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Effective distributed algorithm for solving linear matrix equations

Science China(Information Sciences) 2023年第8期66卷 265-266页

作者： Songsong CHENG Jinlong LEI Xianlin ZENG Yuan FAN Yiguang HONG Anhui Engineering Laboratory of Human-Robot Integration System and Intelligent Equipment School of Electrical Engineering and Automation Anhui University Department of Control Science and Engineering Tongji University Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology

Dear editor,Solving linear matrix equations is a basic and important problem in many fields such as the computation of generalized inverses of matrices and(generalized) Sylvester equations. Also, the linear algebraic ...

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Certificated Actor-Critic: Hierarchical Reinforcement Learning with control Barrier Functions for Safe Navigation

arXiv

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arXiv 2025年

作者： Xie, Junjun Zhao, Shuhao Hu, Liang Gao, Huijun Department of Automation School of Mechanical Engineering and Automation Harbin Institute of Technology Shenzhen China Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin China

control Barrier Functions (CBFs) have emerged as a prominent approach to designing safe navigation systems of robots. Despite their popularity, current CBF-based methods exhibit some limitations: optimization-based safe control techniques tend to be either myopic or computationally intensive, and they rely on simplified system models;conversely, the learning-based methods suffer from the lack of quantitative indication in terms of navigation performance and safety. In this paper, we present a new model-free reinforcement learning algorithm called Certificated Actor-Critic (CAC), which introduces a hierarchical reinforcement learning framework and well-defined reward functions derived from CBFs. We carry out theoretical analysis and proof of our algorithm, and propose several improvements in algorithm implementation. Our analysis is validated by two simulation experiments, showing the effectiveness of our proposed CAC algorithm. Copyright © 2025, The Authors. All rights reserved.

关键词： Adversarial machine learning

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Distributed solver for linear matrix inequalities: an optimization perspective

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control Theory and Technology 2021年第4期19卷 507-515页

作者： Weijian Li Wen Deng Xianlin Zeng Yiguang Hong Department of Automation University of Science and Technology of ChinaHefei 230027AnhuiChina Key Lab of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190China Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of TechnologyBeijing 100081China Department of Control Science and Engineering Tongji UniversityShanghai 201804China

In this paper,we develop a distributed solver for a group of strict(non-strict)linear matrix inequalities over a multi-agent network,where each agent only knows one inequality,and all agents co-operate to reach a consensus solution in the intersection of all the feasible *** formulation is transformed into a distributed optimization problem by introducing slack variables and consensus ***,by the primal–dual methods,a distributed algorithm is proposed with the help of projection operators and derivative ***,the convergence of the algorithm is analyzed,followed by illustrative simulations.

关键词： Distributed computation Distributed optimization Linear matrix inequalities Primal-dual method

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Flower Detection and Counting Using CNN for Thinning Decisions in Apple Trees 8

Flower Detection and Counting Using CNN for Thinning Decisio...

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8th International Conference on Digital Technologies in Education, Science and Industry, DTESI 2023

作者： Kiktev, Nikolay Kutyrev, Alexey Taras Shevchenko National University of Kyiv Department of Intelligent Technologies Kyiv01601 Ukraine National University of Life and Environmental Sciences of Ukraine Department of Automation and Robotic Systems Kyiv03041 Ukraine Federal Scientific Agroengineering Center VIM Department of Technologies and Machines for Horticulture Viticulture and Nursery Moscow109428 Russia

The article presents a system for monitoring apple trees in orchards during the flowering period. To control the technological operation of thinning trees during the flowering period, monitoring of this operation is necessary to select the most effective method and assess the quality of its implementation. The purpose of the study is to develop a method for monitoring apple blossoms on the tree crown based on machine learning algorithms to control the quality of the technological operation of thinning apple blossoms. A deep-learning neural network has been developed to recognize apple flowers and buds on received camera frames. The analysis of the results indicated that the YOLOv8 model categorized the "rosebud" class with an mAP (mean Average Precision) metric of 0.448, and the "Flowering" class with an mAP metric of 0.691. © 2023 Copyright for this paper by its authors.

关键词： Deep learning

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Neural Network Concept of Ukrainian-Language Text Embedding 13

Neural Network Concept of Ukrainian-Language Text Embedding

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13th International Conference on Advanced Computer Information Technologies, ACIT 2023

作者： Bisikalo, Oleg Kovtun, Oksana Kovtun, Viacheslav Vinnytsia National Technical University Department of Automation and Intelligent Information Technologies Vinnytsia Ukraine Vasyl' Stus Donetsk National University Department of Theory and Practice of Translation Vinnytsia Ukraine Vinnytsia National Technical University Department of Computer Control Systems Vinnytsia Ukraine

The main contribution of the research is the neural network concept of Ukrainian-language text embedding with a two-level architecture. Basic embedding is implemented based on main lexical structures (Noun-Verb, Noun-Adjective, Verb-Adverb). To preserve the semantic component of complex, long sentences characteristic of the Ukrainian language, the post-embedding procedure is analytically defined. Both levels of the concept are implemented as autoencoder-type neural networks with appropriate topologies. To evaluate the complexity of the proposed conglomerate training process, a generalized loss function was formalized. Testing of the proposed concept in comparison with classic (BOW, Word2Vec) and progressive (MCB BERT) analogues showed that the author's solution prevails over the former and lags behind the latter in the selected quality metric. © 2023 IEEE.

关键词： Embeddings

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Exponentially convergent distributed Nash equilibrium seeking for constrained aggregative games

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Autonomous intelligent systems 2022年第1期2卷 71-78页

作者： Shu Liang Peng Yi Yiguang Hong Kaixiang Peng Department of Control Science&Engineering Tongji UniversityShanghai200092China Shanghai Research Institute for Intelligent Autonomous Systems Shanghai201210China School of Automation and Electrical Engineering University of Science and Technology BeijingBeijing100083China

Distributed Nash equilibrium seeking of aggregative games is investigated and a continuous-time algorithm is *** algorithm is designed by virtue of projected gradient play dynamics and aggregation tracking dynamics,and is applicable to games with constrained strategy sets and weight-balanced communication *** key feature of our method is that the proposed projected dynamics achieves exponential convergence,whereas such convergence results are only obtained for non-projected dynamics in existing works on distributed optimization and equilibrium *** examples illustrate the effectiveness of our methods.

关键词： Distributed algorithms Aggregative games Projected gradient play Weight-balanced graph Exponential convergence

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A Sparse Quadratic Programming Approach to Supervisory control of Multi-Zone HVAC systems with Consideration of Peak Demand Shaving and Thermal Comfort

A Sparse Quadratic Programming Approach to Supervisory Contr...

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International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON

作者： Pasitnat Sasananand David Banjerdpongchai Department of Electrical Engineering Faculty of Engineering Center of Excellence in Intelligent Control Automation for Process Systems Chulalongkorn University Bangkok Thailand

ISBN: (数字)9798350381559

ISBN: (纸本)9798350381566

The HVAC system is one of the major power consuming equipment in buildings. Considering the effective setpoint temperature of each zone can increase efficiency in managing power usage in buildings, leading to the operating cost reduction. This paper presents the design of supervisory control (SC) for multi-zone HVAC systems that aims to minimize the total operating cost (TOC) and the thermal comfort cost (TCC). To minimize the TOC and TCC, both objectives are normalized and combined as a quadratic programming (QP) problem which can be efficiently solved. To achieve the design objective, two methods of SC are developed for multi-zone, namely, centralized SC and decentralized SC. We apply standard QP and sparse QP solvers using interior point method. The numerical results reveal that centralized SC performs better according to a tradeoff curve which TOC and TCC are lower. While both solvers give the same results, sparse solver can provide the solutions faster than interior point method. This paper demonstrates that centralized control is appropriate for implementation in multi-zones buildings and the sparse solver proves to be more suitable in the context of sparse QP problem.

关键词： HVAC Costs Buildings Supervisory control Telecommunications Quadratic programming Sparse matrices

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Parametric Geoinformational Models

Parametric Geoinformational Models

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International Conference on Soft Computing and Measurements (SCM)

作者： Galina V. Verkhova Sergej V. Akimov Department of Intelligent Automation and Control Systems The Bonch-Bruevich Saint Petersburg State University of Telecommunications (SPbSUT) Saint-Petersburg Russia

ISBN: (数字)9798350363708

ISBN: (纸本)9798350363715

A methodology for parametric multi-aspect models of spatially distributed objects is presented. The proposed models make it possible to present attribute information of hierarchical spatially distributed objects and geosystems, taking into account the relationships between hierarchy levels, as well as the values of expert parameters and parameters obtained as a result of monitoring. Another important feature of parametric geographic information models is their support for generalization and the ability to use them to create multi-scale objects.

关键词： Computational modeling Time measurement Monitoring Geographic information systems

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Methods of Reducing the Energy Consumption of Digital-Analog Converters and Increasing Their Metrological Reliability 17

Methods of Reducing the Energy Consumption of Digital-Analog...

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17th IEEE International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering, TCSET 2024

作者： Zastavnyy, Oleg Kochan, Orest Bykovyy, Pavlo Sachenko, Anatoliy Kochan, Roman Kochan, Volodymyr West Ukrainian National University Department of Specialized Computer Systems Termopil Ukraine Lviv Polytechnic National University Department of Information and Measurement Technologies Automation and Metrology Lviv Ukraine West Ukrainian National University Department of Information Computer Systems and Control Termopil Ukraine Research Institute for Intelligent Computer Systems West Ukrainian National University Termopil Ukraine Kazimierz Pulaski University of Radom Department of Teleinformatics Radom Poland Lviv Polytechnic National University Department of Specialized Computer Systems Lviv Ukraine

ISBN: (纸本)9798331520564

This work analyzes the possibility of reducing the energy consumption of digital-to-analog converters by minimizing the energy consumption of the elements that ensure their operation. Due to the fact that such decisions can lead to an increase in the temperature and time drift of the output voltage of the digital-to-analog converter, a method of its in-situ calibration during operation is proposed. The method also allows carrying out calibration of high-speed analog-digital converters. © 2024 IEEE.

关键词： Voltage-source converters

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On Adaptation of Third Kind Boundary Conditions for Grid Models of Nonstationary Heat Exchange

On Adaptation of Third Kind Boundary Conditions for Grid Mod...

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2022 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2022

作者： Zhukov, Petr Glushchenko, Anton Fomin, Andrey Nust 'MISIS' Automation and Information Control Systems Department Stary Oskol Russia Laboratory 7 V.A. Trapeznikov Institute of Control Sciences Russian Academy of Sciences Moscow Russia

ISBN: (纸本)9781665483698

The non-stationary heat exchange (heating) process is a typical kind of technological operation in metallurgy. The most common technological units for such operation are continuous heating furnaces, in which steel billets are heated in the course of their movement through the furnace. The billets have different inner chemical structures and physical characteristics, so different values of heating parameters are needed (heating time, setpoint temperature, etc.). Usually, to find such optimal values, a model of transient heat conduction is used. The general problem of such models is the necessity to adapt them to the thermophysical parameters of each certain steel grade being heated inside the furnace. Usually adaptation processes is to find the dependence between the final billet temperature and the steel density, thermal capacity, and thermal conductivity. But, in addition to these independent variables, considering the non-stationarity of the heating processes, not only should the inner structure of the billets be taken into account, but also the heating environment parameters too. Adaptation to them is the scope of this research and closely related to the third kind boundary condition of nonstationary heat exchange. Generally, it means to find the value of the heat transfer coefficient, which is also non-stationary and depends on the temperatures of the heated material and heating medium. The result of the study is an approach based on the Nusselt number and the criterion equation, which allows to reduce the average error of the billets temperature prediction by 9.7 degrees Celsius. © 2022 IEEE.

关键词： Boundary conditions

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