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IEEE International Conference on Cyber technology in Automation, control, and Intelligent Systems

作者： Yi Chen Xiao Sun Song Zheng Weibing Huang Sheng Zeng Dan Chen Zhezhuang Xu Education Department of Fujian Province Key Laboratory of Industrial Automation Control Technology and Information Processing College of Electrical Engineering and Automation Fuzhou University Fuzhou China Evomotion Co. Ltd. Guangdong Shenzhen China

Reinforcement Learning (RL) has been applied to robotic arm control, which enables the agent to learn an effective policy to solve complex tasks. However, it requires constant interaction with the environment leading to low sample efficiency. In this paper, we propose a robotic arm control approach based on planning via lookahead search, which is a model-based RL algorithm to improve the sample efficiency. The approach builds an environment model in order to obtain the dynamics of the environment. Thus the model can be used to plan future actions by a tree-based search. The experiments show that our approach can solve the task of robotic arm control with less environmental samples.

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Uniaxial Stress-Strain Relationship and Thermal Properties of Concrete with Fine Recycled Aggregate Under Elevated Temperatures

SSRN

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SSRN 2022年

作者： Zhang, Huan Zhao, Hui Liu, Faqi Yang, Hua Pan, Kainan Key Lab of Structures Dynamic Behaviour and Control of The Ministry of Education Harbin Institute of Technology Harbin150090 China Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters The Ministry of Industry and Information Technology Harbin Institute of Technology Harbin150090 China Department of Civil Engineering Tianjin University Tianjin30072 China College of Civil Engineering Taiyuan University of Technology Taiyuan030024 China School of Engineering Harbin Institute of Technology Harbin150090 China

The models for the stress-strain relationship under elevated temperatures and thermal properties of recycled aggregate concrete (RAC) are essential in the fire resistance design of RAC structures, while no such models are available for RAC made with fine recycled aggregate (FRA). To establish the above models, 33 RAC prisms with three FRA replacement levels (0%, 50%, and 100%) under five temperatures (20 °C, 200 °C, 400 °C, 600 °C, and 800 °C) were tested for the uniaxial compressive stress-strain relationship;Meanwhile, thermal properties (including the specific heat, thermal conductivity, and thermal expansion) of these concrete mixes under a temperature range of 20-800 °C were also tested. A prediction model for the stress-strain relationship under elevated temperatures was proposed by extending the model for RAC under normal temperatures. Based on the test data, models for the thermal properties of RAC with FRA were also established. Results showed that the FRA does not change the shear failure mode of concrete, and its influence on the stress-strain relationship is independent of temperature;the specific heat increases while the thermal conductivity decreases with the FRA replacement ratio;the thermal expansion of concrete under temperature higher than 500 °C decreases with FRA;the proposed models have a good prediction for the stress-strain relationship and thermal properties of RAC. © 2022, The Authors. All rights reserved.

关键词： Stress-strain curves

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H∞ fuzzy filtering for discrete-time fuzzy stochastic systems with time-varying delay

H∞ fuzzy filtering for discrete-time fuzzy stochastic syste...

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Chinese control Conference (CCC)

作者： Huaicheng Yan Hao Zhang Hongbo Shi Max Q.-H. Meng School of Information Science and Engineering East China University of Science and Technology Shanghai P. R. China Department of Control Science and Engineering Tongji University Shanghai P. R. China Department of Electronic Engineering The Chinese University of Hong Kong Hong Kong P. R. China

This paper is concerned with the problem of H ∞ filtering for discrete-time Takagi-Sugeno (T-S) fuzzy Itô stochastic systems with time-varying delay. Attention is focused on the design of a fuzzy-rule-dependent H ∞ filter such that the filter error system is mean-square asymptotically stable and preserves a prescribed noise attenuation level in the H ∞ sense. Delay-dependent criterion is established for the filter error system without ignoring any useful terms in the derivative of Lyapunov functional, which is dependent on the lower and upper delay bounds. The developed theoretical results are expressed in terms of linear matrix inequalities (LMIs) and can be obtained from the solution of a convex optimization problem. An illustrative numerical example is provided to demonstrate the effectiveness of the proposed method.

关键词： Filtering Stochastic systems Delay Linear matrix inequalities Fuzzy systems Time varying systems Stochastic processes

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Sliding mode control for time-delay system using a virtual state

Sliding mode control for time-delay system using a virtual s...

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American control Conference (ACC)

作者： Young Sam Song Sung-Ha Kwon Seung Kyu Park Do-Chang Oh Eun Tae Jeung Department of Control and Instrumentation Engineering Changwon NatE28099l University Kyongnam South Korea School of Mechatronics Engineering Changwon NatE28099l University South Korea Electronic Information Technology and Computer Science Konyang University South Korea

ISBN: (纸本)0780364953

This paper presents a sliding mode control (SMC) design method for single input linear systems with uncertainties and time delay in the state. We define a sliding surface for the augmented system with a virtual state which is defined from the nominal system. We make a virtual state from LQR (linear quadratic regulator) gain and the states of the nominal system. We construct a controller that combines SMC with LQR controller. The proposed sliding mode controller guarantees the stability of the overall closed-loop system.

关键词： Sliding mode control control systems Uncertainty Delay effects Optimal control Delay systems Robust control Design methodology State feedback Instruments

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Domain-invariant Prototypes for Semantic Segmentation

arXiv

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arXiv 2022年

作者： Yang, Zhengeng Yu, Hongshan Sun, Wei Li-Cheng Mian, Ajmal The National Engineering Laboratory for Robot Visual Perception and Control Technology College of Electrical and Information Engineering Hunan University Lushan South Rd. Yuelu410082 China The Department of Electrical and Computer Engineering University of Alberta EdmontonAB Canada The Department of Computer Science The University of Western Australia PerthWA6009 Australia

Deep Learning has greatly advanced the performance of semantic segmentation, however, its success relies on the availability of large amounts of annotated data for training. Hence, many efforts have been devoted to domain adaptive semantic segmentation that focuses on transferring semantic knowledge from a labeled source domain to an unlabeled target domain. Existing self-training methods typically require multiple rounds of training, while another popular framework based on adversarial training is known to be sensitive to hyper-parameters. In this paper, we present an easy-to-train framework that learns domain-invariant prototypes for domain adaptive semantic segmentation. In particular, we show that domain adaptation shares a common character with few-shot learning in that both aim to recognize some types of unseen data with knowledge learned from large amounts of seen data. Thus, we propose a unified framework for domain adaptation and few-shot learning. The core idea is to use the class prototypes extracted from few-shot annotated target images to classify pixels of both source images and target images. Our method involves only one-stage training and does not need to be trained on large-scale un-annotated target images. Moreover, our method can be extended to variants of both domain adaptation and few-shot learning. Experiments on adapting GTA5-to-Cityscapes and SYNTHIA-to-Cityscapes show that our method achieves competitive performance to state-of-the-art. Copyright © 2022, The Authors. All rights reserved.

关键词： Semantic Segmentation

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Study on Modelling of a DC Coaxial Motor in Marine Applications

Study on Modelling of a DC Coaxial Motor in Marine Applicati...

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International Conference on System Science and engineering (ICSSE)

作者： Nguyen Duc Thinh Duong Ngoc Quan Nguyen Tan Tien Do Xuan Phu Department of Electrical Engineering and Information Technology Vietnamese-German University Binh Duong Vietnam Institute of Engineering HUTECH University of Technology Ho Chi Minh city Vietnam National Key Laboratory of Digital Control and System Engineering Ho Chi Minh University of Technology Ho Chi Minh city Vietnam MediRobotic Lab. Vietnamese-German University Binh Duong Vietnam

The main goal of this paper studies modeling of a direct current coaxial motor (DCCM) and testing the main parameters of DCCM on the experimental model. The DCCM contains two rotors named inner runner and outer runner. The inner runner and the outer runner rotate in opposite directions to each other. The shaft of the inner runner and the shaft of the outer runner are coincident and inserted on two separate bearings. To prove this idea, the mathematic model is achieved by a combination of a mathematic model of DC motor and mathematic model of single phase coaxial motor. Simulation result of the mathematic model in Matlab shows the truth of the hypothesis of the design. The result of testing DCCM of the experimental model is fit to the result of simulation of DCCM in Matlab. Consequently, the DCCM can substitute for other kinds of propellers especially in marine applications.

关键词： DC motors Mathematical model Shafts Torque measurement Induction motors Torque

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Almost-exact state transfer by leakage-elimination-operator control in a non-Markovian environment

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Physical Review A 2020年第4期102卷 042406-042406页

作者： Zhao-Ming Wang Feng-Hua Ren Da-Wei Luo Zhan-Yuan Yan Lian-Ao Wu Department of Physics Ocean University of China Qingdao 266100 China Ikerbasque Basque Foundation for Science 48011 Bilbao and Department of Theoretical Physics and History of Science The Basque Country University (EHU/UPV) PO Box 644 48080 Bilbao Spain College of Information and Control Engineering Qingdao Technology University Qingdao 266520 China Center for Quantum Science and Engineering and Department of Physics Stevens Institute of Technology Hoboken New Jersey 07030 USA Department of Mathematics and Physics North China Electric Power University Baoding 071003 China

We investigate the feasibility of using an effective pulse control method to realize an almost exact state transmission through a uniform chain where the communication channel is immersed in a quantum environment. This pulse control is treated in a nonperturbative fashion, allowing for a more precise view. Using the non-Markovian quantum state diffusion equation, we calculate the dynamics of the transmission fidelity. The results show that the memory effects of the environment can support an effective transmission control that can be boosted under a non-Markovian environment. Our scheme provides another way to realize almost exact state transmission in a spin chain system.

关键词： Open quantum systems & decoherence Quantum control Quantum state transfer Quantum spin chains

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Frequency Domain Separation of DAS Multi-Source Aliased Signals

Frequency Domain Separation of DAS Multi-Source Aliased Sign...

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Asia Communications and Photonics Conference and Exhibition (ACP)

作者： Huaxin Gu Shuaiqi Liu Feihong Yu Deyu Xu Xingwei Chen Liyang Shao Yu Wu Haifeng Zhang College of Innovation and Entrepreneurship Southern University of Science and Technology Shenzhen China Department of Electrical and Electronic Engineering Southern University of Science and Technology Shenzhen China School of Information and Communication Engineering University of Electronic Science and Technology Chengdu China Advanced Measurement and Control and Equipment R&D Center Research Institute of Tsinghua University Chengdu China

In this paper, fast independent vector analysis (FastIVA) based on convolutional aliasing model is proposed to separate the aliased signals collected by distributed acoustic sensing (DAS) system, and the time-frequency entropy is used to judge the separation performance. The results show that the time-frequency entropy interval of the separated signals and the source signals correspond to each other, which means that the aliased signals are separated. This method is used to improve the accuracy of DAS system signal detection and recognition in complex real environment, and reduce the number of false alarm events.

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A comparison of stochastic and adaptation programming methods for long term generation and transmission co-optimization under uncertainty

A comparison of stochastic and adaptation programming method...

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Annual North-American Power Symposium

作者： Patrick Maloney Oluwaseyi Olatujoye Ali Jahanbani Ardakani Diego Mejïa-Giraldo James McCalley Universidad del Valle Grupo de Investigación en Control Industrial Cali Colombia Department of Electrical Engineering Kasetsart University Bangkok Thailand School of Information Computer and Communication Technology Sirindhorn International Institute of Technology Thammasat University Pathum Thani Thailand

In this work a recently developed mathematical programming formulation called adaptation is compared with the widely used stochastic programming method in the context of electric infrastructure expansion planning. Although the structure of the adaptation method closely resembles that of a generic stochastic program it diverges from the temporal conventions of traditional electric infrastructure formulations. While traditional stochastic programming formulations restrict first and later stage capacity investments to separate time periods, the first and later stage capacity investments in adaptation overlap in time. Additionally, recourse decisions for all scenarios are defined relative to the central core trajectory in the same time period rather than the node at the previous time period in the stochastic programming scenario tree. After an in-depth discussion of stochastic programming and adaptations' formulations, a six bus simulation is provided to facilitate a more concrete comparison of the two methods. Uncertainties considered in the simulation include, wind and solar build costs, carbon taxes, demand and peak demand growth, natural gas fuel prices, and transmission costs.

关键词： Investment Programming Stochastic processes Planning Uncertainty Linear programming Adaptation models

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A hybrid algorithm based on teaching-learning-based optimization and newton method for solving nonlinear equations

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ICIC Express Letters 2016年第1期10卷 103-109页

作者： Li, Xia Niu, Peifeng Zhao, Litong Li, Guoqiang Liu, Jianping Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University No. 438 West Hebei Avenue Qinhuangdao China Department of Mathematics and Information Science Hebei Normal University of Science and Technology No. 360 West Hebei Avenue Qinhuangdao China

Solving nonlinear equations is an important problem in engineering eld. Therefore, the study of ecient algorithm is of great signicance. Teaching-LearningBased Optimization (TLBO) has the advantages of simple algorithm, less parameters, strong global convergence ability and insensitivity to initial point, but it is weak at local optimization and slow later convergence. On the other hand, Newton method has the advantage of local deep search and fast convergence rate, but it is sensitive to the initial point. Therefore, considering advantages and disadvantages of two methods above, this paper proposes a hybrid algorithm (TNHA) based on the TLBO and Newton method for solving nonlinear equations. The hybrid algorithm both combines all these merits of the TLBO and Newton method but does not have the defects. Finally, numerical examples verify the eciency of the TNHA. © 2016 ICIC International.

关键词： Newton-Raphson method

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