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Multi-objective Optimal Operation of Centralized Battery Swap Charging System with Photovoltaic

Journal of Modern Power Systems and Clean Energy 2022年第1期10卷 149-162页

作者： Yuanzheng Li Yihan Cai Tianyang Zhao Yun Liu Jian Wang Lei Wu Yong Zhao School of Artificial Intelligence and Automation Ministry of Education Key Laboratory of Image Processing and Intelligence ControlHuazhong University of Science and TechnologyWuhanChina School of Electrical and Electronic Engineering Nanyang Technological UniversitySingaporeSingapore College of Mechatronics and Control Engineering Shenzhen UniversityShenzhenChina Department of Electrical&Computer Engineering Stevens Institute of TechnologyHobokenUSA

Electric vehicles(EVs)are widely deployed throughout the world,and photovoltaic(PV)charging stations have emerged for satisfying the charging demands of EV *** paper proposes a multi-objective optimal operation method for the centralized battery swap charging system(CBSCS),in order to enhance the economic efficiency while reducing its adverse effects on power *** proposed method involves a multi-objective optimization scheduling model,which minimizes the total operation cost and smoothes load fluctuations,***,we modify a recently proposed multi-objective optimization algorithm of non-sorting genetic algorithm III(NSGA-III)for solving this scheduling ***,simulation studies verify the effectiveness of the proposed multi-objective operation method.

关键词： Multi-objective optimization electric vehicle battery swap charging system scheduling photovoltaic

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Observability analysis and substrate state estimation of nonlinear reactive sputter processes

Observability analysis and substrate state estimation of non...

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International Conference on Process control (PC)

作者： Fabian Schneider Christian Woelfel Institute of Automation and Computer Control Ruhr University Bochum Universitaetsstrasse 150 Bochum Germany

The substrate state of reactive sputter processes is a quality indicator of the deposited film. However, this state variable is not easily measurable during deposition. This contribution proposes a new method to design a nonlinear reduced observer that determines the substrate state by means of the reactive gas partial pressure, the self-bias voltage and reactive gas inflow. An observability analysis of the Berg model, which is the standard model to describe such processes, is presented. The main result is the proof that the estimated substrate state converges asymptotically. Furthermore, it is proven that the order relation of the plant substrate state and the estimated substrate state is preserved over time.

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Sampled-Data Iterative Learning control for Linear Parabolic Distributed Parameter Systems with Event-Triggered Strategy

Sampled-Data Iterative Learning Control for Linear Parabolic...

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2023 International Annual Conference on Complex Systems and Intelligent Science, CSIS-IAC 2023

作者： He, Jun Dai, Xisheng Zhou, Rusheng School of Automation Guangxi University of Science and Technology Institute of Intelligent Systems and Control Guangxi University of Science and Technology Liuzhou China School of Computer Science and Technology Guangxi University of Science and Technology Liuzhou China

ISBN: (纸本)9798350309003

This paper focuses on the output trajectory tracking problem for linear parabolic distributed parameter systems (DPSs) using sampled-data iterative learning control (ILC) approach. In addition, in order to reduce the number of controller updates, an event-triggered control (ETC) method is introduced, in which the event triggering condition is generated by comparing the output error of the previous iteration batch. The convergence of the output error of the system at the sampling instant is analyzed through a rigorous mathematical proof process, which concludes that the system output error at the sampling instant converges along the direction of the iteration axis. Finally, numerical simulations are given to prove the effectiveness of the proposed method. © 2023 IEEE.

关键词： Iterative methods

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Use of Elements and Algorithms of Intelligent Support in the automation of Technologies for control and Quality Management of Bulk Materials

Use of Elements and Algorithms of Intelligent Support in the...

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2022 International Conference Automatics and Informatics, ICAI 2022

作者： Kalandarov, Palvan I. Ubaydulayeva, Shakhnoza R. Gaziyeva, Rano T. Nikolov, Nikola N. Alexsandrova, Mariela I. National Research University Tashkent Institute of Irrigation and Agricultural Mechanization Engineers Department Automation and Control of Technology Process in Production Tashkent Uzbekistan Technical University of Varna Faculty of Computer Science and Automation Department of Automation Varna9010 Bulgaria

ISBN: (数字)9781665476256

ISBN: (纸本)9781665476256

The article deals with the choice of criteria for efficiency, applicability in measuring technology, analytical and construction, on the basis of which a methodology for assessing the quality of structures of measuring devices of moisture of materials of the agro-industrial complex is proposed. The standard deviation of the random error characterizing the accuracy of measurements is shown. A complex efficiency criterion is discussed, including the dominant particular parameters: accuracy, reliability, cost, allowing to solve the problem of optimal design of humidity control devices for the materials under consideration. As an optimal option, a differential measuring device is analyzed, which practically eliminates random and systematic errors and makes it possible to design a multiparameter measurement method that considers the features of a heterogeneous environment, such as bulk grain materials of the agro-industrial complex © 2022 IEEE.

关键词： Random errors

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Deep Reinforcement Learning of Robotic Manipulation for Whip Targeting

Deep Reinforcement Learning of Robotic Manipulation for Whip...

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2025 IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots, SIMPAR 2025

作者： Bai, Xiang Wang, Junyi Xiong, Xiaofeng Boukas, Evangelos Technical University of Denmark Applied Mathematics and Computer Science Copenhagen Denmark Technical University of Denmark Automation and Control Group Electrical and Photonics Engineering Copenhagen Denmark University of Southern Denmark Sdu Biorobotics Mærsk Mc-Kinney Moller Institute Odense Denmark

ISBN: (纸本)9798331516857

关键词： Robotic arms

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Generalized Zero-Shot Learning via Implicit Attribute Composition

Generalized Zero-Shot Learning via Implicit Attribute Compos...

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2023 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023

作者： Zhou, Lei Liu, Yang Li, Qiang School of Computer Science and Artificial Intelligence Wuhan University of Technology Wuhan China College of Computer Science and Technology Zhejiang University Hangzhou China Institute of Automation Chinese Academy of Sciences State Key Laboratory for Management and Control of Complex Systems Beijing China

ISBN: (纸本)9798350337020

Zero-shot learning (ZSL) is an important but challenging task in computer vision that aims to identify unseen classes without matching training samples. Current cutting-edge ZSL methods based on locality focus on acquiring the explicit locality of distinguishing characteristics, which could face a lack of adequate supervision at the class attribute level. This paper introduces a novel approach called IAC, which aims to learn Implicit Attribute Composition for ZSL. This method is more comprehensive compared to attribute localization that solely focuses on class-level attribute supervision. IAC utilizes subspace representations that efficiently capture the inherent structure of high-dimensional image features. Then, we learn implicit attribute composition through subspace representation learning. The superiority of the proposed IAC compared to the state-of-the-art is demonstrated through sufficient experiments conducted on three commonly used ZSL datasets, CUB, SUN, and AwA2. © 2023 IEEE.

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From News to Summaries: Building a Hungarian Corpus for Extractive and Abstractive Summarization

arXiv

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arXiv 2024年

作者： Barta, Botond Lakatos, Dorina Nagy, Attila Nyist, Milán Konor Ács, Judit HUN-REN Institute for Computer Science and Control Department of Automation and Applied Informatics Budapest University of Technology and Economics Hungary

Training summarization models requires substantial amounts of training data. However for less resourceful languages like Hungarian, openly available models and datasets are notably scarce. To address this gap our paper introduces HunSum-2 an open-source Hungarian corpus suitable for training abstractive and extractive summarization models. The dataset is assembled from segments of the Common Crawl corpus undergoing thorough cleaning, preprocessing and deduplication. In addition to abstractive summarization we generate sentence-level labels for extractive summarization using sentence similarity. We train baseline models for both extractive and abstractive summarization using the collected dataset. To demonstrate the effectiveness of the trained models, we perform both quantitative and qualitative evaluation. Our dataset, models and code are publicly available, encouraging replication, further research, and real-world applications across various domains. © 2024, CC BY.

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State controller with Improved Response Speed for Linear Discrete SISO Systems

State Controller with Improved Response Speed for Linear Dis...

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2022 International Conference Automatics and Informatics, ICAI 2022

作者： Nikolov, Nikola Alexandrova, Mariela Gaziyeva, Rano Ubaydullayeva, Shakhnoza Technical University of Varna Faculty of Computer Sciences and Automation Department of Automation Varna9010 Bulgaria National Research University Tashkent Institute of Irrigation and Agricultural Mechanization Engineers Department Automation and Control of Technology Process in Production Tashkent100000 Uzbekistan

ISBN: (数字)9781665476256

ISBN: (纸本)9781665476256

This paper presents an opportunity to create a linear discrete system (LDS) with a modal state controller for Single Input Single Output objects control. The created controller has an integrating element and a relationship between the set point (SP) and the control object (CO), implemented with an inverse model on the object. The proposed system guarantees handling of the perturbances and providing an improvement in the system performance as in PID-controller systems. In structure proposed, an LQR state controller could be used instead of the MSC. © 2022 IEEE.

关键词： Three term control systems

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Quantifying controllability for Nonlinear State-Dependent Riccati Equation control

Quantifying Controllability for Nonlinear State-Dependent Ri...

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2022 International Russian automation Conference, RusAutoCon 2022

作者： Hu, Yuhui Neusypin, Konstantin Avenirovich Shen, Kai Bauman Moscow State Technical University Faculty of Computer Science and Control Systems Moscow Russia Beijing Institute of Technology School of Automation Beijing China

ISBN: (数字)9781665466554

ISBN: (纸本)9781665466554

Degree of controllability (DOC) characterizes how controllable a given system is and thus quantifying controllability can facilitate the control system synthesis and optimization. In this paper, the controllability of nonlinear input-affine systems and the state-dependent-coefficient (SDC) factorization are first reviewed. A computational procedure based on the scalarization of the controllability Gramian is proposed to quantify the controllability of both system and state variables of the SDC factored system for state-dependent Riccati equation (SDRE) control. The simulation of coordinate satellite control is carried out to validate the effectiveness of the proposed DOC criterion. It is shown that SDC-parameterized models with higher DOC can promote the performance of the SDRE control algorithm. © 2022 IEEE.

关键词： controllability

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Design and Implement for Infrared Imaging Strapdown Seeker Simulation and Test System 42

Design and Implement for Infrared Imaging Strapdown Seeker S...

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42nd Chinese control Conference, CCC 2023

作者： Tao, Li Yi, Zhang Dan, Yang Shu-Jie, Liu Peng-Fei, Zhang Bo-Yi, Kang Pei, Pei Xi'an Modern Control Technology Research Institute Xi'an710065 China School of Automation Northwestern Polytechnical University Xi'an710072 China Technology Center Southwest Computer Co. Ltd Chongqing400060 China

ISBN: (纸本)9789887581543

In order to satisfy the stabilization requirements of the infrared imaging seeker, this paper derives the strapdown decoupling algorithm and obtains the line of sight (LOS) angular velocity required by proportional navigation law based on α-β filter. An infrared imaging strapdown seeker (IISS) simulation and test system is established based on Real-time extension (RTX) under the Windows operating system. Based on the system, simulation and test of the target tracking performance and disturbance rejection rate (DRR) of the seeker are executed. Simulation results show that the system can be suitable for verifying the performance of infrared imaging seeker and the validity of strapdown decoupling algorithm and practicability of the simulation system framework. The simulation system can provide a useful reference for other similar strapdown seeker simulation systems. © 2023 Technical Committee on control Theory, Chinese Association of automation.

关键词： Disturbance rejection

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