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Insights into Nano-and Micro-Structured Scaffolds for Advanced Electrochemical Energy Storage

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Nano-Micro Letters 2024年第7期16卷 187-230页

作者： Jiajia Qiu Yu Duan shaoyuan li Huaping Zhao Wenhui Ma Weidong Shi Yong Lei Fachgebiet Angewandte Nanophysik Institut Für Physik and IMN MacroNanoTechnische Universit.t Ilmenau98693 IlmenauGermany Key Laboratory of Complex Nonferrous Metal Resources Clean Utilization Faculty of Metallurgical and Energy EngineeringKunming University of Science and TechnologyKunming 650093People’s Republic of China School of Chemistry and Chemical Engineering Jiangsu UniversityZhenjiang 212013People’s Republic of China School of Science and Technology Pu’er UniversityPu’er 665000People’s Republic of China

Adopting a nano-and micro-structuring approach to fully unleashing the genuine potential of electrode active material benefits in-depth understandings and research progress toward higher energy density electrochemical energy stor-age devices at all technology readiness *** to various challenging issues,especially limited stability,nano-and micro-structured(NMS)electrodes undergo fast electrochemical performance *** emerging NMS scaffold design is a pivotal aspect of many electrodes as it endows them with both robustness and electrochemical performance enhancement,even though it only occupies comple-mentary and facilitating components for the main ***,extensive efforts are urgently needed toward optimizing the stereoscopic geometrical design of NMS scaffolds to minimize the volume ratio and maximize their functionality to fulfill the ever-increasing dependency and desire for energy power source *** review will aim at highlighting these NMS scaffold design strategies,summariz-ing their corresponding strengths and challenges,and thereby outlining the potential solutions to resolve these challenges,design principles,and key perspectives for future research in this ***,this review will be one of the earliest reviews from this viewpoint.

关键词： Nano-and micro-structured Interconnected porous Scaffolds Electrode design Electrochemical energy storage

Reachability-based controller design for multi-agent persistent monitoring with signal temporal logic constraints

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Reachability-based controller design for multi-agent persist...

Modeling and Analysis of Flexible Manufacturing Systems Based on linear Temporal Logic

第35届中国过程控制会议

作者： Xiaohu Zhao Yuanyuan Zou shaoyuan li Department of Automation Shanghai Jiao Tong University

This paper addresses the challenge of persistent monitoring of multiple targets by multiagent systems within a defined area, aiming to minimize the average estimation errors while subject to Signal Temporal Logic(STL) constraints. Multi-agent systems have received significant attention for their potential in various applications, including surveillance, environmental monitoring, and search and rescue operations. One of the critical tasks in these applications is the persistent monitoring of multiple targets, which requires a team of agents to monitor a set of targets in a given area persistently. This problem has been proven to be non-convex, and when considering practical STL constraints such as specifying monitoring execution times and sequential monitoring, the problem becomes computationally intractable(NP-hard). Moreover, to satisfy the STL constraints, the agents need to consider global information over the entire task time domain, further increasing the problem size. To overcome the aforementioned challenges, this paper proposes a reachability-based controller design method that decomposes the global STL constraints into multiple short horizons within a receding horizon control(RHC) framework. Specifically, the full-time horizon global optimization problem is described by a RHC scheme, and we show that the RHC problem in the short horizon can be eventually equivalent to the original optimization problem. Then we prove that the STL constraints can be decomposed into each receding horizon, and a reachability-based method is proposed to evaluate the temporal behavior of the system, guaranteeing the satisfaction of the STL constraints. Numerical simulations demonstrate the feasibility and effectiveness of the proposed method, where two agents are required to monitor five targets while satisfying STL requirements including avoiding obstacle regions Ο, monitoring target ! at last once in 10 seconds, and visiting target " within 5 seconds once the current agent leav

关键词： Persistent monitoring receding horizon control signal temporal logic multi-agent

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Modeling and Analysis of Flexible Manufacturing Systems Base...

高血压脑出血手术治疗时间选择对患者临床疗效及生活质量的影响研究

第35届中国过程控制会议

作者： Yuxin Cen shaoyuan li Xiang Ying Department of Automation Shanghai Jiao Tong University

In this paper, we investigate the modeling and analysis problems of flexible manufacturing systems based on *** work on this topic primarily focuses on supervisory control theory and discrete event systems. In our approach, we propose to use LTS to model the system and LTL to describe system properties. We present utilizing model checking methods to verify system properties and generate deterministic system control sequences. To address non-deterministic system control problems, we propose a game-based formal control synthesis method that transforms the system control problem into a game problem. We provide the algorithms for model checking and three games. Finally, we illustrate the feasibility of our proposed method through a case study.

关键词： Lable transtion system linear temporal logic model checking formal control synthesis

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科技与健康 2024年第9期3卷 81-84页

作者：李绍元六盘水市第二人民医院贵州六盘水553400

研究高血压脑出血手术治疗时间的选择对患者临床疗效及生活质量的影响。选取六盘水市第二人民医院2019年1月—2023年4月收治的40例高血压脑出血患者为研究对象,根据手术治疗时间的不同分为观察组(n=20,发病后立即行手术治疗)与对照组(n=... 详细信息

研究高血压脑出血手术治疗时间的选择对患者临床疗效及生活质量的影响。选取六盘水市第二人民医院2019年1月—2023年4月收治的40例高血压脑出血患者为研究对象,根据手术治疗时间的不同分为观察组(n=20,发病后立即行手术治疗)与对照组(n=20,受其他原因影响发病后3~6 h内行手术治疗),均行开颅去骨瓣脑内血肿清除手术。比较两组患者治疗效果。结果显示,观察组治疗总有效率高于对照组(P0.05)。治疗后,观察组患者炎症因子水平低于对照组(P<0.05)。研究发现,于高血压脑出血患者发病后立即行手术治疗,能优化临床治疗效果,提高患者生活质量,减轻患者神经缺损程度,降低炎症因子水平,具有临床推广价值。

关键词：高血压脑出血开颅去骨瓣脑内血肿清除临床疗效生活质量

基于多变量逻辑回归的帕金森病认知障碍预测模型

维普期刊数据库评论

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智能科学与技术学报 2024年第2期6卷 232-243页

作者：巴梦茹尹晓红李少远青岛科技大学自动化与电子工程学院山东青岛266061

帕金森病(Parkinson’s disease,PD)患者常伴随认知障碍,严重影响生活质量,因此对帕金森病认知障碍进行超前预测对于临床诊断和干预至关重要。然而,帕金森病受多变量因素(如年龄、性别、病程时间等)的耦合影响,使得认知障碍的超前预测... 详细信息

帕金森病(Parkinson’s disease,PD)患者常伴随认知障碍,严重影响生活质量,因此对帕金森病认知障碍进行超前预测对于临床诊断和干预至关重要。然而,帕金森病受多变量因素(如年龄、性别、病程时间等)的耦合影响,使得认知障碍的超前预测面临严峻挑战。针对帕金森病认知障碍的多变量耦合特性,采用多变量逻辑回归方法,构建了一种新型列线图模型,旨在超前预测帕金森病患者发生认知障碍(cognitive impair‐ment,CI)的风险。首先,应用最小绝对收缩选择算子(least absolute shrinkage and selection operator,LASSO)算法对可能影响患者认知能力的风险因素进行了分析,筛选出相关性高的临床变量。其次,采用多变量逻辑回归方法分析各变量之间的相关性,构建可视化的新型列线图模型,实现对帕金森病认知障碍的风险超前预测。最后,模型性能评估结果表明新型认知障碍预测模型具有良好的准确性、一致性和临床实用性,可显著地提高临床医生的诊断效率。此外,该模型还实现了对同一预测因子不同值的患者数量及分布的可视化对比和分析,能够辅助临床医生根据每位患者的个人风险制定个性化的医疗管理和咨询方案,有助于更早地展开对患者的干预和治疗,具备一定的临床诊断价值。

关键词：帕金森病认知障碍多变量逻辑回归列线图

基于VMD-CNN-LSTM的农业大棚园区用电负荷短期预测

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信息与控制 2024年第2期53卷 238-249页

作者：张培霄尹晓红李少远王新立青岛科技大学自动化与电子工程学院山东青岛266061 山东大学控制科学与工程学院山东济南250061

针对农业大棚用电负荷受农村供电能力、气象因素等的影响,具有强波动性和高非线性的问题,综合大棚短期负荷的气象特征和时序特征,提出了一种基于变分模态分解(variational mode decomposition,VMD)的长短期记忆(long short-term memory,... 详细信息

针对农业大棚用电负荷受农村供电能力、气象因素等的影响,具有强波动性和高非线性的问题,综合大棚短期负荷的气象特征和时序特征,提出了一种基于变分模态分解(variational mode decomposition,VMD)的长短期记忆(long short-term memory,LSTM)网络与卷积神经网络(convolutional neural network,CNN)相融合的VMD-CNN-LSTM的短期负荷预测模型架构。首先,基于VMD方法分解负荷序列,降低负荷波动性;其次,采用CNN方法提取负荷的气象特征,采用LSTM方法提取负荷时序特征,进行负荷分量预测,并将模态分量的预测结果重构;最后,以山东省寿光市农业大棚负荷数据为基础开展仿真实验。结果表明,VMD-CNN-LSTM模型与传统神经网络模型相比,可有效提高农业大棚短期负荷预测的精度。

关键词：农业大棚园区负荷变分模态分解短期负荷预测卷积神经网络长短期记忆网络

Energy Efficient Predictive Control for Vapor Compression Refrigeration Cycle Systems

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IEEE/CAA Journal of Automatica Sinica 2018年第5期5卷 953-960页

作者： Xiaohong Yin shaoyuan li the School of Automation and Electronic Engineering Qingdao University of Science and TechnologyQingdao 266042China the Department of Automation Shanghai Jiao Tong Universityand the Key Laboratory of System Control and Information ProcessingMinistry of Education of ChinaShanghai 200240China

Abstract--Vapor compression refrigeration cycle （VCC） system is a high dimensional coupling thermodynamic system for which the controller design is a great challenge. In this paper, a model predictive control based energy efficient control strategy which aims at maximizing the system efficiency is proposed. Firstly, according to the mass and energy conservation law, an analysis on the nonlinear relationship between superheat and cooling load is carried out, which can produce the maximal effect on the system performance. Then a model predictive control （MPC） based controller is developed for tracking the calculated setting curve of superheat degree and pressure difference based on model identified from data which can be obtained from an experimental rig. The proposed control strategy maximizes the coefficient of performance （COP） which depends on operating conditions, in the meantime, it meets the changing demands of cooling capacity. The effectiveness of the control performance is validated on the experimental rig. Index Terms--Cooling load, model predictive control （MPC）, superheat, vapor compression refrigeration cycle （VCC）.

关键词： Cooling load model predictive control(MPC) superheat vapor compression refrigeration cycle(VCC)

PERFORMANCE liMITATIONS FOR A CLASS OF KLEINMAN CONTROL SYSTEMS

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Journal of Systems Science & Complexity 2014年第3期27卷 445-452页

作者： CAI Xin li shaoyuan Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System.Control and Information ProcessingMinistry of Education

This paper provides preliminary results on performance limitations for a class of discrete time Kleinman control systems whose open loop poles lie strictly outside the unit circle. By exploiting the properties of the Kleinman controllers and using of Mgebraic Riccati equation （ARE）, the relationship between total control energy of Kleinman control systems and the minimum energy needed to stabilize the open-loop systems is revealed. The result reflects how the horizon length of Kleinman controllers affects the performance of the closed-loop systems and quantifies how close the performance of Kleinman control systems is to the minimum energy.

关键词： Algebraic Riccati equation Kleinman control minimum energy control performance limitations zero terminal receding horizon control.

Event-triggered MPC Design for Distributed Systems With Network Communications

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IEEE/CAA Journal of Automatica Sinica 2018年第1期5卷 240-250页

作者： Xiaoxiao Mi shaoyuan li Key Laboratory of System Control and Information Processing Shanghai Jiao Tong University

This paper deals with the communication problem in the distributed system, considering the limited battery power in the wireless network and redundant transmission among nodes. We design an event-triggered model predictive control(ET-MPC) strategy to reduce the unnecessary communication while promising the system performance. On one hand, for a linear discrete time-invariant system, a triggering condition is derived based on the Lyapunov stability. Here, in order to further reduce the communication rate, we enforce a triggering condition only when the Lyapunov function will exceed its value at the last triggered time, but an average decrease is guaranteed. On the other hand, the feasibility is ensured by minimizing and optimizing the terminal constrained set between the maximal control invariant set and the target terminal set. Finally, we provide a simulation to verify the theoretical results. It's shown that the proposed strategy achieves a good trade-off between the closed-loop system performance and communication rate.

关键词： Event-triggered control Lyapunov stability model predictive control(MPC) terminal invariant set