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2021 IEEE International Conference on computer Science, Artificial Intelligence and Electronic engineering, CSAIEE 2021

作者： Zheng, Ling Xu, Peixin Bai, Jiayin North China Electric Power University Faculty of Control and Computer Engineering Department of Computer Technology Huilongguan Town Changping District Beijing China State Grid Beijing Tongzhou Electric Power Supply Company Beijing China

ISBN: (纸本)9781665422048

In the power grid system, the accurate determination and precise positioning of faulty equipment is an important foundation for realizing the self-healing function of the power grid. With the increasing complexity of the power grid topology, traditional fault location methods are prone to misjudge the faulty equipment and the normal equipment in the station, causing problems such as low positioning accuracy and poor stability. To locate faulty equipment quickly and accurately, this paper proposes a power grid fault location method based on pre-training of convolutional autoencoder. The method is based on the synchronous phasor measurement unit (PMU), which converts its sequence data into images to reduce noise interference. The method pre-trains lots of samples by using convolutional autoencoder, and then uses a classifier to fine-tune small batches of balanced samples. Finally, the faulty equipment in the power grid can be accurately located by dividing the area multiple times and positioning the faulty equipment gradually. Experiments and simulations show that compared with other mainstream methods, this method has higher robustness and stability, can effectively alleviate the impact of data imbalance, and improve the accuracy and accuracy of faulty equipment location. © 2021 IEEE.

关键词： Phasor measurement units

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A numerical study of time and frequency domain maximum likelihood estimation

A numerical study of time and frequency domain maximum likel...

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15th IFAC Symposium on System Identification, SYSID 2009

作者： Delgado, Ramón A. Yuz, Juan I. Agüero, Juan C. Goodwin, Graham C. Department of Electronic Engineering Universidad Técnica Federico Santa María Valparaíso Chile ARC Centre for Complex Dynamics Systems and Control School of Electrical Engineering and Computer Science University of Newcastle Australia

ISBN: (纸本)9783902661470

Different maximum likelihood formulations have been proposed in the literature for dynamic system Identification in the time and frequency domains. In this paper we present numerical examples to study and compare these approaches for short and long data sets. In particular, in the time domain, different likelihood functions are obtained depending on whether or not the initial state is considered as a random vector, as a deterministic parameter, or equal to zero. Similar assumptions can be made in the frequency domain regarding an extra term that contains the difference between the initial and final state. © 2009 IFAC.

关键词： Maximum likelihood estimation

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Multi-Objective Complementary control

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IEEE Transactions on Automatic control 2024年第6期70卷 3556-3570页

作者： Xu, Jiapeng Chen, Xiang Tan, Ying Zhou, Kemin University of Windsor Department of Electrical and Computer Engineering 401 Sunset Avenue WindsorONN9B 3P4 Canada The University of Melbourne Department of Mechanical Engineering MelbourneVIC3010 Australia Nanjing University Center for Advanced Control and Smart Operations Jiangsu Suzhou215163 China

This paper proposes a novel multi-objective control framework for linear time-invariant systems in which performance and robustness can be achieved in a complementary way instead of a trade-off. In particular, a state-space solution is first established for a new stabilizing control structure consisting of two independently designed controllers coordinated with a Youla-type operator Q. It is then shown by performance analysis that these two independently designed controllers operate in a naturally complementary way for a tracking control system, due to the coordination function of Q driven by the residual signal of a Luenberger observer. Moreover, it is pointed out that Q could be further optimized with an additional gain factor to achieve improved performance, through a data-driven methodology for a measured cost function. © 1963-2012 IEEE.

关键词： Cost functions

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Automatic test case generation in model based software design to achieve higher reliability

Automatic test case generation in model based software desig...

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International Conference on Reliability, Safety and Hazard

作者： Wakankar, A. Bhattacharjee, A.K. Dhodapkar, S.D. Pandya, P.K. Arya, Kavi Reactor Control Division Bhabha Atomic Research Centre Mumbai India School of Technology and Computer Science Tata Institute of Fundamental Research Mumbai India Department of Computer Science and Engineering Indian Institute of Technology Mumbai India

ISBN: (纸本)9781424483433

Model based design methodology is increasingly being used in the development of software for embedded controllers for safety class applications. SCADE Suite is a set of tools that support model based design of software for embedded systems. The model validation activity in SCADE involves model simulation guided by set of test cases that are based on system requirements (Functional or blackbox) and structural coverage criteria like MC/DC (Whitebox). However, systematically devising a test case based on such criterion is not easy and often the designer is required to analyze the model to design a test sequence, which will meet the required criteria. In this paper, we demonstrate the use of a technique based on model checking to automate the generation of such test cases for SCADE models. For automatic test case generation, the tool SAL-ATG was used that can generate the test cases for the models developed in SAL specification language. MCIDC coverage criterion was adopted for generating the test goals to be covered by generated test cases. © 2010 IEEE.

关键词： Model checking

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Multivariate S-procedure

Multivariate S-procedure

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European control Conference (ECC)

作者： Z. Szabó Zs. Biró J. Bokor Institute for Computer Science and Control Hungarian Academy of Sciences Hungary Institute for Computer Science and Control MTA-BME Control Engineering Research Group Hungary

ISBN: (纸本)9781479901890

Different variants of the S-procedure provides a very important tool in robust stability and robust performance analysis. Concerning performance assessment this paper shows that the design framework based on the full block S-procedure (extended KYP lemma) contains an inherent conservativeness. The main result of the paper is a multivariate version of the classical S-procedure, stated for negative graph subspaces. A new solvability condition for the Elimination lemma is also provided.

关键词： Symmetric matrices Linear matrix inequalities Robustness control systems Uncertainty Robust stability Robust control

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Wavelet chaotic neural networks and their application to optimization problems

Wavelet chaotic neural networks and their application to opt...

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3rd International Symposium on Neural Networks, ISNN 2006 - Advances in Neural Networks

作者： Xu, Yao-Qun Sun, Ming Duan, Guangren Center for Control Theory and Guidance Technology Harbin Institute of Technology 150001 Harbin China Institute of Computer and Information Engineering Harbin Commercial University 150028 Harbin China

ISBN: (纸本)354034439X

In this paper, we first review Chen's chaotic neural network model and then propose a novel wavelet chaotic neural network. Second, we apply them to search global minima of a continuous function, respectively. Meanwhile, the time evolution figures of the corresponding most positive Lyapunov exponent are given. Third, 10-city traveling salesman problem (TSP) is given to make a comparison between them. Finally we conclude that the novel wavelet chaotic neural network is more valid. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Neural networks

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KartalOl: a new deep neural network framework based on transfer learning for iris segmentation and localization task—new dataset for iris segmentation

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Iran Journal of computer Science 2023年第4期6卷 307-319页

作者： Khiarak, Jalil Nourmohammadi Oskouei, Amin Golzari Nasab, Samaneh Salehi Jaryani, Farhang Moafinejad, Seyed Naeim Pourmohamad, Rana Amini, Yasin Noshad, Morteza Institute of Control and Computation Engineering Warsaw University of Technology Ul. Nowowiejska 15/19 Warsaw 00-665 Poland Department of Computer Engineering Faculty of Electrical and Computer Engineering University of Tabriz Tabriz Iran School of Engineering Lorestan University Aleshtar Campus Aleshtar Iran Faculty of Engineering Arak University Arak Iran Department of Physics Shahid Beheshti University Tehran Iran School of Computing Informatics and Decision Systems Engineering Arizona State University AZ United States Faculty of Electrical and Computer Engineering University of Kharazmi Tehran Iran Stanford University Stanford United States

Iris segmentation and localization in unconstrained environments are challenging due to long distances, illumination variations, limited user cooperation, and moving subjects. Some existing methods in the literature have somehow mitigated some of the above-mentioned issues. In this paper, motivated by these weaknesses, we propose a framework that employs a deep neural network-based approach to iris segmentation and localization. The proposed framework is based on a U-Net architecture initialized with a pre-trained MobileNetV2 model. In addition, to better study the detectors in iris recognition scenarios, we have collected 1000 images. The provided dataset (KartalOl) is made publicly available for the research community. In the proposed framework, to have better generalization, we fine-tuned the MobileNetV2 model on the provided data for NIR-ISL 2021 from the CASIA-Iris-Asia, CASIA-Iris-M1, and CASIA-Iris-Africa and our dataset. Likewise, data augmentation techniques are applied on images. We chose the binarization threshold for the binary masks by iterating over the images in the provided dataset. The proposed framework is trained and tested in CASIA-Iris-Asia, CASIA-Iris-M1, and CASIA-Iris-Africa, along with the KartalOl dataset. The experimental results highlight that our method surpasses state-of-the-art methods on mobile-based benchmarks. The implementation source code of KartalOl is made publicly available at https://***/Jalilnkh/KartalOl-NIR-ISL2021031301. © The Author(s) 2023.

关键词： Iris segmentation Localization MobileNetV2 model Unconstrained environment

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Transparently mining data from a medium-voltage distribution network: A prognostic-diagnostic analysis

Transparently mining data from a medium-voltage distribution...

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2019 Workshops of the EDBT/ICDT Joint Conference, EDBT/ICDT-WS 2019

作者： Nisi, Matteo Renga, Daniela Apiletti, Daniele Giordano, Danilo Huang, Tao Zhang, Yang Mellia, Marco Baralis, Elena Department of Electronics and Telecommunications Politecnico di Torino Italy Department of Control and Computer Engineering Politecnico di Torino Italy Department of Energy Politecnico di Torino Italy

With the shift from the traditional electric grid to the smart grid paradigm, huge amounts of data are collected during system operations. Data analytics become of fundamental importance in power networks to enable predictive maintenance, to perform effective diagnosis, and to reduce related expenditures. The final goal is to improve the electric service efficiency and reliability to the benefit of both the citizens and the grid operators themselves. This paper considers a dataset collected over 6 years in a real-world medium-voltage distribution network by the Supervisory control And Data Acquisition (SCADA) system. A transparent, exploratory, and exhaustive data-mining approach, based on association rule extraction, is applied to automatically identify correlations among SCADA events occurring before and after specific service interruptions, i.e., distribution network faults of interest. Therefore, both the prognostic and the diagnostic potentials of the dataset are investigated with respect to the occurrence of permanent service interruptions. Our results highlight a limited predictive capability of the available set of SCADA events, while they can be effectively exploited for diagnostic purposes. © 2019 Copyright held by the author(s).

关键词： Data mining

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Learn2control: A project-oriented approach to teaching control engineering

Learn2Control: A project-oriented approach to teaching contr...

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2004 IEEE International Symposium on computer Aided control System Design

作者： Völker, Marten Liefeldt, Andreas Engell, Sebastian Schmid, Christian Department of Biochemical and Chemical Engineering Universität Dortmund 44221 Dortmund Germany Institute of Automation and Computer Control Ruhr-Universität Bochum 44780 Bochum Germany

LEARN2control is a new computer-based learning system, that can be used to deepen basic knowledge in control engineering by self-study in a project-oriented environment The didactic concept aims at teaching the depend... 详细信息

关键词： control systems

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A Robust Guaranteed Cost Formation control for a Class of Uncertain Multi-Agent Systems for Event-Trigger-Based Variable Gain controllers 6

A Robust Guaranteed Cost Formation Control for a Class of Un...

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6th International Conference on Electrical, control and Instrumentation engineering, ICECIE 2024

作者： Asada, Daiki Oya, Hidetoshi Nagai, Shunya Hoshi, Yoshikatsu Graduate School of Integrative Science and Engineering Tokyo City University Tokyo Japan Tokyo City University The Department of Computer Science Tokyo Japan Niihama College Department of Electronics and Control Engineering Ehime Japan

ISBN: (纸本)9798350380040

In this paper, we propose a design method for a new event-trigger-based variable gain robust controller which achieves both consensus and guaranteed cost performance for a class of uncertain multi-agent systems (MASs) with the leader-follower structure. The proposed variable gain robust controller is composed of stabilizing state feedback laws, state feedback inputs for consensus, and compensation inputs with adjustable parameters, and is designed for giving consideration to relative positions explicitly. In this paper, we show that sufficient conditions for the existence of the proposed robust guaranteed cost formation controller are given in terms of Linear Matrix Inequalities (LMIs). Finally, a simple example is included. © 2024 IEEE.

关键词： State feedback

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