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On the reinforcement learning extended state observer for a class of uncertain sampled-data control systems

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Science China(Information Sciences) 2023年第7期66卷 73-74页

作者： Guojie TANG Wenchao XUE haitao fang Kun ZHANG LSC NCMIS Academy of Mathematics and Systems Science Chinese Academy of Sciences School of Mathematical Sciences University of Chinese Academy of Sciences School of Astronautics Beihang University

In the last few decades, the extended state observer(ESO) [1] has been demonstrated to be an effective tool for dealing with uncertain control systems and many modified ESOs have been proposed to get the desired estimation performance [2–4]. Nevertheless, most of these methods assume that part of the model information is already ***, a data-driven tuning law for ESO without assuming model information for disturbances and noise seems to be a significant open issue.

关键词： DISTURBANCE REJECTION

内蒙古乌梁素海湿地水禽自治区级自然保护区两栖爬行动物调查及区系分析

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内蒙古林业调查设计 2024年第2期47卷 28-30,92页

作者：郭思旻陈峰方海涛内蒙古自治区林业和草原保护总站呼和浩特010021 巴彦淖尔市乌拉特国家级自然保护区管理局内蒙古巴彦淖尔015000 内蒙古自治区林业和草原监测规划院呼和浩特010020

为全面了解内蒙古乌梁素海湿地水禽自治区级自然保护区两栖、爬行动物种类、区系和数量现状,促进保护区精准化建设和管理,2023年5~8月,作者对保护区两栖、爬行动物资源进行调查。调查记录两栖动物3种,隶属于1目2科2属;爬行动物7种,隶属... 详细信息

为全面了解内蒙古乌梁素海湿地水禽自治区级自然保护区两栖、爬行动物种类、区系和数量现状,促进保护区精准化建设和管理,2023年5~8月,作者对保护区两栖、爬行动物资源进行调查。调查记录两栖动物3种,隶属于1目2科2属;爬行动物7种,隶属于3目4科5属。保护区处于动物地理分布区中的古北界蒙新区,古北界特有种5种,东洋区、古北区的共有种5种。

关键词：乌梁素海两栖动物爬行动物区系

Concept, configuration, and application of on-board nanogrids for use in electric vehicles

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Science China(Technological Sciences) 2024年第7期67卷 2053-2073页

作者： ZHAO Bing LI Yong WU fang WAN JiangHu CAI JiuQing YANG haitao LIU fang College of Electrical and Information Engineering Hunan UniversityChangsha 410082China Wuhan Second Ship Design and Research Institute Wuhan 430000China School of Automation Central South UniversityChangsha 410083China

Against the backdrop of increasingly serious climate change, researchers are attempting to extend macroscale carbon reduction research to smaller scales. With the rapid development and widespread application of electric vehicles(EVs), an effective approach for carbon reduction based on EVs has the potential to be developed. To coordinate and manage the EV platform in diverse application scenarios, the concept of an on-board nanogrid(OBNG), in which a nanogrid is combined with the EV, is proposed and defined, and the characteristics summarized. A configuration that includes a physical layer with the on-board hardware system;an information layer for logical control, energy management, and communication coordination;and an application layer that can cope with different working environments is proposed. A detailed introduction to the basic architecture and management mode of each layer is provided along with information concerning the relevant technologies for coordinated operation. New ideas and approaches to improve the existing performance are proposed, and finally, combined with a background of smart and low-carbon cities, major application scenarios are envisioned.

关键词： electric vehicle nanogrid energy management hybrid energy storage power electronics converter

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Asymptotic properties of distributed social sampling algorithm

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Science China(Information Sciences) 2020年第1期63卷 152-166页

作者： Qian LIU Xingkang HE haitao fang The Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of Sciences School of Mathematical Sciences University of Chinese Academy of Sciences ACCESS Linnaeus Centre School of Electrical Engineering and Computer ScienceKTH Royal Institute of Technology

Social sampling is a novel randomized message passing protocol inspired by social communication for opinion formation in social networks. In a typical social sampling algorithm, each agent holds a sample from the empirical distribution of social opinions at initial time, and it collaborates with other agents in a distributed manner to estimate the initial empirical distribution by randomly sampling a message from current distribution estimate. In this paper, we focus on analyzing the theoretical properties of the distributed social sampling algorithm over random networks. First, we provide a framework based on stochastic approximation to study the asymptotic properties of the algorithm. Then, under mild conditions, we prove that the estimates of all agents converge to a common random distribution, which is composed of the initial empirical distribution and the accumulation of quantized error. Besides, by tuning algorithm parameters, we prove the strong consistency, namely, the distribution estimates of agents almost surely converge to the initial empirical distribution. Furthermore, the asymptotic normality of estimation error generated by distributed social sample algorithm is addressed. Finally, we provide a numerical simulation to validate the theoretical results of this paper.

关键词： social networks opinion formation social sampling stochastic approximation random networks asymptotic normality

Orbital angular momentum-mediated machine learning for high-accuracy mode-feature encoding

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Light(Science & Applications) 2024年第3期13卷 466-477页

作者： Xinyuan fang Xiaonan Hu Baoli Li Hang Su Ke Cheng haitao Luan Min Gu Institute of Photonic Chips University of Shanghai for Science and TechnologyShanghai 200093China Centre for Artificial-Intelligence Nanophotonics School of Optical-Electrical and Computer EngineeringUniversity of Shanghai for Science and TechnologyShanghai 200093China

Machine learning with optical neural networks has featured unique advantages of the information processing including high speed,ultrawide bandwidths and low energy consumption because the optical dimensions(time,space,wavelength,and polarization)could be utilized to increase the degree of ***,due to the lack of the capability to extract the information features in the orbital angular momentum(OAM)domain,the theoretically unlimited OAM states have never been exploited to represent the signal of the input/output nodes in the neural network ***,we demonstrate OAM-mediated machine learning with an all-optical convolutional neural network(CNN)based on Laguerre-Gaussian(LG)beam modes with diverse diffraction *** proposed CNN architecture is composed of a trainable OAM mode-dispersion impulse as a convolutional kernel for feature extraction,and deep-learning diffractive layers as a *** resultant OAM mode-dispersion selectivity can be applied in information mode-feature encoding,leading to an accuracy as high as 97.2%for MNIST database through detecting the energy weighting coefficients of the encoded OAM modes,as well as a resistance to eavesdropping in point-to-point free-space ***,through extending the target encoded modes into multiplexed OAM states,we realize all-optical dimension reduction for anomaly detection with an accuracy of 85%.Our work provides a deep insight to the mechanism of machine learning with spatial modes basis,which can be further utilized to improve the performances of various machine-vision tasks by constructing the unsupervised learning-based auto-encoder.

关键词： polarization mode momentum

ON CONTROL OF STRONG CONSENSUS FOR NETWORKED AGENTS WITH NOISY OBSERVATIONS

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Journal of Systems Science & Complexity 2012年第1期25卷 1-12页

作者： haitao fang Han-Fu CHEN Lei WEN Key Laboratory of Systems and Control Institute of Systems ScienceAcademy of Mathematics and Systems ScienceChinese Academy of Sciences

有通讯噪音的分离时间的一阶的多代理人网络在考虑下面。基于吵闹的观察，一致控制为网络被给与修理并且变化时间的拓扑学。在结果的代理人的状态靠近环的网络被随机的近似(SA ) 更新算法，和为网络的一致分析转弯是为 SA 的集中分析。... 详细信息

有通讯噪音的分离时间的一阶的多代理人网络在考虑下面。基于吵闹的观察，一致控制为网络被给与修理并且变化时间的拓扑学。在结果的代理人的状态靠近环的网络被随机的近似(SA ) 更新算法，和为网络的一致分析转弯是为 SA 的集中分析。为有固定拓扑学的网络，如果与网络联系的图被连接，建议一致控制与概率一导致代理人的一致。在变化时间的拓扑学的情况中，如果图联合在一个确定的时间时期被连接，类似的结果被导出。与存在结果相比，这里考虑的网络在在更弱的假设下面的一个更一般的背景，强壮的一致被一个更简单的证明建立。

关键词：网络代理噪声控制测强离散时间时变拓扑网络随机逼近算法拓扑结构

A novel opinion model for complex macro-behaviors of mass opinion

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Science China(Information Sciences) 2021年第2期64卷 261-263页

作者： Yu XING Yiguang HONG haitao fang Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of Sciences School of Mathematical Sciences University of Chinese Academy of Sciences

Dear editor,Opinion evolution is ubiquitous in everyday life. People often alter their attitudes or behaviors such that they can be more similar to or different from others. These processes of social influence may occur because of several reasons, e.g.,persuasion and conformity. In fact, opinion dynamics concerns important topics in social sciences, such as community cleavage, political opinion, and social organization [1–3].Therefore, various mathematical models have been proposed to reveal the underlying mechanisms [1, 4].

关键词： Social networks Opinion dynamics DeGroot model Friedkin-Johnson model Mass opinion Macro-behavior

Quasi-consistent fusion navigation algorithm for DSS

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Science China(Information Sciences) 2018年第1期61卷 187-203页

作者： Qiya SU Yi HUANG Yanguang JIANG haitao fang Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of Sciences School of Mathematical Sciences University of Chinese Academy of Sciences Beijing Institute of Control and Electronics Technology

A fusion navigation algorithm for the distributed satellites system(DSS) utilizing relative range measurements is proposed in this paper. Based on the quasi-consistent extended Kalman filter(QCEKF), an on-line evaluation of the navigation precision can be provided by the fusion navigation algorithm. In addition,the upper bound for the estimation error obtained from the fusion navigation algorithm is lower than those with any groups of measurements, which indicates that the fusion navigation algorithm can automatically choose the suitable redundant measurements to improve the navigation precision. The simulations show the feasibility and effectiveness of the proposed fusion navigation algorithm.

关键词： quasi-consistent extended Kalman filter(QCEKF) extended Kalman filter(EKF) fusion algorithm navigation distributed satellites system(DSS)

On extended state based Kalman filter design for a class of nonlinear time-varying uncertain systems

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Science China(Information Sciences) 2018年第4期61卷 118-133页

作者： Wenyan BAI Wenchao XUE Yi HUANG haitao fang Beijing Aerospace Automatic Control Institute LSC NCMIS Academy of Mathematics and Systems Science Chinese Academy of Sciences School of Mathematical Sciences University of Chinese Academy of Sciences

This paper considers the filtering problem for a class of multi-input multi-output systems with nonlinear time-varying uncertain dynamics, random process and measurement noise. An extended state based Kalman filter, with the idea of timely estimating the unknown dynamics, is proposed for better robustness and higher estimation precision. The stability of the proposed filter is rigorously proved for nonlinear timevarying uncertain system with weaker stability condition than the extended Kalman filter, i.e., the initial estimation error, the uncertain dynamics and the noises are only required to be bounded rather than small enough. Moreover, quantitative precision of the proposed filter is theoretically evaluated. The proposed algorithm is proved to be the asymptotic unbiased minimum variance filter for constant uncertainty. The simulation results of some benchmark examples demonstrate the feasibility and effectiveness of the method.

关键词： Kalman filter extended state observer nonlinear time-varying uncertain system unbiased minimum variance filter active disturbance rejection control