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微网优化控制研究现状及智能化即插即用趋势与策略

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上海交通大学学报 2017年第9期51卷 1097-1103页

作者：江海啸郑毅李少远蔡旭上海交通大学电子信息与电气工程学院上海200240 中国中车株洲电力机车研究所湖南株洲412001

微型电网是在用户侧提高整体能源效率、清洁化程度和智能化程度的重要手段,其优化运行控制是能否有效发挥上述作用的关键.分析了不同微网结构,即直流微网、交流微网和交直流微网在控制优化需求方面的异同及优缺点.重点介绍比对了目前微... 详细信息

微型电网是在用户侧提高整体能源效率、清洁化程度和智能化程度的重要手段,其优化运行控制是能否有效发挥上述作用的关键.分析了不同微网结构,即直流微网、交流微网和交直流微网在控制优化需求方面的异同及优缺点.重点介绍比对了目前微电网低层控制方法和监督层的能量管理策略.总结了目前微网控制优化的热点问题及发展趋势,并提出了智能化即插即用微网构架在算法和实现方面的解决策略.

关键词：智能微网分布式系统即插即用分布式优化

Self-tuning Based Event-triggered Control for Networked Control Systems under Replay Attack

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Self-tuning Based Event-triggered Control for Networked Cont...

第31届中国过程控制会议（CPCC2020）

作者： Shicheng Zhao Jing Wu Chengnian Long shaoyuan li Dan Huang Department of Automation Key Laboratory of System Control and Information Processing Shanghai Jiao Tong University School of Aeronautics and Astronautics Shanghai Jiao Tong University

This paper addresses the stability problem for networked control systems(NCSs) under attacks. An sufficient condition for system stability are proposed and corresponding controller design is completed. Moreover, a typical replay attack against actuator has been modeled, the only constraints of which is energy-limited. The improved self-tuning event-triggered scheme can adjust triggered law accordingly with response to attack signals by the tuning term, which is able to promote both control and data transmission performance in our strategy. At last, an numerical example is provided to demonstrate the effectiveness of our strategy.

关键词： Networked Control System Event-triggered Mechanism Replay Attack Performance Tuning Robust Stability

Contribution-based Dynamic Attention Oversampling for Imbalanced Data

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Contribution-based Dynamic Attention Oversampling for Imbala...

第32届中国过程控制会议(CPCC2021)

作者： Sha He Jing Wu shaoyuan li Dan Huang Dongqi Lu Department of Automation and Key Laboratory of System Control and Information Processing Shanghai Jiao Tong University Taizhou Power Supply Company of State Grid Zhejiang Electric Power Co. Ltd

As the most successful oversampling algorithm,the SMOTE algorithm and its numerous extensions are widely used for imbalanced problem,which is long-standing and challenging for classification ***,the performance of these methods is greatly affected by the data distribution due to the use of local *** this paper,we propose a novel oversampling technique based on global distribution to deal with imbalance *** calculating the classification error,a contribution factor is assigned to each sample with a sampling weight,which can synthesize samples contribute and accurate the classification ***,the dynamic attention is also introduced to help synthetic samples to balance efficiency and *** changes the space we pay attention to by an attention factor as the sample synthesis *** conduct experiments on different data sets and compare our method with other existing over-sampling techniques,which demonstrates that our approach can realize better classification performance.

关键词： oversampling technique imbalanced problem classification dynamic attention

A Hierarchical Satisfying Optimal Algorithm with Different Importance and Priorities

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A Hierarchical Satisfying Optimal Algorithm with Different I...

第二届不确定系统年会

作者： shaoyuan li Changjun TENG (Institute of Automation, Shanghai Jiao Tong University, 200030)

This paper formulates a hierarchical satisfying optimal algorithm incorporating different importance and preemptive priorities. With the priority structure given by the decision-maker in the constrained multi-objective multi-degree-of-freedom optimization (CMMO) problem, the commonly used qadratic programming model is converted into a two-level optimization problem solved by the tolerant lexicographic method and the varying-domain optimization method. In contrast to previous works, the proposed approach allows the decision-maker to determine a desirable achievement degree for each goal to reflect explicitly the relative importance of these goals. The resulting solutions satisfy both the preemptive priority structure and have the maximum achievement degrees in sum. The power of the proposed approach is demonstrated with an example.

关键词： multiple priorities optimization satisfying optimal control predictive control

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基于状态空间模型的模糊控制系统稳定性分析

中国纺织大学学报 2000年第3期26卷 14-17页

作者：李少远席裕庚上海交通大学自动化研究所上海200030

根据Sugeno形式的模糊推理给出了控制系统的状态空间模型,对于局部子系统可分别设计子控制器。重点分析了全局控制系统的稳定性,给出了一种判定系统稳定性的方法,并用一个例子验证了该方法的有效性。

关键词： Lyapunov 系统稳定性分析控制系统模糊模型

DGSSL:A novel Deep Graph Semi-Supervised Learning framework for financial credit evaluation

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DGSSL:A novel Deep Graph Semi-Supervised Learning framework ...

第32届中国过程控制会议(CPCC2021)

作者： Yun Qiu Jing Wu shaoyuan li Xiaoyu Xiang Qian Yu Department of Automation and Key Laboratory of System Control and Information Processing Shanghai Jiao Tong University Taizhou Power Supply Company of State Grid Zhejiang Electric Power Co. Ltd

Label scarcity is a prevailing problem in financial data which restricts model performance in financial credit evaluation *** this paper,a Deep Graph Semi-Supervised Learning(DGSSL) framework is proposed to evaluate credit of financial individuals accurately and efficiently under label scarcity *** DGSSL,financial features are treated as graph structral data to explore the potential relationship information which is ignored by most of traditional *** this way,deep graph embedding and biased random walk are employed to reconstruct and extract features to exploit latent structral and distribution information of the ***,Graph Convolutional Network(GCN) is adopted to train Semi-Supervised Learning(SSL) model,experiments on credit card dataset prove that our proposed DGSSL framework performs better than several classic and advanced methods,especially in the case of extremely scarce *** addition,DGSSL owns faster training process than traditional GCN.

关键词： Financial Credit Evaluation Semi-Supervised Learning Deep Graph Embedding Graph Convolutional Network

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流程工业控制系统的知识图谱构建

智能科学与技术学报 2022年第1期4卷 129-141页

作者：牟天昊李少远上海交通大学电子信息与电气工程学院上海交通大学系统控制与信息处理教育部重点实验室

近年来,工业控制系统智能化的趋势方兴未艾,相关新技术新思想不断被提出。知识图谱是人工智能应用的基础资源,构建专业领域知识图谱已经成为研究热点。然而,控制系统知识图谱构建尚处于发展初期。对控制系统的结构特点和任务要求进行分... 详细信息

近年来,工业控制系统智能化的趋势方兴未艾,相关新技术新思想不断被提出。知识图谱是人工智能应用的基础资源,构建专业领域知识图谱已经成为研究热点。然而,控制系统知识图谱构建尚处于发展初期。对控制系统的结构特点和任务要求进行分析,给出控制系统的知识图谱构建的方法框架。首先对已有的流程工业控制系统知识图谱构建的工作进行总结,阐述了工业控制系统的特点,给出了控制系统知识图谱构建的基本原则和流程,并以控制系统信息物理资产管理任务为例进行了详细的知识图谱构建说明。最后,对未来的研究方向进行了展望。

关键词：控制系统领域知识图谱物理信息系统构建技术

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固体废弃物的资源化及水射器在堆浸中的应用

黄金 2005年第11期26卷 37-39页

作者：李少元黄华连广西田林高龙黄金矿业有限责任公司

主要介绍了大规模集中堆浸,分层分区筑堆、分层分区循环喷淋、不出浸渣的堆浸喷淋技术处理含金固体废弃物,使固体废弃物资源化的生产实践,以及水射器在堆浸生产逆流串炭中的应用。

关键词：固体废弃物大规模堆浸水射器

Influence of fabrication parameter on the nanostructure of SiNWs under HF/AgNO3/Fe(NO3)3etching system

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Influence of fabrication parameter on the nanostructure of S...

2014中国功能材料科技与产业高层论坛

作者： Yongyin Xiao Xiuhua Chen Wenhui Ma shaoyuan li Yuping li Jiali He Hui Zhang Jiao li Faculty of Physical Science and Technology Yunnan University Faculty of Metallurgical and energy engineering Kunming University of Science and Technology

Large-area SiNWs has been successfully fabricated through one-step metal-assisted chemical etching process at room *** effects of key fabrication parameters(AgNO concentration,Fe(NO) concentration,and etching time)on the nanos-tructure SiNWs were carefully investigated by SEM,TEM,*** results show that AgNO concentration and Fe(NO) concentration play important roles to the lengths and arrangements of SiNWs arrays in one-step *** morphological transition of Si surfaces from solid nanowires to porous nanowires can be found with increasing AgNO concentration and Fe(NO) concentration,which indicates that the re-dissolved Ag+would work as the main oxidative species for oxidizing the silicon substrate and forming SiNWs in the HF/AgNO/Fe(NO) etching *** length of SiNWs is increased with increasing AgNO concentration from 0.005 mol/L to 0.02 mol/L and etching time,the chemical polish phoenomenon can be observed when the Fe(NO) concentration increases to0.5 mol/L.A novel mechanism is proposed to explain the formation of SiNWs in HF/AgNO/Fe(NO) solution.

关键词： Silicon nanowires one-step MACE HF/ AgNO3/Fe(NO3)3 etchant