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Retraction notice to “Multi-objective planning of microgrid based on renewable energy sources and energy storage system” [J. Energy Storage 68 (2023) 107803]

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Journal of Energy Storage 2025年 117卷

作者： Hao Tian Keqing Wang Xiufeng Cui Zexi Chen Ergang Zhao Sara Saeedi School of Automation Wuxi University Wuxi 214105 China State Key Lab of Control and Simulation of Power Systems and Generation Equipments Dept. of Electrical Engineering Tsinghua University Haidian District Beijing 100086 China Beijing Sifang Engineering Co. Ltd Beijing 100085 China State Grid Beijing Urban Power Supply Company Beijing 100034 China Electrical Engineering Department Sun-Life Company Baku Azerbaijan

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Data Security in Smart Grid

Data Security in Smart Grid

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International Conference on Electronics, Computers and Artificial Intelligence (ECAI)

作者： Marius-Alexandru Dobrea Mihaela Vasluianu Giorgian Neculoiu Stefan Bichiu Dept. of Automatic Control and Industrial Informatics University Politehnica of Bucharest Bucharest Romania Collective of Automation and Applied Informatics Faculty of Hidrotehnics Technical University of Civil Engineering of Bucharest Bucharest Romania Dept. of Energy Generation and Use University Politehnica of Bucharest Bucharest Romania

ISBN: (数字)9781728168432

ISBN: (纸本)9781728168449

Looking at the Smart Grid as a Cyber - Physical system of great complexity, the paper synthesizes the main IT security issues that may arise. Security issues are seen from a hybrid point of view, combining theory of information with system theory. Smart Grid has changed dramatically over the past years. With modern technologies, such as Big Data or Internet of Things (IoT), the Smart Grid is evolving into a more interconnected and dynamic power network model.

关键词： Smart grids Security Smart meters control systems Intrusion detection Real-time systems Monitoring

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Sampled-data fault tolerant controller design for a T-S fuzzy system

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Transactions of the Korean Institute of Electrical Engineers 2019年第7期68卷 916-922页

作者： Sol Kim, Han Hoon Joo, Young School of IT Information and Control Engineering Kunsan National Univerity Korea Republic of Dept. of Control and Automation Engineering Korea Maritime and Ocean University Korea Republic of

This paper deals with the fault tolerant control design problem for a Takagi-Sugeno (T-S) fuzzy system. The exact discretization approach is employed to derive the linear matrix inequality (LMI)-based stability condition of the system in which the continuous-time and discrete-time state variables are mixed due to the sampled-data controller feeding back the sampled state vector. Moreover, it is assumed that the controller includes an uncertain fault matrix that varies in time. Therefore, the time-varying fault matrix appears in the stability condition, which complicates the analysis. To handle this problem, the fault matrix is decomposed into both time dependent and independent terms using its upper and lower bounds. And then, the resulting stability condition is constructed to only depend on the time independent terms of the fault matrix. Finally, the proposed sampled-data fault tolerant controller design method is validated through the simulation example. Copyright © The Korean Institute of Electrical Engineers

关键词： Linear matrix inequalities

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Fault tolerant sliding mode chaotic synchronization controller design for an interval type-2 fuzzy system

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Transactions of the Korean Institute of Electrical Engineers 2019年第9期68卷 1143-1150页

作者： Kim, Han Sol Joo, Young Hoon School of IT Information and Control Engineering Kunsan National Univerity Korea Republic of Dept. of Control and Automation Engineering Korea Maritime and Ocean University Korea Republic of

This paper deals with the fault tolerant interval type-2 fuzzy integral sliding mode controller design for time-varying uncertain chaotic systems including actuator faults. The overall control system consists of driving and response chaotic systems, and the control objective is to synchronize the state variables of these systems. To this end, the chaotic system including uncertain terms is expressed by the interval type-2 fuzzy model. Also, the failure occurring in the actuator is represented by a fault matrix having time-varying unknown parameters. In this paper, the fault matrix is divided into the time-varying and time-invariant terms, which makes the sufficient condition have only time-invariant part of the fault matrix. Finally, we validate the proposed method through simulation examples. Copyright © The Korean Institute of Electrical Engineers

关键词： Linear matrix inequalities

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Sampled-data Fuzzy Observer Design for State Estimation of Uncertain Systems under Imperfect Premise Matching

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Transactions of the Korean Institute of Electrical Engineers 2019年第11期68卷 1403-1410页

In this paper, we propose a sampled-data fuzzy observer design technique for estimating the state variables of a nonlinear system with model uncertainty. It is assumed that the IF-THEN rules of the fuzzy system contains immeasurable premise variables, which complicates the observer design. In this paper, the observer is assumed not to share the same premise part with that of the system in order to deal with the immeasurable premise condition. After then, the error between the observer and the system including model uncertainty is represented by the Takagi-Sugeno (T-S) fuzzy model. In order to minimize the impact of imperfect premise matching, model uncertainty, and disturbances on the state estimation, an H∞ performance criterion is defined. Based on the fuzzy Lyapunov function, we derive a sufficient condition in the form of linear matrix inequality to ensure that the error dynamics is asymptotically stable and satisfy the H∞ condition. Finally, a simulation example verifies the superiority of the proposed method. Copyright © The Korean Institute of Electrical Engineers

关键词： Linear matrix inequalities

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Bayesian Neural Networks Uncertainty Quantification with Cubature Rules

Bayesian Neural Networks Uncertainty Quantification with Cub...

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International Joint Conference on Neural Networks (IJCNN)

作者： Peng Wang Nidhal C. Bouaynaya Lyudmila Mihaylova Jikai Wang Qibin Zhang Renke He Automatic Control & Systems Engineering Dept. The University of Sheffield Information and Navigation College Air Force Engineering University The 32nd Research Institute of CETC Department of Automation University of Science and Technology of China Department of Electrical and Computer Engineering Rowan University

ISBN: (数字)9781728169262

ISBN: (纸本)9781728169279

Bayesian neural networks are powerful inference methods by accounting for randomness in the data and the network model. Uncertainty quantification at the output of neural networks is critical, especially for applications such as autonomous driving and hazardous weather forecasting. However, approaches for theoretical analysis of Bayesian neural networks remain limited. This paper makes a step forward towards mathematical quantification of uncertainty in neural network models and proposes a cubature-rule-based computationally-efficient uncertainty quantification approach that captures layer-wise uncertainties of Bayesian neural networks. The proposed approach approximates the first two moments of the posterior distribution of the parameters by propagating cubature points across the network nonlinearities. Simulation results show that the proposed approach can achieve more diverse layer-wise uncertainty quantification results of neural networks with a fast convergence rate.

关键词： Neural networks Uncertainty Bayes methods Computational modeling Gaussian distribution Two dimensional displays Weather forecasting

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The automated system for bandsaw blade properties measurement

The automated system for bandsaw blade properties measuremen...

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23rd International Conference on Circuits, Systems, Communications and Computers, CSCC 2019

作者： Sysala, Tomas Stuchlík, Karel Neumann, Petr TBU in Zlin Dept. of Automation and Control Engineering Faculty of Appl. Informatics Nad Stranemi 4511 Zlin Czech Republic TBU in Zlin Dept. of Electronics and Measurements Faculty of Applied Informatics Nad Stranemi 4511 Zlin Czech Republic

The article describes the bandsaw blade properties innovative method design and realization. The introduction contens individual bandsaw parts description, including their important parameters overview. The innovative methods design delineation follows. The constructed device based on our design minimizes the human error influence. Moreover, it is collecting and archiving measured data. The article covers also the design and software realization. In the end, some measured data examples are stated. © 2019 The Authors, published by EDP Sciences.

关键词： automation

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Designing robust controllers by the mini-max search method: Keynote paper

Designing robust controllers by the mini-max search method: ...

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2019 International Siberian Conference on control and Communications, SIBCON 2019

作者： Zhmud, Vadim Stukach, Oleg Ivoilov, Andrey Roth, Hubert Dimitrov, Lubomir Dept. of Automation Novosibirsk State Technical University Novosibirsk Russia National Research University Higher School of Economics Novosibirsk State Technical University Moscow Russia Dept. of Automatic Control Engineering University of Siegen Siegen Germany Vice-Rector of Technical University of Sofia Sofia Bulgaria

ISBN: (纸本)9781538651414

The problem of regulators (controllers) design is extremely relevant in connection with the penetration into all technological areas of the methods of precise control of objects with feedback. Such devices are being more and more used, which increases the variety of controlled objects. This list includes all new objects of robotics and technological setups, which have much more complex mathematical models. One of the most urgent problems in this area is control of non-stationary objects. Parameters of mathematical model of these objects are given with some uncertainty, but not in fixed values, i.e. by only intervals of their possible changes. If the intervals are too wide, adaptive systems have to be designed, but if they are not too wide, then one can try to find a universal regulator setting that will be sufficiently effective for all ratios of the model parameters within the acceptable intervals of their changes. The paper proposes a new method of the numerical optimization of regulator for finding such a setting for the worst object model that is for the worst combination of all variable parameters. Finding the worst model is also carried out by a numerical optimization method, in which a combination of model parameters is found where the best regulator gives the worst result. The problem is proposed to solve in several optimization cycles with alternation of objective functions. The technique has been well illustrated by a numerical example. © 2019 IEEE.

关键词： controllers

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A hybrid model based on stacking and multi-correction mechanisms for urban water demand prediction ⁎

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IFAC-PapersOnLine 2020年第2期53卷 16685-16690页

作者： Yang Lan Jingcheng Wang Miaoshun Bai Ibrahim Brahmia Haotian Xu Piao Hu Yuhao Long Yeming Zhang Dept. of Automation Shanghai Jiaotong University Key Laboratory of System Control and Information Processing Ministry of education of China Shanghai 200240 China. Autonomous Systems and Intelligent Control International Joint Research Center Xi’an Technological University Xi’an Shaanxi710021 China. Shanghai Municipal engineering Design Institute (Group) Co. Ltd.

Water demand prediction is the key link for the effective operation of urban intelligent water supply system. Since the non-linearity and complex variability of water consumption, it is difficult for traditional water demand prediction models to guarantee high accuracy for a long period. Different holiday types and even tiny changes in temperatures can affect urban water demand seriously. This paper proposes a Stacking-based hybrid model which integrates multi-correction mechanisms to address these problems. A better stacking model is proposed to minimize the generalization error. The stability and reliability of predictions are improved through the design of multi-correction mechanisms such as high temperature weather compensation feature, holiday-type correction model and water quantity fluctuation correction model. Comparing different models before and after stacking also before and after correcting, the prediction accuracy of the proposed hybrid model is much higher and the predictions are more stable and reliable.

关键词： Water supply system Prediction methods Hybrid models Stacking methods Multi-correction mechanisms Neural-network models Time-series analysis

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A New Method for Deriving Weights in Group Fuzzy Analytic Hierarchy Process and Evaluation Measures

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IFAC-PapersOnLine 2020年第2期53卷 7941-7946页

作者： Lin Che Yeming Zhang Jingcheng Wang Miaoshun Bai Dept. of Automation Shanghai Jiaotong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China Shanghai Municipal Engineering Design Institute (Group) Co. Ltd. China Autonomous Systems and Intelligent Control International Joint Research Center Xi’an Technological University Xi’an Shaanxi 710021 China

The paper discusses fuzzy comparison matrices, consistency check, weight prioritization methods and weight evaluation methods in fuzzy group analytic hierarchy process. There are various methods of weight prioritization, however, they are not critically evaluated. In the paper, two measures are introduced for the evaluation of the group weights. Then, a new method is proposed to improve the process of deriving weights and use it in an application compared to another common three methods. Our results show that the new method is a good method for deriving weights of indexes.

关键词： Group Fuzzy AHP Ari-Geo Method Assessment Measure Fuzzy Consistency Check Triangular Fuzzy Number

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