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International Conference on Radio Electronics & Info Communications (UkrMiCo)

作者： Maryna Miroshnyk Olexander Shkil Elvira Kulak Dariia Rakhlis Yurii Pahomov Anatolii Miroshnyk dept. Specialized Computer Systems Ukrainian State University of Railway Transport Kharkiv Ukraine dept. Computer Engineering Design Kharkiv National University of Radio Electronics Kharkiv Ukraine dept. Automation and Control Technical Systems of the National Technical University "Kharkov Polytechnic Institute" Kharkiv Ukraine

ISBN: (数字)9781728126920

ISBN: (纸本)9781728126937

The method of detection and localization of design errors in HDL-models of finite state machines with arbitrary output functions was proposed. The diagnostic experiment is carried out bypassing all arcs of the Mealy machine, starting from the initial vertex, including for machines of the "non-exclusive" class. To ensure the return of the machine with a possible design error in the initial state, it is suggested to use synchronizing sequences. Diagnostic experiments were performed in the Active-HDL design environment.

关键词： Automata Decision trees Hardware design languages Simulation Finite element analysis Visualization Signal analysis

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Model reduction and identification of nonlinear reactive sputter processes

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IFAC-PapersOnLine 2017年第1期50卷 13728-13734页

作者： Woelfel, Christian Awakowicz, Peter Lunze, Jan Institute of Automation and Computer Control Ruhr-University Bochum Germany Institute for Electrical Engineering and Plasma Technology Ruhr-University Bochum Germany

A model for nonlinear reactive sputter processes is developed based on a system theoretic analysis. Hence, a physical model from the fields of thin film science and vacuum science is analysed and reduced in order to describe the input/output behavior of the process by a nonlinear Abel differential equation. Hereby the input/output behavior is related to a supercritical Pitchfork-bifurcation. The parameter identification of the reduced model is discussed and an experiment for model validation is presented. The experiment shows high conformity between the reduced model and the measured input/output behavior of the process. The reduced model can be used as basis for control design for process stabilization. © 2017

关键词： Reactive sputtering Differential equations Nonlinear equations Nonlinear systems Input/output behaviors Model reduction Model validation Pitch fork bifurcations Process identification Process stabilization Sputter process Theoretic analysis

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Feedforward and state-feedback control of deterministic I/O automata

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IFAC-PapersOnLine 2017年第1期50卷 13426-13433页

作者： Zgorzelski, M. Lunze, J. Institute of Automation and Computer Control Ruhr-Universität Bochum Universitätsstrasse 150 BochumD-44780 Germany

This paper presents two alternative control methods for plants modelled by a deterministic I/O automaton: A feedforward and state-feedback controller. The control aim is to steer the plant into a desired final state, which is given during operation and is not known in advance. For the definition of the controller a new trajectory matrix is introduced, which for each pair of plant states represents the first state transition corresponding to the shortest path connecting the states. The feedforward controller is modelled by a deterministic I/O automaton as a sequential logic. The state-feedback structure simplifies the representation of the controller to an I/O map. It is proved that both controllers steer the plant on a shortest state trajectory into the desired final state. The results are demonstrated by an experimental application on a handling system. © 2017

关键词： controllers Feedback control Feedforward control State feedback Experimental application Feed forward controllers Feedback structure Set point control State feedback controller State trajectory State transitions Trajectory matrix

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Dexterous Manipulation through Imitation Learning: A Survey

arXiv

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arXiv 2025年

作者： An, Shan Meng, Ziyu Tang, Chao Zhou, Yuning Liu, Tengyu Ding, Fangqiang Zhang, Shufang Mu, Yao Song, Ran Zhang, Wei Hou, Zeng-Guang Zhang, Hong School of Electrical and Information Engineering Tianjin University Tianjin300072 China School of Control Science and Engineering Shandong University Jinan250061 China State Key Laboratory of General Artificial Intelligence Beijing100086 China Department of Mechanical and Process Engineering ETH Zurich Zurich8092 Switzerland Department of Electronic and Electrical Engineering Southern University of Science and Technology Shenzhen518055 China School of Informatics University of Edinburgh EH8 9AB United Kingdom Department of Computer Science University of Hong Kong 999077 Hong Kong State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing100049 China CASIA-MUST Joint Laboratory of Intelligence Science and Technology Institute of Systems Engineering Macau University of Science and Technology 999078 China

Dexterous manipulation, which refers to the ability of a robotic hand or multi-fingered end-effector to skillfully control, reorient, and manipulate objects through precise, coordinated finger movements and adaptive force modulation, enables complex interactions similar to human hand dexterity. With recent advances in robotics and machine learning, there is a growing demand for these systems to operate in complex and unstructured environments. Traditional model-based approaches struggle to generalize across tasks and object variations due to the high-dimensionality and complex contact dynamics of dexterous manipulation. Although model-free methods such as reinforcement learning (RL) show promise, they require extensive training, large-scale interaction data, and carefully designed rewards for stability and effectiveness. Imitation learning (IL) offers an alternative by allowing robots to acquire dexterous manipulation skills directly from expert demonstrations, capturing fine-grained coordination and contact dynamics while bypassing the need for explicit modeling and large-scale trial-and-error. This survey provides an overview of dexterous manipulation methods based on imitation learning (IL), details recent advances, and addresses key challenges in the field. Additionally, it explores potential research directions to enhance IL-driven dexterous manipulation. Our goal is to offer researchers and practitioners a comprehensive introduction to this rapidly evolving domain. Copyright © 2025, The Authors. All rights reserved.

关键词： Grippers

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Blockchain Technology Based Decentralized Energy Trading for Multiple-Microgrid Systems

Blockchain Technology Based Decentralized Energy Trading for...

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IEEE Conference on Energy Internet and Energy System Integration (EI2)

作者： Ting Li Wei Zhang Ning Chen Minhui Qian Ying Xu School of Electrical Engineering and Automation Harbin Institute of Technology Harbin China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China EPRI Nanjing China Department of Electrical Engineering & Computer Science University of Central Florida Orlando USA

ISBN: (数字)9781728131375

ISBN: (纸本)9781728131382

With the emerging technology for distributed generation and urge of improving quality of service of power supply for energy users, more and more Microgrids (MGs) are integrated into the distributed networks to serve the energy users. These Microgrids are gradually formulating a Multi-Microgrid System (MMGS, Multi-Microgrid System), which will play an important role for the future energy supply. Building a centralized control center not only increases the expense of investment, but also brings the issues of maintaining fairness among energy users. To address these problems, this paper proposes a peer-to-peer method for energy trading of MMGS, based on the idea of decentralized trading. An auction-based trading mechanism suitable for peer-to-peer energy trading is proposed first. For this mechanism, the MGs firstly declare their energy buying bids or selling quotations. Then, the market-clearing price is determined by using a unified weight clearing algorithm in a decentralized manner. By applying the edge technology of Blockchain, the implementation of the proposed peer-to-peer energy trading method, including the architecture, procedures, security check, etc., is also discussed. The proposed Blockchain-based energy trading platform can realize the decentralized and autonomous energy trading of MGs within an MMGS. A case study with an MMGS with 10 MG units is provided to demonstrate the effectiveness of the proposed approach.

关键词： Peer-to-peer computing Microgrids Blockchain Distributed power generation Electronic commerce Power distribution economics Pricing

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Electric power supply of steel producing companies: Schematic design solutions to improve reliability of power grids

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AIP Conference Proceedings 2022年第1期2686卷

作者： Gennady P. Kornilov Ildar R. Abdulveleev Oxana S. Logunova Palvan I. Kalandarov Obid Tursunov Dilshod Kodirov Doniyor Abdurakhimov 1Department of Power Supply of Industrial Enterprises Nosov Mangnitogorsk State Technical University Magnitogorsk Russia 2Department of Computer Engineering and Programming Nosov Mangnitogorsk State Technical University Magnitogorsk Russia 3Department of Automation and Control of Technological Process and Production Tashkent Institute of Irrigation and Agricultural Mechanization Engineers 100000 Tashkent Uzbekistan 4Department of Power Supply and Renewable Energy Sources Tashkent Institute of Irrigation and Agricultural Mechanization Engineers 100000 Tashkent Uzbekistan 5Research Institute of Forestry 111104 Tashkent Uzbekistan 6Gulistan State University 120100 Gulistan Uzbekistan

This research is aimed at improving electric power supply reliability at major industrial plants by applying schematic design solutions. The authors analyzed the features of branch electric power distribution systems at a metallurgical plant; considered options of their revamping to improve reliability of electric power supply; carried out experimental research on splitting 110 kV meshed system at the integrated iron and steel works. When performing the research, mathematical simulation methods and full-scale experiment methods were used. Following the research, we proposed three options to revamp the power grid at the industrial plant applying schematic design solutions: Scheme A - separating substations, causing problems, in an individual block; Scheme B - separating independent 110 kV closed electric power grids; Scheme C – splitting the meshed system into two independent circuits. It is proved that the most efficient solution is Scheme C, which is characterized by a lower number of unscheduled downtimes of the facilities by mitigating the effects of faults in one of meshed systems on a continuous operation of shops powered from the neighboring grid; eliminated risks of simultaneous stops of all or the majority of metallurgical shops of the works during short circuits in 110 kV grids; and a considerable reduction in short circuit currents and active losses in 110 kV industrial grids. An aggregate benefit from the proposed measures aimed at revamping of the electrical grid of metallurgical units by applying schematic design solutions is over USD750,000/year.

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Fusion of deep shallow features and models for speaker recognition

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Chinese Journal of Acoustics 2018年第4期37卷 477-490页

作者： ZHONG Weifeng FANG Xiang FAN Cunhang WEN Zhengqi TAO Jianhua School of Automation Harbin University of Science and Technology Harbin 150080 National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing 100190 CAS Center for Excellence in Brain Science and Intelligence Technology Beijiug 100190 School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing 100190

In order to further improve the performance of speaker recognition, features fusion and models fusion are proposed. The features fusion method is to fuse deep and shallow features. The fused feature describes speaker characteristics more comprehensively than a single feature because of the complementarity between different levels of features. The models fusion method is to fuse i-vectors extracted from different speaker recognition systems. The fused model can combine advantages of different speaker recognition systems. Experimental results show the effectiveness of the proposed methods. Compared with the state-of-the-art system on CASIA North and South dialect corpus,the proposed features fusion system and models fusion system achieved about 54.8% and 69.5% relative improvement on the equal error rate（EER）,respectively.

关键词： DBF EER DNN

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An Early Stage Researcher's Primer on Systems Medicine Terminology

Network and Systems Medicine

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Network and Systems Medicine 2021年第1期4卷 2-50页

作者： Zanin, Massimiliano Aitya, Nadim A.A. Basilio, José Baumbach, Jan Benis, Arriel Behera, Chandan K. Bucholc, Magda Castiglione, Filippo Chouvarda, Ioanna Comte, Blandine Dao, Tien-Tuan Ding, Xuemei Pujos-Guillot, Estelle Filipovic, Nenad Finn, David P. Glass, David H. Harel, Nissim Iesmantas, Tomas Ivanoska, Ilinka Joshi, Alok Boudjeltia, Karim Zouaoui Kaoui, Badr Kaur, Daman Maguire, Liam P. McClean, Paula L. McCombe, Niamh De Miranda, João Luís Moisescu, Mihnea Alexandru Pappalardo, Francesco Polster, Annikka Prasad, Girijesh Rozman, Damjana Sacala, Ioan Sanchez-Bornot, Jose M. Schmid, Johannes A. Sharp, Trevor Solé-Casals, Jordi Spiwok, Vojtěch Spyrou, George M. Stalidzans, Egils Stres, Blaa Sustersic, Tijana Symeonidis, Ioannis Tieri, Paolo Todd, Stephen Van Steen, Kristel Veneva, Milena Wang, Da-Hui Wang, Haiying Wang, Hui Watterson, Steven Wong-Lin, Kongfatt Yang, Su Zou, Xin Schmidt, Harald H.H.W. Centro de Tecnología Biomédica Universidad Politécnica de Madrid Madrid Spain Intelligent Systems Research Centre School of Computing Engineering and Intelligent Systems Ulster University Ulster United Kingdom Center for Physiology and Pharmacology Institute of Vascular Biology and Thrombosis Research Medical University of Vienna Vienna Austria TUM School of Life Sciences Weihenstephan Technical University of Munich Freising Germany Holon Israel CNR National Research Council IAC Institute for Applied Computing Rome Italy Lab of Computing Medical Informatics and Biomedical Imaging Technologies School of Medicine Aristotle University of Thessaloniki Thessaloniki Greece Université Clermont Auvergne INRAE UNH Plateforme d'Exploration du Métabolisme MetaboHUB Clermont Clermont-Ferrand France Université de Technologie de Compiègne Compiègne France Labex MS2T Control of Technological Systems-of-Systems CNRS and Université de Technologie de Compiègne Compiègne France Faculty of Engineering University of Kragujevac Kragujevac Serbia Kragujevac Serbia Steinbeis Advanced Risk Technologies Institute Doo Kragujevac Kragujevac Serbia Pharmacology and Therapeutics School of Medicine Galway Neuroscience Centre National University of Ireland Galway Ireland School of Computing Ulster University Ulster United Kingdom Holon Israel Department of Mathematics and Natural Sciences Kaunas University of Technology Kaunas Lithuania Faculty of Computer Science and Engineering Ss. Cyril and Methodius University Skopje Macedonia Medicine Faculty Université Libre de Bruxelles CHU de Charleroi Charleroi Belgium Northern Ireland Centre for Stratified Medicine Biomedical Sciences Research Institute Ulster University Ulster United Kingdom Escola Superior de Tecnologia e Gestão Instituto Politécnico de Portalegre Portalegre Portugal Instituto Superior Técnico Universidade de Lisboa Lisboa Portugal Faculty of Automatic Control and Computers University Politehnica of B

Background: Systems Medicine is a novel approach to medicine, that is, an interdisciplinary field that considers the human body as a system, composed of multiple parts and of complex relationships at multiple levels, and further integrated into an environment. Exploring Systems Medicine implies understanding and combining concepts coming from diametral different fields, including medicine, biology, statistics, modeling and simulation, and data science. Such heterogeneity leads to semantic issues, which may slow down implementation and fruitful interaction between these highly diverse fields. Methods: In this review, we collect and explain more than100 terms related to Systems Medicine. These include both modeling and data science terms and basic systems medicine terms, along with some synthetic definitions, examples of applications, and lists of relevant references. Results: This glossary aims at being a first aid kit for the Systems Medicine researcher facing an unfamiliar term, where he/she can get a first understanding of them, and, more importantly, examples and references for digging into the topic. © Massimiliano Zanin et al., 2021;Published by Mary Ann Liebert, Inc. 2021.

关键词： Semantics

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Hierarchic neighbors embedding

arXiv

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arXiv 2019年

作者： Liu, Shenglan Yu, Yang Liu, Yang Qiao, Hong Feng, Lin Feng, Jiashi School of Computer Science and Technology Faculty of Electronic Information and Electrical Engineering Dalian University of Technology Dalian Liaoning116024 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China Department of Electrical and Computer Engineering National University of Singapore Singapore Singapore

Manifold learning now plays a very important role in machine learning and many relevant applications. Although its superior performance in dealing with nonlinear data distribution, data sparsity is always a thorny knot. There are few researches to well handle it in manifold learning. In this paper, we propose Hierarchic Neighbors Embedding (HNE), which enhance local connection by the hierarchic combination of neighbors. After further analyzing topological connection and reconstruction performance, three different versions of HNE are given. The experimental results show that our methods work well on both synthetic data and high-dimensional real-world tasks. HNE develops the outstanding advantages in dealing with general data. Furthermore, comparing with other popular manifold learning methods, the performance on sparse samples and weak-connected manifolds is better for HNE. Copyright © 2019, The Authors. All rights reserved.

关键词： Topology

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Monocular Dense Reconstruction by Depth Estimation Fusion

Monocular Dense Reconstruction by Depth Estimation Fusion

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第30届中国控制与决策会议

作者： Tian Chen Wendong Ding Dapeng Zhang Xilong Liu Institute of Automation Chinese Academy of Science School of Computer and Control Engineering University of Chinese Academy of Sciences

Dense and accurate reconstruction plays a fundamental role in mobile robot's environment perception and navigation. It's also necessary for obstacle avoidance and path planning of mobile robots. We propose a method to incrementally reconstruct the scene from monocular sequence by fusing the depth from geometry computation and generative adversarial networks(GAN) prediction. The depth from geometry triangulation is precise but sparse, while the depth from GAN is dense but unscaled. In this paper, we combine the advantages from two methods with a linear model optimized by graph structure. Experiments showed that our proposed method gives precise dense reconstruction in real time.

关键词： Dense reconstruction Monocular Depth estimation Depth fusion GAN

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