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| 1 | Maneuvering Target Tracking in Dense Clutter Based on Particle Filtering显示文摘An improved particle filtering(IPF) is presented to perform maneuvering target tracking in dense clutter.The proposed filter uses several efficient variance reduction methods to combat particle degeneracy,low mode prior probabilities and measure-ment-origin uncertainty.Within the framework of a hybrid state estimation,each particle samples a discrete mode from its poste-rior distribution and the continuous state variables are approximated by a multivariate Gaussian mixture that is updated by an unscented Kalman filtering(UKF).The uncertainty of measurement origin is solved by Monte Carlo probabilistic data associa-tion method where the distribution of interest is approximated by particle filtering and UKF.Correct data association and precise behavior mode detection are successfully achieved by the proposed method in the environment with heavy clutter and very low mode prior probability.The performance of the proposed filter is examined and compared by Monte Carlo simulation over typical target scenario for various clutter densities.The simulation results show the effectiveness of the proposed filter. | YANG Xiaojun XING Keyi FENG Xingle | 2011 | Chinese Journal of Aeronautics2011，24，2： | 8 |
| 2 | Optimal deadlock avoidance Petri net supervisors for automated manufacturing systems显示文摘僵局回避问题为与灵活路由生产系统自动化被调查。基于系统的 Petri 网络模型,第一次,这篇论文建议完美的最大的资源转变电路和他们的浸透的状态的概念。这个概念便于实时海角描述和死锁回避 Petri 让监督人赚的系统的开发。僵局作为到达他们的浸透的状态的一些完美的 maximalresource 转变电路被描绘。为生产系统,它不包含中心资源的一个大班,最佳的僵局回避 Petri 网监督人被介绍。为一个一般生产系统,一个方法为减少 systemPetri 网络模型被建议以便减少的模型不包含中心资源并且因此,让最佳的死锁回避 Petri 捕捞监督人。控制减少的 Petri 网模型当时能是使用的著名计算机生产厂商他系统的实时海角监督人。 | Keyi XING Feng TIAN Xiaojun YANG | 2007 | 控制理论与应用(英文版)2007，5，2： | 7 |
| 3 | Robust Deadlock Avoidance Policy for Automated Manufacturing System With Multiple Unreliable Resources显示文摘This work studies the robust deadlock control of automated manufacturing systems with multiple unreliable resources. Our goal is to ensure the continuous production of the jobs that only require reliable resources. To reach this goal, we propose a new modified Banker's algorithm(MBA) to ensure that all resources required by these jobs can be freed. Moreover,a Petri net based deadlock avoidance policy(DAP) is introduced to ensure that all jobs remaining in the system after executing the new MBA can complete their processing smoothly when their required unreliable resources are operational. The new MBA together with the DAP forms a new DAP that is robust to the failures of unreliable resources. Owing to the high permissiveness of the new MBA and the optimality of the DAP, it is tested to be more permissive than state-of-the-art control policies. | Jianchao Luo Zhiqiang Liu Shuogang Wang Keyi Xing | 2020 | IEEE/CAA Journal of Automatica Sinica2020，7，3： | 4 |
| 4 | Joint state and parameter estimation in particle filtering and stochastic optimization显示文摘In this paper, an adaptive estimation algorithm is proposed for non-linear dynamic systems with unknown static parameters based on combination of particle filtering and Simultaneous Perturbation Stochastic Approximation (SPSA) technique. The estimations of parameters are obtained by maximum-likelihood estimation and sampling within particle filtering framework, and the SPSA is used for stochastic optimization and to approximate the gradient of the cost function. The proposed algorithm achieves combined estimation of dynamic state and static parameters of nonlinear systems. Simulation result demonstrates the feasibility and efficiency of the proposed algorithm. | Xiaojun YANG Keyi XING Kunlin SHI Quan PAN | 2008 | 控制理论与应用(英文版)2008，6，2： | 2 |
| 5 | Joint parameter and state estimation based on particle filtering and stochastic approximation显示文摘 | Yang Xiaojun Shi Kunlin Xing Keyi | 2008 | J Control Theory Appl2008，6，2： | 1 |
| 6 | Resource Transition Circuits and Siphons for Deadlock Control of Automated Manufacturing Systems显示文摘 | Xing Keyi Zhou Mengchu Wang Feng | 2011 | IEEE Transactions on Systems Man and Cybernetics Part A:Systems and Humans2011，41，1： | 1 |
| 7 | Deadlock avoidance policy for Petri net modeling of flexible manufacturing systems with shared resources显示文摘 | XING Keyi HU Baosheng CHEN Xiaoxun | 1996 | IEEE Transactions on Robotics and Automation1996，41，2： | 1 |
| 8 | Optimal Petri-net-based polynomial-complexity deadlock-avoidance policies for automated manufacturing systems显示文摘 | XING Keyi ZHOU Mengchu LIU Huixia | 2009 | IEEE Transactions on Systems Man and Cybernetics Part A:Systems and Humans2009，39，1： | 1 |
| 9 | Optimal petri- net - based polynomial - complexity deadlock - avoidance policies for automated mantffaeturing systems 显示文摘 | Keyi Xing Meng Chu Zhou Huixia Liu | 2009 | Systems Man and Cybernetics Part A IEEE Transactions on2009，39，1： | 1 |
| 10 | Mass Spectrometry Analysis of Newly Emerging Coronavirus HCoV-19 Spike Protein and Human ACE2 Reveals Camouflaging Glycans and Unique Post-Translational Modifications显示文摘The coronavirus disease 2019(COVID-19)pandemic has led to worldwide efforts to understand the biological traits of the newly identified human coronavirus(HCoV-19)virus.In this mass spectrometry(MS)-based study,we reveal that out of 21 possible glycosites in the HCoV-19 spike protein(S protein),20 are completely occupied by N-glycans,predominantly of the oligomannose type.All seven glycosylation sites in human angiotensin I converting enzyme 2(hACE2)were found to be completely occupied,mainly by complex N-glycans.However,glycosylation did not directly contribute to the binding affinity between HCoV-19 S protein and hACE2.Additional post-translational modification(PTM)was identified,including multiple methylated sites in both proteins and multiple sites with hydroxylproline in hACE2.Refined structural models of HCoV-19 S protein and hACE2 were built by adding N-glycan and PTMs to recently published cryogenic electron microscopy structures.The PTM and glycan maps of HCoV-19 S protein and hACE2 provide additional structural details for studying the mechanisms underlying host attachment and the immune response of HCoV-19,as well as knowledge for developing desperately needed remedies and vaccines. | Zeyu Sun Keyi Ren Xing Zhang Jinghua Chen Zhengyi Jiang Jing Jiang Feiyang Ji Xiaoxi Ouyang Lanjuan Li | 2021 | Engineering2021，7，10： | 0 |
| 11 | Quantum-Inspired Distributed Memetic Algorithm显示文摘This paper proposed a novel distributed memetic evolutionary model,where four modules distributed exploration,intensified exploitation,knowledge transfer,and evolutionary restart are coevolved to maximize their strengths and achieve superior global optimality.Distributed exploration evolves three independent populations by heterogenous operators.Intensified exploitation evolves an external elite archive in parallel with exploration to balance global and local searches.Knowledge transfer is based on a point-ring communication topology to share successful experiences among distinct search agents.Evolutionary restart adopts an adaptive perturbation strategy to control search diversity reasonably.Quantum computation is a newly emerging technique,which has powerful computing power and parallelized ability.Therefore,this paper further fuses quantum mechanisms into the proposed evolutionary model to build a new evolutionary algorithm,referred to as quantum-inspired distributed memetic algorithm(QDMA).In QDMA,individuals are represented by the quantum characteristics and evolved by the quantum-inspired evolutionary optimizers in the quantum hyperspace.The QDMA integrates the superiorities of distributed,memetic,and quantum evolution.Computational experiments are carried out to evaluate the superior performance of QDMA.The results demonstrate the effectiveness of special designs and show that QDMA has greater superiority compared to the compared state-of-the-art algorithms based on Wilcoxon’s rank-sum test.The superiority is attributed not only to good cooperative coevolution of distributed memetic evolutionary model,but also to superior designs of each special component. | Guanghui Zhang Wenjing Ma Keyi Xing Lining Xing Kesheng Wang | 2022 | Complex System Modeling and Simulation2022，2，4： | 0 |
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