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作者： Jin, Qinglong Chen, Wenjie School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing 100081 China

ISBN: (纸本)9789881725592

This paper presents an adaptive controller equipped with disturbance rejection capability for a 6 degrees of freedom (6-DOF) parallel manipulator. The control scheme is proposed given that the 6-DOF parallel manipulator system's parameters are all subject to uncertainties, and only the positions and the velocities of links are measurable. In this paper, the dynamics of the 6-DOF parallel manipulator is denoted in the Lagrange method, and, as well as an appropriate storage function, some important properties of the dynamics are derived to develop an adaptive controller which, by the penalty signal chosen, can drive the motion tracking error to zero asymptotically. Lyapunov theory is used to guarantee the stability of the system. Simulation results show that the 6-DOF adaptive control system has a good tracking performance in both normal and extreme limited working conditions. © 2011 Chinese Assoc of Automati.

关键词： Adaptive control systems

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A theorem for relationship between the MA process and its inversion for ARMAX identification

A theorem for relationship between the MA process and its in...

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作者： Xin, Bin Chen, Jie School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing 100081 China

ISBN: (纸本)9787894631046

The paper presents a theorem to show the relationship between the parameters of the Moving Average (MA) process and those of its inversed process. The theorem can be used for the parameter identification of the MA process. It is further shown in this paper that the parameter identification of autoregressive moving average with exogenous variable model (ARMAX), based on the identification of its MA part, can be easily achieved. The approach, at first, achieves the identification of the ARX part by directly using least-square estimations to find out a straightforward relationship between estimated parameters and observed data. Then, the inversed model of the MA part is identified in a similar way. Finally, the noise variance can be computed by using identified MA parameters. Numerical simulations validate the effectiveness and efficiency of the proposed approach.

关键词： Least squares approximations

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Detection of Stealthy False Data Injection Attacks Against Cyber-Physical systems:A Stochastic Coding Scheme

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Journal of systems Science & complexity 2022年第5期35卷 1668-1684页

作者： GUO Haibin PANG Zhonghua SUN Jian LI Jun State Key Lab of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of TechnologyBeijing 100081China Beijing Institute of Technology Chongging Innovation Center Chongqing 401120China Key Laboratory of Fieldbus Technology and Automation of Beijing North China University of TechnologyBeijing 100144China China Industrial Control Systems Cyber Emergency Response Team Beijing 100040China

This paper,from the view of a defender,addresses the security problem of cyber-physical systems(CPSs)subject to stealthy false data injection(FDI)attacks that cannot be detected by a residual-based anomaly detector without other defensive *** detect such a class of FDI attacks,a stochastic coding scheme,which codes the sensor measurement with a Gaussian stochastic signal at the sensor side,is proposed to assist an anomaly detector to expose the FDI *** order to ensure the system performance in the normal operational context,a decoder is adopted to decode the coded sensor measurement when received at the controller *** this detection scheme,the residual under the attack can be significantly different from that in the normal situation,and thus trigger an *** design condition of the coding signal covariance is derived to meet the constraints of false alarm rate and attack detection *** minimize the trace of the coding signal covariance,the design problem of the coding signal is converted into a constraint non-convex optimization problem,and an estimation-optimization iteration algorithm is presented to obtain a numerical solution of the coding signal covariance.A numerical example is given to verify the effectiveness of the proposed scheme.

关键词： Attack detection cyber-physical systems(CPSs) stealthy FDI attacks stochastic coding

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Virtual realization of dynamic path planning in target-creator based on Vega/HLA

Virtual realization of dynamic path planning in target-creat...

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作者： Zhu, Wenbin Zhang, Juan Yu, Haixin Peng, Zhihong School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing 100081 China

ISBN: (纸本)9789881725592

The importance of testing for multi-targets detecting and tracking algorithms accelerates the current technologies of target-creator system which provides multiple and various targets. Traditional target-creator systems are mostly based on the physical devices or video stream. Based on the need of building virtual environment and realizing system integration, VR technology and HLA technology are applied to improve the efficiency. With VR technology, three-dimensional models and visual scenes are built effectively and method of dynamic path planning is put forward. Through HLA technology, targets position information will be interacted real time, so algorithm evaluation is available by comparing real positions and detection results. In this paper, a virtual target-creator system based on Vega/HLA is designed which cuts down the outlay and time of the experiment. © 2011 Chinese Assoc of Automati.

关键词： Motion planning

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Modeling of GPS Code and Carrier Tracking Error in Multipath

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Chinese Journal of Electronics 2023年第1期21卷 78-84页

作者： Jie Chen Lan Cheng Minggang Gan Education Ministry Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Beijing China

The code tracking error model of coherent Code tracking loop (CTL) is modified since existing model cannot accurately describe the characteristic that the code tracking error is determined by multipath and correlator spacing in multipath. The noncoherent DOT-product (DOT) power mode CTL is established as a comparison with different CTLs in multipath. Besides, the carrier tracking error model is modified based on the established code tracking error models, which indicates that the carrier tracking error is also determined by the multipath and the correlator spacing. The presented error models indicate that the correlation between the code tracking error and carrier tracking error can be decorrelated. Theoretical analysis shows that the noncoherent DOT power mode CTL is essentially coherent when the discriminator output of carrier tracking loop is zero. The influence of multipath and correlator spacing on CTL and carrier tracking loop is analyzed by simulations.

关键词： Tracking loops Analytical models Codes Correlation US Department of Transportation Correlators Decorrelation

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Distributed solver for linear matrix inequalities: an optimization perspective

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control Theory and Technology 2021年第4期19卷 507-515页

作者： Weijian Li Wen Deng Xianlin Zeng Yiguang Hong Department of Automation University of Science and Technology of ChinaHefei 230027AnhuiChina Key Lab of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190China Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of TechnologyBeijing 100081China Department of Control Science and Engineering Tongji UniversityShanghai 201804China

In this paper,we develop a distributed solver for a group of strict(non-strict)linear matrix inequalities over a multi-agent network,where each agent only knows one inequality,and all agents co-operate to reach a consensus solution in the intersection of all the feasible *** formulation is transformed into a distributed optimization problem by introducing slack variables and consensus ***,by the primal–dual methods,a distributed algorithm is proposed with the help of projection operators and derivative ***,the convergence of the algorithm is analyzed,followed by illustrative simulations.

关键词： Distributed computation Distributed optimization Linear matrix inequalities Primal-dual method

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Research on Synthetic Data Generation and Multi-modal Target Detection

Research on Synthetic Data Generation and Multi-modal Target...

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第34届中国控制与决策会议

作者： Jiexi Liu Chenyu Wang Lei Xu Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision

Target Detection is one of the most important tasks in Computer Vision,which has broad application prospects in many *** the past few years,great progress has been made in this field with the rapid development of deep learning ***,it's still a big challenge at complex scenarios such as dim environment for traditional single-modal visible *** address this problem,researchers introduce thermal images as additional modal in consideration of that thermal cameras are less susceptible to interference and explore how to fuse the two modalities information ***,the lack of large labeled and high-quality visible-thermal datasets hampers the usage of convolutional neural networks for ***,we propose to use image-to-image translation model combined with a differentiable data augmentation method to generate fake thermal images from labeled visible images and use multi-modal target detection model to prove the validity of the *** experiment results show that our method can provide us a large labeled dataset of synthetic visible-thermal image pairs with better generalization and the introduction of thermal modality can obtain a better performance than single modality.

关键词： Image-to-image translation Multi-modal target detection Deep learning

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A Coefficient Matrix GPM method to Avoid Joint Limits for Fault Tolerant Redundant Manipulators 35

A Coefficient Matrix GPM method to Avoid Joint Limits for Fa...

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第35届中国控制会议

作者： LU Beibei GUO Shuli HAN Lina Key Lab of Complex System Intelligent Control and Decision School of Automation Beijing Institute of Technology Mathematical Institute University of Oxford Andrew Wiles Building Radcliffe Observatory Quarter Department of Cardiovascular Internal Medicine Nanlou Branch of Chinese PLA General Hospital

ISBN: (纸本)9781509009107

When joint failure occurs in a redundant manipulator,it is required that the end-effector(EEF) continues the trajectory with a minimum velocity *** problem has been studied by the joint velocity redistribution method which means mapping the velocity of the faulty joint into healthy joints'.This method can tolerant joint fault successfully but may make joints out of their *** the gradient projection method(GPM) is adopted to avoid the redistributed joint limits in this *** regard to the selection of the scalar coefficient of GPM,an improved method called the coefficient matrix is *** only can this method avoid joint limits successfully but also reduce the unnecessary self-motion and control the self-motion of each joint *** last the coefficient matrix method is tested in a seven-degree-of-freedom(7-DOF) manipulator and the simulation results indicate the efficiency of this method.

关键词： Redundant manipulators Joint failure Minimum EEF velocity jump Gradient projection method Coefficient matrix

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Cross-Membrane Penetration to Nucleus of Adherent Cells Using Micropipettes Made by Borosilicate Glass and Quartz 17

Cross-Membrane Penetration to Nucleus of Adherent Cells Usin...

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17th IEEE International Conference on Mechatronics and Automation, ICMA 2020

作者： Xu, Xinyue Liu, Xiaoming Lin, Yuqing Li, Pengyun Liu, Fengyu Tang, Xiaoqing Huang, Qiang Arai, Tatsuo Beijing Institute of Technology Key Laboratory of Biomimetic Robots and Systems Ministry of Education State Key Laboratory of Intelligent Control and Decision of Complex System Beijing Advanced Innovation Center for Intelligent Robots and Systems School of Mechatronical Engineering Beijing100081 China

ISBN: (纸本)9781728164151

In the biomicromanipulation field, single-cell manipulation is receiving attention due to its potential applications in many aspects of biomedicine. Cell injection, as a typical cell micromanipulation technique, is devoted to introducing foreign substances into living cells by penetrating a fine micropipette into cell membranes. Direct access to the intracellular environment, especially the nucleus, provides an ideal way to gain insight into the dynamic processes of living cells. This paper presents the comparison of controlled penetrations of two types of adherent cells and their nuclei by two types of micropipettes, made of borosilicate glass and quartz respectively. Due to the differences in the cell properties (e.g., height, adhesion strength), two corresponding penetration strategies optimizing the puncture angle and puncture height, are proposed to improve the success rate of the puncture process and the survival rate of cells after the puncture. Real nucleus puncture experiments adopting the optimal puncture strategy for each type of cells and carried out by a semi-automatic system, indicated a better puncture effect by quartz pipettes. Through this method, functional materials such as peptides and nanoparticles can be potentially introduced to perturb the cell activities and then realize its full automation. © 2020 IEEE.

关键词： Quartz

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Process Noise Estimator Based on Observation Sequence and its Application on Inertial Navigation system

Process Noise Estimator Based on Observation Sequence and it...

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2016 IEEE 13th International Conference on Signal Processing（ICSP2016）

作者： Xiao Xuan Huang Kun Yang Liming Liang Yuan Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology

Kalman filter has been extensively applied in vast areas. However, it is widely acknowledged that the performance of Kalman filter depends on the accuracy of priori information such as model structure, statistics information of process and observation noise. Obtaining the covariance matrix of process noise is difficult in some application *** such background, this paper presents a process noise estimation algorithm based on the noise observation sequence. By constructing a transform matrix and removing the state variables from the observation, the noise observation sequence can be established, through which the covariance matrix of process noise can be estimated. Comparing to conventional adaptive filter, this algorithm needs less calculation. Moreover,the noise estimation process is separated from Kalman filter thus ensures Kalman Filters independence and optimality. The simulation results show that the new algorithm can effectively estimate the process noise covariance, and remain uninfluenced by the initial condition.

关键词： Adapt Kalman filter noise estimate

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