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Transition System Representation of Boolean control Networks

无人系统（英文） 2024年第2期12卷 239-247页

作者： Daizhan Cheng Xiao Zhang Zhengping Ji Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190P.R.China Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190P.R.China National Center for Mathematics and Interdisciplinary Sciences Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190P.R.China Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190P.R.China School of Mathematical Sciences University of Chinese Academy of SciencesBeijing 100190P.R.China

In this paper,we propose a transition system(TS)framework for the analysis and design of logical *** formula for calculating the fixed points and cycles of a TS is first ***,the TS representation of Boolean networks(BNs)and Boolean control networks(BCNs)is *** first kind of representation is state-based,which converts a BCN into a TS with either distinguished controls or undistinguished *** second representation is output-based,which is also called the simulation of the original ***,after introducing the notion of output simulation,our method is applied to design output robust controls of logical networks.

关键词： Transition system Boolean control network semi-tensor product of matrices

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Parametric Identification of External Disturbances in the Problem of Indoor Microclimate control 16

Parametric Identification of External Disturbances in the Pr...

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16th International Conference Management of Large-Scale System Development, MLSD 2023

作者： Rassadin, Yury Pashchenko, Alexander V.A. Trapeznikov Institute of Control Sciences of Ras Laboratory of Discontinuous Control Systems Moscow Russia V.A. Trapeznikov Institute of Control Sciences of Ras Laboratory of Intelligent Control Sysytems and Simulation Moscow Russia

ISBN: (纸本)9798350337907

An experimental approach to parametric identification of microclimate dynamics and models of external uncontrollable disturbances for a building microclimate control system is discussed. Data from the weather station and four microclimate sensors in two neighbouring identical rooms were analysed;sunlight access to one of them was significantly constrained. A predictive model of the room microclimate was designed, involving the factors of outdoor temperature and sunlight. © 2023 IEEE.

关键词： Parameter estimation

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control Aspects in Programming by Demonstation for Robotic Deep- Micro- Hole Drilling 32

Control Aspects in Programming by Demonstation for Robotic D...

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32nd Mediterranean Conference on control and Automation, MED 2024

作者： Maric, Bruno Petric, Frano Orsag, Matko University of Zagreb LARICS Laboratory for Robotics and Intelligent Control Systems Faculty of Electrical Engineering and Computing Zagreb10000 Croatia

ISBN: (纸本)9798350395440

This paper explores control aspects in a collab-orative robotic system designed to replicate human operators' drilling skills in deep- micro- hole tasks, focusing on the glass-container mould industry. To replicate human performance, we develop a single-DOF Impedance-based drill controller for a standard industrial position-controlled robot, enhancing safe and smooth interactions between the drill bit and the mould. To address high feed rates observed in worker demonstrations and prevent bit breaks, we focus on minimizing non-axial motion during drilling on an off-the-shelf available industrial manipulator KUKA KR 10. This involves analyzing the impact of joint dynamics on drill motion and designing a control system for the robot's low-level control to achieve axial drill motion. We show that the proposed joint control system that takes into account relationship between joint and tool dynamics outperforms available robot low-level control in minimizing non-axial motion, leading to the robot being able to outperform the human in deep- micro- hole drilling. © 2024 IEEE.

关键词： Molds

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Seek-and-Take Games of Heterogeneous Agent Teams With Large Language Model

Seek-and-Take Games of Heterogeneous Agent Teams With Large ...

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2024 China Automation Congress, CAC 2024

作者： Li, Haolin Yi, Peng Wei, Dixiao Bai, Wenyan The Department of Control Science and Engineering Tongji University Shanghai201804 China Shanghai Research Institute for Intelligent Autonomous Systems Tongji University Shanghai201203 China National Key Laboratory of Autonomous Intelligent Unmanned Systems Frontiers Science Center for Intelligent Autonomous Systems Ministry of Education China Beijing Aerospace Automatic Control Institute Beijing100854 China

ISBN: (纸本)9798350368604

The problem of confrontation games between multi-agent teams has attracted considerable interest, and the question of how to ensure effective coordination of heterogeneous agents in dynamic and adversarial environments remains a significant challenge. In this paper, we present a decision-making methodology for a confrontation game between two teams, which is based on large language models (LLMs). The game is designed as a competitive Seek-and-Take task comprising three distinct robot types: reconnaissance, grabbing, and blocking robots. The LLMs enhance the robot team’s decision-making efficiency, delivering high-level commands that significantly improve coordination and adversarial performance. The game is initially formalized as a partially observable Markov decision process. Subsequently, a systematic construction of the LLM agents is provided, enabling real-time decisions based on the state information of a heterogeneous robot team (HRT). Detailed prompt design and the "Zero-shot-CoT" procedure are provided, and a cue word iteration method with reflections is proposed as a means of enhancing the decision-making efficiency of the LLMs and generating optimal collaboration strategies. Finally, the efficacy of the methodology is validated through experimentation with multiple LLMs in a multi-robot simulation environment. The results demonstrate that LLMs improve the efficiency and adaptability of decision-making in dynamic environments by serving as a core decision module, generating optimal strategies through real-time analysis. © 2024 IEEE.

关键词： Efficiency

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Operation State Monitoring of Wastewater Treatment Process Based on LSTM Network of Fusion Attention Mechanism 6

Operation State Monitoring of Wastewater Treatment Process B...

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6th IEEE International Conference on Power, intelligent Computing and systems, ICPICS 2024

作者： Xing, Yonghao Du, Shuxin Qiu, Yi Xu, Hongyi Guo, Xiaorui School of Engineering Huzhou University Huzhou Key Laboratory of Intelligent Sensing and Optimal Control for Industrial Systems Huzhou China

ISBN: (纸本)9798350374315

In this paper, an LSTM neural network model based on fusion attention mechanism is proposed to classify the operational state of wastewater treatment process. The model combines the attention mechanism to effectively capture the changes and effects of key parameters in the wastewater treatment process. Through deep learning method, the model is built in Python language, and the actual test data is used for verification and comparative analysis, which verifies the accuracy and effectiveness of the model. The experimental results show that the model has significant advantages in improving the prediction classification accuracy and monitoring the running state of the sewage treatment process, and provides an effective method for the intelligent monitoring and management of the sewage treatment process. © 2024 IEEE.

关键词： Long short-term memory

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Trajectory Planning Based on Spatio-Temporal Map with Collision Avoidance Guaranteed by Safety Strip

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IEEE Transactions on intelligent Transportation systems 2022年第2期23卷 1030-1043页

作者： Zhang, Ting Fu, Mengyin Song, Wenjie Yang, Yi Wang, Meiling State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing China

Trajectory planning for the unmanned vehicle in the complex environment has always been a challenging task. Planned trajectory with the corresponding target velocity or acceleration sequence must be collision-free guaranteed and as comfortable as possible on the premise of obeying the traffic rules and interaction with other dynamic social vehicles. To meet this requirement, this paper proposes a framework for trajectory planning based on spatio-Temporal map. Due to the time layer architecture in the map, the trajectory can be generated with velocity and acceleration simultaneously, and the whole trajectory is constrained within a 'safety strip', resulting in an efficient and safety guaranteed trajectory. The framework is composed of three sections: rough search, fine optimization and safety strip-based collision avoidance. For rough search, we propose an improved A∗ algorithm implemented in the discrete time layer to find out the suboptimal states efficiently. In fine optimization, the B-spline curve is exploited to connect the searched states into a continuous trajectory. And the optimal control points of B-spline are further grouped into several segments, forming the safety strip which is actually the distribution space of the planned trajectory. If necessary, an adjustment will be applied to keep the strip away from the collision zone, making the entire trajectory completely collision-free. Experiments on both public dataset and self-driving simulator show that the proposed framework can adapt to different kinds of complex traffic scenes well. © 2000-2011 IEEE.

关键词： Collision avoidance

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Geographically and Temporally Weighted Regression in Assessing Dengue Fever Spread Factors in Yunnan Border Regions

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Biomedical and Environmental Sciences 2024年第5期37卷 511-520页

作者： ZHU Xiao Xiang WANG Song Wang LI Yan Fei ZHANG Ye Wu SU Xue Mei ZHAO Xiao Tao National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases Chinese Center for Disease Control and PreventionBeijing 102211China Yunnan Institute of Parasitic Diseases Pu’er 665000YunnanChina

Objective This study employs the Geographically and Temporally Weighted Regression(GTWR)model to assess the impact of meteorological elements and imported cases on dengue fever outbreaks,emphasizing the spatial-temporal variability of these factors in border *** We conducted a descriptive analysis of dengue fever’s temporal-spatial distribution in Yunnan border *** annual data from 2013 to 2019,with each county in the Yunnan border serving as a spatial unit,we constructed a GTWR model to investigate the determinants of dengue fever and their spatio-temporal heterogeneity in this *** The GTWR model,proving more effective than Ordinary Least Squares(OLS)analysis,identified significant spatial and temporal heterogeneity in factors influencing dengue fever’s spread along the Yunnan ***,the GTWR model revealed a substantial variation in the relationship between indigenous dengue fever incidence,meteorological variables,and imported cases across different *** In the Yunnan border areas,local dengue incidence is affected by temperature,humidity,precipitation,wind speed,and imported cases,with these factors’influence exhibiting notable spatial and temporal variation.

关键词： Dengue fever Meteorological factor Geographically and temporally weighted regression

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Multi-Level Robotic Pouring Using Offline Reinforcement Learning

Multi-Level Robotic Pouring Using Offline Reinforcement Lear...

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2024 IEEE International Conference on Robotics and Biomimetics, ROBIO 2024

作者： Zhang, Xiaoxiong Liu, Junwei Zhang, Wei School of System Design and Intelligent Manufacturing Southern University of Science and Technology Shenzhen Key Laboratory of Control Theory and Intelligent Systems Shenzhen518055 China

ISBN: (纸本)9781665481090

This paper presents a novel learning-based method for a robotic manipulator to achieve liquid pouring across different liquid levels using only visual sensors. Previous works have relied on either online reinforcement learning or imitation learning, which are limited by sim-to-real gaps or data efficiency. In this paper, we propose to combine supervised learning and offline reinforcement learning, utilizing a human demonstration dataset containing only successful pouring at the highest level. Specifically, our approach employs supervised learning for a visual classifier, transforming the visual input into a categorical distribution over liquid levels. The offline reinforcement learning method is applied to a binary-conditioned control policy, which takes a binary signal and the robot's proprioception as inputs to determine the action. The binary signal indicates whether the desired liquid level has been reached based on the target liquid level. Through experiments, our method demonstrates superior effectiveness compared to a state-of-the-art imitation learning algorithm. Moreover, tests in unseen scenarios and multiple liquid level commands verify the generalization and transferability of our approach. © 2024 IEEE.

关键词： Self-supervised learning

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Active Magnetic Compensation Based on Parametric Resonance Magnetometer

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Journal of Shanghai Jiaotong university(Science) 2024年第2期29卷 280-289页

作者：郭阳李绍良黄艺明骆曼箬刘华 School of Electronic Information and Electrical Engineering Shanghai Jiao Tong UniversityShanghai 200240China Shanghai Institute of Spacefight Control Technology Shanghai Key Laboratory of Space Intelligent Control TechnologyShanghai Engineer Research Center of InertiaShanghai 201109China

Based on the parametric resonance magnetometer(PRM)theory,this paper establishes an experimen-tal system of *** experimental results are consistent with the theoretical predictions.A PRM has been developed with sensitivity of 0.5 pT/Hz^(1/2),which can detect the magnitude of residual magnetic field;furthermore,a proportion-integration-differentiation(PID)closed-loop magnetic compensation system of the residual magnetic field also has been *** with open-loop compensation,the PID closed-loop compensation reduces the average value of the residual magnetic field in the z-axis direction from 0.0244nT to-0.0023nT,and the mean-square error from 0.2083 nT to 0.0691 *** the same way,the average value of the residual magnetic field in the y-axis direction is reduced from 0.0816nT to-0.0042nT,and the mean-square error from 0.1316nT to 0.0461 *** magnitude of residual magnetic fields in both directions is decreased to the order of picotesla(pT).In addition,based on the signal waveforms of the magnetometer,a method of verifying the effect of magnetic compensation is proposed.

关键词： magnetometer parametric resonance nuclear magnetic resonance gyroscope magnetic compensa-tion proportion-integration-differentiation(PID)

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Epidemiological Characterization of Dengue Fever—Yunnan Province,China,2010-2021

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China CDC weekly 2024年第20期6卷 457-462,I0002-I0007页

作者： Xiaoxiang Zhu Songwang Wang Yanfei Li Yu Cao Xuemei Su Xiaotao Zhao National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases Chinese Center for Disease Control and PreventionBeijingChina Yunnan Institute of Parasitic Diseases Pu’er CityYunnan ProvinceChina

Objective:The goal of this study is to analyze the epidemiological patterns of dengue fever across different districts and counties in Yunnan Province from 2010 to ***:In this study,we employed joinpoint regression analysis,spatial autocorrelation analysis,and space-time scan analysis to illustrate the spatiotemporal propagation and demographic influence of dengue fever,using both graphical and tabular presentations to clearly demonstrate the ***:Yunnan Province reported 14,098 cases of dengue fever during the period from 2010 to *** these,11,513 cases were caused by local transmission,2,566 were imported internationally,and 19 were inter-provincial *** trends emerged,revealing a surge in incidences during the summer and autumn *** sex ratio of male to female cases was 1:0.88,with a significant majority of 82.00%of cases involving individuals belonging to the age group of *** service workers constituted the most impacted occupational group,forming 20.96%of total cases.A spatio-temporal scan identified significant clustering of dengue fever cases across space and time,with the most pronounced cluster observed in southern Yunnan,primarily between 2015 and ***:Dengue fever in Yunnan Province manifests as biennial outbreaks,underscoring the necessity for increased surveillance,particularly in counties bordering other regions.

关键词： counties district revealing

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