapest University슠of슠Technology슠and슠Economics Budapest Hungary

Using an equivalent transfer function representation (TFR) it is easier to investigate the error properties of state-feedback/observer (SFO) topologies of modern control systems. The TFR is used to explain why an SFO can radically reduce large model errors. Then the same principle is applied together with Youla-parametrization (YP) introducing a new class of regulators.

关键词： Observers Mathematical model Polynomials Computational modeling Topology Transfer functions

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Fire evacuation model with confidence intervals

Fire evacuation model with confidence intervals

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2011 7th IEEE International Conference on automation Science and engineering, CASE 2011

作者： Gao, Yuan Luh, Peter B. Zhao, Qianchuan Zhang, Hui Wu, Nan Qiao, Lifeng Tsinghua University Beijing 100084 China Tsinghua-UTC Research Institute for Integrated Building Energy Safety and Control System China Department of Electrical and Computer Engineering University of Connecticut United States Chair Professors Group CFINS Tsinghua University Beijing China Center for Public Safety Research Tsinghua University Beijing 100084 China UTRC China

ISBN: (纸本)9781457717307

In building fire evacuation, good guidance can speed up egress process and occupants may be injured due to lack of information and guidance. There are many studies on building egress systems, which use relevant information (e.g., fire condition and its evolution) to calculate and provide guidance to occupants. However, information used to generate guidance may be uncertain, and it is difficult to provide the guidance under uncertainty. How to provide effective guidance to occupants under uncertainty and how to evaluate the confidence of the guidance are critical issues. To describe the confidence of the guidance, the concept of "confidence intervals" is used. By comparing "confidence intervals" with a threshold, acceptable guidance is provided. Testing examples show that the confidence of the guidance can be evaluated and unacceptable guidance can be differentiated with the use of confidence intervals. © 2011 IEEE.

关键词： Fires

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Performance Metrics for Fault Detection and Isolation Filters

Performance Metrics for Fault Detection and Isolation Filter...

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2011 American control Conference (ACC)

作者： Rohit Pandita Jozsef Bokor Gary Balas Department of Aerospace Engineering and Mechanics University of Minnesota Minneapolis MN USA Department of AeroSpace Engineering and Mechanics University of Minnesota Minneapolis MN USA Systems and Control Laboratory Computer and Automation Research Institute of the Hungarian Academy of Sciences Budapest Hungary Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary

关键词： Measurement Actuators Uncertainty Elevators Atmospheric modeling Transfer functions Mathematical model

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