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Distributed Least Squares Algorithm of Continuous-Time Stochastic Regression Model Based on Sampled Data

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Journal of systems Science & Complexity 2024年第2期37卷 609-628页

作者： ZHU Xinghua GAN Die LIU Zhixin The key laboratory of systems and Control Academy of Mathematics and Systems ScienceChinese Academy of Sciencesand School of Mathematical SciencesUniversity of Chinese Academy of SciencesBeijing 100190China Zhongguancun laboratory Beijing 100094China

In this paper,the authors consider the distributed adaptive identification problem over sensor networks using sampled data,where the dynamics of each sensor is described by a stochastic differential *** minimizing a local objective function at sampling time instants,the authors propose an online distributed least squares algorithm based on sampled data.A cooperative non-persistent excitation condition is introduced,under which the convergence results of the proposed algorithm are established by properly choosing the sampling time *** upper bound on the accumulative regret of the adaptive predictor can also be ***,the authors demonstrate the cooperative effect of multiple sensors in the estimation of unknown parameters by computer simulations.

关键词： Cooperative excitation condition distributed least squares regret sampled data stochastic differential equation

Threshold Selection and Resource Allocation for Quantized Identification

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Journal of systems Science & Complexity 2024年第1期37卷 204-229页

作者： WANG Ying LI Xin ZHAO Yanlong ZHANG Ji-Feng key laboratory of systems and Control Institute of Systems ScienceAcademy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190China School of Mathematical sciences University of Chinese Academy of SciencesBeijing 100049China

This paper is concerned with the optimal threshold selection and resource allocation problems of quantized identification, whose aims are improving identification efficiency under limited resources. Firstly, the first-order asymptotically optimal quantized identification theory is extended to the weak persistent excitation condition. Secondly, the characteristics of time and space complexities are established based on the Cramér-Rao lower bound of quantized systems. On these basis, the optimal selection methods of fixed thresholds and adaptive thresholds are established under aperiodic signals, which answer how to achieve the best efficiency of quantized identification under the same time and space complexity. In addition, based on the principle of maximizing the identification efficiency under a given resource, the optimal resource allocation methods of quantized identification are given for the cases of fixed thresholds and adaptive thresholds, respectively, which show how to balance time and space complexity to realize the best identification efficiency of quantized identification.

关键词： Quantized output resource allocation system identification threshold selection.

Design of zero-determinant strategies and its application to networked repeated games

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Science China(Information sciences) 2024年第10期67卷 227-243页

作者： Daizhan CHENG Changxi LI key laboratory of systems and Control Academy of Mathematics and Systems SciencesChinese Academy of Sciences School of Mathematics Shandong University

Using the semi-tensor product（STP） of matrices, the profile evolutionary equation（PEE） for repeated finite games is obtained. By PEE, the zero-determinant（ZD） strategies are developed for general finite games. A formula is then obtained to design ZD strategies for general finite games with multiple players and asymmetric strategies. A necessary and sufficient condition is obtained to ensure the availability of the designed ZD strategies. It follows that player i can unilaterally design ki-1（one less than the number of its strategies） dominating linear relations about the expected payoffs of all players. Finally, the fictitious opponent player is proposed for networked repeated games（NRGs）. A technique is proposed to simplify the model by reducing the number of frontier strategies.

关键词： finite repeated game profile evolutionary equation ZD strategy networked repeated games semi-tensor product of matrices

Global Marine Cold Seep Metagenomes Reveal Diversity of Taxonomy,Metabolic Function,and Natural Products

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Genomics, Proteomics & Bioinformatics 2024年第2期22卷 121-134页

作者： Tao Yu Yingfeng Luo Xinyu Tan Dahe Zhao Xiaochun Bi Chenji Li Yanning Zheng Hua Xiang Songnian Hu State key laboratory of microbial Resources Institute of MicrobiologyChinese Academy of SciencesBeijing 100101China University of chinese academy of sciences Beijing 100049China

Cold seeps in the deep sea are closely linked to energy exploration as well as global climate *** alkane-dominated chemical energy-driven model makes cold seeps an oasis of deep-sea life,showcasing an unparalleled reservoir of microbial genetic ***,by analyzing 113 metagenomes collected from 14 global sites across 5 cold seep types,we present a comprehensive Cold Seep Microbiomic Database(CSMD)to archive the genomic and functional diversity of cold seep *** CSMD includes over 49 million non-redundant genes and 3175 metagenome-assembled genomes,which represent 1895 species spanning 105 *** addition,beta diversity analysis indicates that both the sampling site and cold seep type have a substantial impact on the prokaryotic microbiome community *** and anaerobic metabolisms are prevalent in microbial communities,accompanied by considerable mixotrophs and facultative anaerobes,highlighting the versatile metabolic potential in cold ***,secondary metabolic gene cluster analysis indicates that at least 98.81%of the sequences potentially encode novel natural products,with ribosomally synthesized and post-translationally modified peptides being the predominant type widely distributed in archaea and ***,the CSMD represents a valuable resource that would enhance the understanding and utilization of global cold seep microbiomes.

关键词： Global marine cold seep Metagenome Prokaryotic microbiome Metabolic function Natural product

A stochastic gradient-based two-step sparse identification algorithm for multivariate ARX systems

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Control Theory and Technology 2024年第2期22卷 213-221页

作者： Yanxin Fu Wenxiao Zhao key laboratory of systems and Control Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing100190China School of Mathematical sciences University of Chinese Academy of SciencesBeijing100049China

We consider the sparse identification of multivariate ARX systems, i.e., to recover the zero elements of the unknown parameter matrix. We propose a two-step algorithm, where in the first step the stochastic gradient (SG) algorithm is applied to obtain initial estimates of the unknown parameter matrix and in the second step an optimization criterion is introduced for the sparse identification of multivariate ARX systems. Under mild conditions, we prove that by minimizing the criterion function, the zero elements of the unknown parameter matrix can be recovered with a finite number of observations. The performance of the algorithm is testified through a simulation example.

关键词： ARX system Stochastic gradient algorithm Sparse identification Support recovery Parameter estimation Strong consistency

Emergence of machine language: towards symbolic intelligence with neural networks

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National Science Review 2024年第4期11卷 27-30页

作者： Yuqi Wang Xu-Yao Zhang Cheng-Lin Liu Tieniu Tan Zhaoxiang Zhang State key laboratory of Multimodal Artificial Intelligence systems Institute of AutomationChinese Academy of Sciences

Representation learning is a core issue in artificial intelligence (AI). Currently,there exists a disparity in the choice of representation between humans and machines. Humans rely on discrete language for communicati...

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Density peak clustering using tensor network

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Science China(Information sciences) 2024年第3期67卷 321-322页

作者： Xiao SHI Yun SHANG Institute of Mathematics Academy of Mathematics and Systems ScienceChinese Academy of Sciences School of Mathematical sciences University of Chinese Academy of Sciences National Center for Mathematics and Interdisciplinary sciences Key Laboratory of ManagementDecision and Information SystemsAcademy of Mathematics and Systems ScienceChinese Academy of Sciences

Tensor networks have been a powerful tool in simulating many-body physics and have recently gained recognition in the machine learning community due to their remarkable representation capabilities. However, using tens... 详细信息

关键词： Tensors

Temperature is a cryptic factor shaping the geographical pattern of genetic variation in Ceratophyllum demersum across a subtropical freshwater lake

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Plant Diversity 2024年第5期46卷 630-639页

作者： Yixian Li Xuyao Zhao Manli Xia Xinzeng Wei Hongwei Hou The State key laboratory of Freshwater Ecology and biotechnology The Key Laboratory of Aquatic Biodiversity and Conservation of Chinese Academy of SciencesInstitute of HydrobiologyChinese Academy of SciencesWuhan 430072HubeiChina University of chinese academy of sciences Beijing 100049China key laboratory of Aquatic Botany and Watershed Ecology Wuhan Botanical GardenChinese Academy of SciencesWuhan 430074HubeiChina

Macrophyte habitats exhibit remarkable heterogeneity,encompassing the spatial variation of abiotic and biotic components such as changes in water conditions and weather as well as anthropogenic *** factors are thought to be important drivers shaping the genetic and epigenetic variation of aquatic ***,the links among genetic diversity,epigenetic variation,and environmental variables remain largely unclear,especially for clonal aquatic ***,we performed population genetic and epigenetic analyses in conjunction with habitat discrimination to elucidate the environmental factors driving intraspecies genetic and epigenetic variation in hornwort(Ceratophyllum demersum)in a subtropical *** factors were highly correlated with the genetic and epigenetic variation of ***,with temperature being a key driver of the genetic *** temperature was detected to be correlated with greater genetic and epigenetic *** and epigenetic variation were positively driven by water temperature,but were negatively affected by ambient air *** findings indicate that the genetic and epigenetic variation of this clonal aquatic herb is not related to the geographic feature but is instead driven by environmental conditions,and demonstrate the effects of temperature on local genetic and epigenetic variation in aquatic systems.

关键词： Genetic diversity Epigenetic variation Temperature Macrophyte Restoration

Coordinated Capacitor Voltage Balancing Method for Cascaded H-bridge Inverter with Supercapacitor and DC-DC Stage

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CES Transactions on Electrical Machines and systems 2024年第2期8卷 191-201页

作者： Ye Zhang Zixin Li Fanqiang Gao Cong Zhao Yaohua Li IEEE key laboratory of High Density Electromagnetic Power and systems(chinese academy of sciences) Institute of Electrical EngineeringChinese Academy of SciencesHaidian District University of chinese academy of sciences Shijingshan District

Cascaded H-bridge inverter(CHBI) with supercapacitors(SCs) and dc-dc stage shows significant promise for medium to high voltage energy storage applications. This paper investigates the voltage balance of capacitors within the CHBI, including both the dc-link capacitors and SCs. Balance control over the dc-link capacitor voltages is realized by the dcdc stage in each submodule(SM), while a hybrid modulation strategy(HMS) is implemented in the H-bridge to balance the SC voltages among the SMs. Meanwhile, the dc-link voltage fluctuations are analyzed under the HMS. A virtual voltage variable is introduced to coordinate the balancing of dc-link capacitor voltages and SC voltages. Compared to the balancing method that solely considers the SC voltages, the presented method reduces the dc-link voltage fluctuations without affecting the voltage balance of SCs. Finally, both simulation and experimental results verify the effectiveness of the presented method.

关键词： Cascaded H-bridge inverter(CHBI) Hybrid modulation strategy(HMS) Capacitor voltage balancing DClink voltage fluctuation Supercapacitor(SC)