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Cooperative guidance law with maneuverability awareness:A decentralized solution

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Chinese Journal of Aeronautics 2024年第7期37卷 450-457页

作者： Shuyang XU xun SONG Chaoyong li College of Electrical Engineering Zhejiang UniversityHangzhou 310027China Beijing Institute of Electronic System Engineering Beijing 100074China

In this paper,we propose a cooperative guidance law aimed to achieve coordinated impact angles with limited observation on target *** primary challenge lies in establishing an appropriate communication graph among all missiles and devising an algorithm to estimate target acceleration information during *** address this,we propose a specific communication topology and employ a numerical integration-based estimation ***,a distributed algorithm is introduced to facilitate consensus on target acceleration *** upon these foundations,we design an optimal-control-based distributed guidance law for each *** of the proposed guidance law is validated through numerical simulations.

关键词： Cooperative guidance Target maneuver estimation Distributed estimation Consensus Optimal control

A novel evasion guidance for hypersonic morphing vehicle via intelligent maneuver strategy

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Chinese Journal of Aeronautics 2024年第5期37卷 441-461页

作者： xun li Xiaogang WANG Hongyu ZHOU Yu li Department of Aerodynamics Harbin Institute of TechnologyHarbin 150001China Beijing Aerospace Technology Institute Beijing 100074China

This paper presents a novel evasion guidance law for hypersonic morphing vehicles,focusing on determining the optimized wing's unfolded angle to promote maneuverability based on an intelligent ***,the pursuit-evasion problem is modeled as a Markov decision *** the agent's action consists of maneuver overload and the unfolded angle of wings,which is different from the conventional evasion guidance designed for fixed-shape *** reward function is formulated to ensure that the miss distances satisfy the prescribed bounds while minimizing energy ***,to maximize the expected cumulative reward,a residual learning method is proposed based on proximal policy optimization,which integrates the optimal evasion for linear cases as the baseline and trains to optimize the performance for nonlinear engagement with multiple ***,offline training guarantees improvement of the constructed evasion guidance law over conventional ***,the guidance law for online implementation includes only analytical *** maps from the confrontation state to the expected angle of attack and the unfolded angle while retaining high computational *** show that the proposed evasion guidance law can utilize the change of unfolded angle to extend the maximum overload *** it surpasses conventional maneuver strategies by ensuring better evasion efficacy and higher energy efficiency.

关键词： Hypersonic vehicles Variable-sweep wings Evasion guidance Reinforcement learning Pursuit-evasion problem

Perspective on new cell-free DNA technologies for early cancer detection

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Cancer Biology & Medicine 2024年第2期21卷 139-143页

作者： Jie li xun Lan Department of Basic Medical Sciences School of MedicineTsinghua UniversityBeijing 100084China MOE Key Laboratory of Bioinformatics Tsinghua UniversityBeijing 100084China Tsinghua-Peking Joint Center for life Sciences Tsinghua UniversityBeijing 100084China

High cancer heterogeneity and aggressiveness are major factors contributing to the poor prognosis of patients with advanced cancer~(1-5).Early detection of cancer can significantly improve the prognosis of patients with early-stage cancer after standard *** traditional cancer detection technologies,such as endoscopy for gastrointestinal cancer,mammography for breast cancer。

关键词： prognosis cancer patients

Effects of Number of Bleed Holes on Shock-Wave/Boundary-Layer Interactions in a Transonic Compressor Stator

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Journal of Thermal Science 2024年第2期33卷 611-624页

作者： li Bai ZHOU xun LUO Lei DU Wei School of Energy Science and Engineering Harbin Institute of TechnologyHarbin150001China

An extensive numerical investigation is conducted to characterize the flow separation control in a transonic compressor cascade with a porous *** bleed holes are arranged on the suction surface in a single row,two staggered rows and three staggered *** each bleed scheme,five bleed pressure ratios are examined at an inlet Mach number of *** results indicate that the aerodynamic performance of the cascade is significantly improved by the porous *** the single-row scheme,the maximum reduction in total pressure losses is 57%.For the two-staggered-row and three-staggered-row schemes,there is an optimal bleed pressure ratio of 1.0,and the maximum reductions in total pressure loss are 68% and 75%,*** low loss in the cascade is due to the well-controlled boundary *** new local supersonic region created by the bleed hole is the key reason for the improved boundary *** vortex induced by side bleeding provides another mechanism for delaying flow *** the bleed holes could create multiple local supersonic regions,which reduce the range of the adverse pressure gradient that the boundary layer needs to *** is the reason why cascades with more bleed holes perform better.

关键词： transonic compressor stator shock wave/boundary layer interaction porous bleed number of bleed holes

Treatment Options for Hepatocellular Carcinoma Using Immunotherapy: Present and Future

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Journal of Clinical and Translational Hepatology 2024年第4期12卷 389-405页

作者： Hongbin Wei Chunlu Dong xun li The First School of Clinical Medicine Lanzhou UniversityLanzhouGansuChina The First Hospital of Lanzhou University LanzhouGansuChina Key Laboratory Biotherapy and Regenerative Medicine of Gansu Province LanzhouGansuChina Cancer Prevention and Treatment Center of Lanzhou University School of Medicine LanzhouGansuChina Hepatopancreatobiliary Surgery Institute of Gansu Province LanzhouGansuChina Clinical Research Center for General Surgery of Gansu Province LanzhouGansuChina

Hepatocellular carcinoma(HCC)is a common cancer,and the body’s immune responses greatly affect its progression and the prognosis of *** suppression and the maintenance of self-tolerance in the tumor microenvironment are essential responses,and these form part of the theoretical foundations of *** this review,we first discuss the tumor microenvironment of HCC,describe immunosuppression in HCC,and review the major biomarkers used to track HCC progression and response to *** then examine antibody-based therapies,with a focus on immune checkpoint inhibitors(ICIs),monoclonal antibodies that target key proteins in the immune response(programmed cell death protein 1,anti-cytotoxic T-lymphocyte associated protein 4,and programmed deathligand 1)which have transformed the treatment of HCC and other *** may be used alone or in conjunction with various targeted therapies for patients with advanced HCC who are receiving first-line treatments or subsequent *** also discuss the use of different cellular immunotherapies,including T cell receptor(TCR)T cell therapy and chimeric antigen receptor(CAR)T cell *** then review the use of HCC vaccines,adjuvant immunotherapy,and oncolytic virotherapy,and describe the goals of future research in the development of treatments for HCC.

关键词： Hepatocellular carcinoma liver cancer Immunotherapy Vaccines

Distributed Economic MPC for Synergetic Regulation of the Voltage of an Island DC Micro-Grid

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IEEE/CAA Journal of Automatica Sinica 2024年第3期11卷 734-745页

作者： Yi Zheng Yanye Wang xun Meng Shaoyuan li Hao Chen IEEE the Department of Automation Shanghai Jiao Tong UniversityShanghai 200240 the Key Laboratory of System Control and Information Processing Ministry of Education of ChinaShanghai 200240China Haixi Institutes Chinese Academy of SciencesJinjiang 362216China

In this paper,distributed model predictive control(DMPC) for island DC micro-grids(MG) with wind/photovoltaic(PV)/battery power is proposed,which coordinates all distributed generations(DG) to stabilize the bus voltage together with the insurance of having computational efficiency under a real-time *** on the feedback of the bus voltage,the deviation of the current is dispatched to each DG according to cost over the prediction ***,to avoid the excessive fluctuation of the battery power,both the discharge-charge switching times and costs are considered in the model predictive control(MPC) optimization problems.A Lyapunov constraint with a time-varying steady-state is designed in each local MPC to guarantee the stabilization of the entire *** voltage stabilization of the MG is achieved by this strategy with the cooperation of *** numeric results of applying the proposed method to a MG of the Shanghai Power Supply Company shows the effectiveness of the distributed economic MPC.

关键词： Distributed model predictive control(DMPC) Lyapunovbased model predictive control micro-grid(MG) voltage control

Effects of data smoothing and recurrent neural network(RNN)algorithms for real-time forecasting of tunnel boring machine(TBM)performance

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第5期16卷 1538-1551页

作者： Feng Shan xuzhen He Danial Jahed Armaghani Daichao Sheng School of Civil and Environmental Engineering University of Technology SydneyNSW2007Australia

Tunnel boring machines(TBMs)have been widely utilised in tunnel construction due to their high efficiency and *** predicting TBM performance can improve project time management,cost control,and risk *** study aims to use deep learning to develop real-time models for predicting the penetration rate(PR).The models are built using data from the Changsha metro project,and their performances are evaluated using unseen data from the Zhengzhou Metro *** one-step forecast,the predicted penetration rate follows the trend of the measured penetration rate in both training and *** autoregressive integrated moving average(ARIMA)model is compared with the recurrent neural network(RNN)*** results show that univariate models,which only consider historical penetration rate itself,perform better than multivariate models that take into account multiple geological and operational parameters(GEO and OP).Next,an RNN variant combining time series of penetration rate with the last-step geological and operational parameters is developed,and it performs better than other models.A sensitivity analysis shows that the penetration rate is the most important parameter,while other parameters have a smaller impact on time series *** is also found that smoothed data are easier to predict with high ***,over-simplified data can lose real characteristics in time *** conclusion,the RNN variant can accurately predict the next-step penetration rate,and data smoothing is crucial in time series *** study provides practical guidance for TBM performance forecasting in practical engineering.

关键词： Tunnel boring machine(TBM) Penetration rate(PR) Time series forecasting Recurrent neural network(RNN)

Bi-Level Bidding and Multi-Energy Retail Packages for Integrated Energy Service Providers Considering Multi-Energy Demand Elasticity

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CSEE Journal of Power and Energy Systems 2024年第4期10卷 1761-1774页

作者： xun Dou Jun Wang Qinran Hu Yang li College of Electrical Engineering and Control Science Nanjing Tech UniversityNanjing 211816China School of Electrical Engineering Southeast UniversityNanjing 210096China

How to effectively use the multi-energy demand elasticity of users to bid in the multi-energy market and formulate multi-energy retail packages is an urgent problem which needs to be solved by integrated energy service providers(IESPs)to attract more users and reduce operating *** paper presents a unified clearing of electricity and natural gas based on a bi-level bidding and multi-energy retail price formulation method for IESPs considering multi-energy demand ***,we propose an operating structure of IESPs in the wholesale and retail energy *** multi-energy demand elasticity model of retail-side users and a retail price model for electricity,gas,heat and cooling are ***,a bi-level bidding model for IESPs considering multi-energy demand elasticity is established to provide IESPs with wholesale-side bidding decisions and retail-side energy retail price ***,an example is given to verify the proposed *** results show that the method improves the total social welfare of the electricity and natural gas markets by 7.99%and the profit of IESPs by 1.40%.It can reduce the variance of the electricity,gas,and cooling load curves,especially the reduction of the variance of the electricity load curve can which reach 79.90%.It can be seen that the research in this paper has a positive effect on repairing the limitations of integrated energy trading research and improving the economics of the operation of IESPs.

关键词： Bi-level bidding integrated energy service providers multi-energy demand elasticity multi-energy retail packages unified clearing of electricity and natural gas

Real-time identification of multiple nanoclusters with a protein nanopore in single-cluster level

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Nano Research 2024年第1期17卷 262-269页

作者： ling Zhang Peilei He Huang Chen Qingda liu libo li xun Wang Jinghong li Department of Chemistry Center for BioAnalytical ChemistryKey Laboratory of Bioorganic Phosphorus Chemistry&Chemical BiologyTsinghua UniversityBeijing 100084China School of Chemistry and Chemical Engineering Guangdong Prov Key Lab Green Chem Prod TechnolSouth China University of TechnologyGuangzhou 510640China New Cornerstone Science Laboratory Shenzhen 518054China Beijing Institute of life Science and Technology Beijing 102206China Center for BioAnalytical Chemistry Hefei National Laboratory of Physical Science at MicroscaleUniversity of Science and Technology of ChinaHefei 230026China

It is important and challenging to analyze nanocluster structure with atomic ***,α-hemolysin nanopore was used to identify nanoclusters at the single molecule level by providing two-dimensional(2D)dwell time–current blockage spectra and translocation event frequency which sensitively depended on their *** such as Anderson,Keggin,Dawson,and a few lacunary Dawson polyoxometalates with very similar structures,even with only a two-atom difference,could be *** nanopore device could simultaneously measure multiple nanoclusters in a mixture qualitatively and ***,molecular dynamics(MD)simulations provided microscopic understandings of the nanocluster translocation dynamics and yielded 2D dwell time–current blockage spectra in close agreement with *** nanopore platform provides a novel powerful tool for nanocluster characterization.

关键词： nanopore single-molecule nanocluster polyoxometalates real-time detection