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Fluorescence and SEM correlative microscopy for nanomanipulation of subcellular structures

Light(Science & Applications) 2014年第1期3卷 13-19页

作者： Zheng Gong Brandon K Chen Jun Liu Chao Zhou Dave Anchel Xiao Li Ji Ge David P Bazett-Jones Yu Sun Advanced Micro and Nanosystems Laboratory University of TorontoTorontoON M5S 3G8Canada State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China The Genetics and Genome Biology Program the Hospital for Sick ChildrenTorontoON M5G 1X8Canada

Nanomanipulation under scanning electron microscopy(SEM)enables direct interactions of a tool with a *** recently developed a nanomanipulation technique for the extraction and identification of DNA contained within sub-nuclear locations of a single cell *** nanomanipulation of sub-cellular structures,a key step is to identify targets of interest through correlating fluorescence and SEM *** DNA extraction task must be conducted with low accelerating voltages resulting in low imaging *** is imposed by the necessity of preserving the biochemical integrity of the *** poor imaging conditions make the identification of nanometer-sized fiducial marks *** paper presents an affine scale-invariant feature transform(ASIFT)based method for correlating SEM images and fluorescence microscopy *** performance of the image correlation approach under different noise levels and imaging magnifications was quantitatively *** optimal mean absolute error(MAE)of correlation results is 68634 nm under standard *** with manual correlation by skilled operators,the automated correlation approach demonstrates a speed that is higher by an order of *** the SEM-fluorescence image correlation approach,targeted DNA was successfully extracted via nanomanipulation under SEM conditions.

关键词： correlative microscopy fluorescence image correlation nanomanipulation SEM subcellular structures

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Robust Attitude Coordination control for Satellite Formation with Matched Perturbations and Measurement Noises

Robust Attitude Coordination Control for Satellite Formation...

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American control Conference

作者： Xiangdong Liu Yaohua Guo Pingli Lu School of Automation BIT and the National Key Laboratory of Complex System Intelligent Control and Decision (BIT) China School of Automation BIT

ISBN: (纸本)9781479932757

In this paper, robust attitude coordination control for satellite formation is addressed in the presence of matched perturbations and measurement noise based on the development of reference model. The reference model generates a smooth and coordinated attitude reference trajectory(ART) for each satellite, which is favorable for the design of attitude tracking and formation keeping control law. The sliding mode control is applied such that the satellite formation controller is global robust against matched perturbations. To attenuate the influence of measurement noise on formation-keeping(i.e., H_∞-type performance), linear matrix inequality(LMI) method is used to design sliding-mode parameters. Finally, a numerical example is introduced to illustrate the efficiency of the proposed method.

关键词： Satellites Noise Attitude control Noise measurement Subspace constraints Trajectory Robustness

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Distributed Attitude Coordinated Tracking control for Multi-group Spacecrafts Based On Input Normalized Adaptive Neural Network

Distributed Attitude Coordinated Tracking Control for Multi-...

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American control Conference

作者： Xiangdong Liu Chao Gan Pingli Lu School of Automation BIT and the National Key Laboratory of Complex System Intelligent Control and Decision (BIT) China School of Automation BIT

ISBN: (纸本)9781479932757

In this paper, the distributed attitude coordinated tracking controller is presented for multi-group spacecrafts based on input normalized adaptive neural network. In contrast to the existing works about spacecraft formation flying(SFF), where all spacecrafts reach the same reference attitude asymptotically, we require that all spacecrafts track several leaders and each spacecraft only synchronize within its group leader, respectively. A distributed finite time observer is proposed for each spacecraft to obtain an accurate estimation of its corresponding reference attitude. A distributed attitude coordination controller based on input normalized neural network is proposed to guarantee that the whole spacecrafts track their corresponding reference attitude cooperatively. Based on Lyapunov theory, the stability of the overall closed-loop system is guaranteed, and numerical simulations are shown to demonstrate the effectiveness of the proposed controller.

关键词： SFF Distributed Attitude Coordinated Tracking control Multi-group Spacecrafts Based Spacecraft adaptive neural network tracking control Attitude ENTERING tracking controller Induction loop systems Distribute

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Color moving object detection method based on automatic color clustering

Color moving object detection method based on automatic colo...

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Chinese control Conference (CCC)

作者： Jing Li Junzheng Wang Jiali Mao Key Laboratory of Complex System Intelligent Control and Decision School of Automation Beijing Institute of Technology Beijing Beijing CN

Moving object detection is usually used in gray image, and the color image should be converted to gray images to achieve detection. However, the color object can't be described by simple gray information completely. In order to achieve automatic color moving object detection, the method based on automatic color clustering is especially proposed. Because the difference between adjacent pixels in an image is very small, the initial cluster center can be moved in the maximum distance. The proposed method can reduce the number of iterations and quicken convergence speed, meanwhile determine the number of color cluster and the location of the color object automatically. The proposed algorithm is validated in the actual system, experimental results show that the proposed method can automatically achieve color clustering for color image, while detect color objects.

关键词： Image color analysis Clustering algorithms Image segmentation Color Classification algorithms Object segmentation Object detection

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Optimal Hierarchical Allocation in Deregulated Electricity Market under PSP Auction Mechanism

Optimal Hierarchical Allocation in Deregulated Electricity M...

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第26届中国控制与决策会议

作者： Zhongjing Ma Yingying Cui School of Automation Beijing Institute of Technology (BIT)and the National Key Laboratory of Complex System Intelligent Control and Decision (BIT) School of Automation BIT

ISBN: (纸本)9781479937097

In hierarchical electricity market, the retailers buy electricity from generation provider and then sell it to users. Retailers play an important role in the distribution channel by matching supply and demand, but they also potentially cause inefficiencies in electricity allocation. To induce an efficient allocation of electricity, we propose a novel hierarchical distributed method under PSP auction mechanism. Under this mechanism, each of players, either the generation provider or the retailers, obtains their electricity allocation through the PSP auction method by submitting a multi-dimensional bid profile, instead of telling their private cost or valuation function, then the retailers economically distribute the electricity, acquired in the PSP auction, among users. Moreover, the valuation function of retailers depends on the revenues that they sell the electricity to users. As a main result, in this paper we show that there exists an efficient Nash equilibrium (NE) for the underlying auction games.

关键词： Deregulated electricity market Hierarchical allocation PSP auction mechanism Efficient allocation Nash equilibrium Nash equilibrium Electricity power markets REG1A gene Postsynaptic Potentials BPIFA2 gene RIDA gene cost accounting Hierarchical Consumers

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Improved ICCP algorithm and its application in gravity matching aided inertial navigation system

Improved ICCP algorithm and its application in gravity match...

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Chinese control Conference (CCC)

作者： Meiqi Liu Bo Wang Zhihong Deng Mengyin Fu School of Automation and National Key Laboratory of Intelligent Control and Decision of Complex System Beijing Institute of Technology Beijing Beijing CN

Considering two disadvantages in traditional gravity matching aided inertial navigation system, low matching accuracy and error accumulation, we propose an improved gravity matching algorithm and aided method for inertial navigation system. Instead of using the sequence sampling, the single point sampling is applied to improve the structure of proposed algorithm, enhancing the matching speed and efficiency. In the aided navigation system method, we use combination of Sage-Husa adaptive filter and strong-tracked Kalman filter to make further optimal estimation of the matching trajectory. Simulation results show the effectiveness of the real-time ICCP algorithm and the combined filter algorithm. Comparing to the traditional methods, proposed method provides higher matching and navigation accuracy.

关键词： Gravity Filtering algorithms Algorithm design and analysis Navigation Accuracy Filtering theory

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complex Terrain Perception based on Hidden Markov Model

Complex Terrain Perception based on Hidden Markov Model

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IEEE International Conference on intelligent Transportation systems

作者： Meiling WANG Liang ZUO Yi YANG Qiangrong YANG Tong LIU School of Automation Beijing Institute of Technology Beijing China Key Laboratory of Intelligent Control and Decision of Complex System Beijing China

Terrain perception in complex environment is important for Autonomous Land Vehicle to drive automatically. In order to access the terrain information, in this paper, we present a terrain perception method based on Hidden Markov Model (HMM) which combines LIDAR with machine vision. On the basis of spatial fan-shaped model, terrain feature extraction is performed to acquire the observation model. Hidden markov models describe the vertical structure of the driving space and Viterbi algorithm is used for terrain classification. Then the navigation decision is given based on the perception of the complex environment. Experiment results show that the method can give an accurate environment description for ALV.

关键词： terrain perception sensor fusion feature extraction principal component analysis multihidden markov models

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Hybrid optimization of dynamic deployment for networked fire control system

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Journal of systems Engineering and Electronics 2013年第6期24卷 954-961页

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

With applying the information technology to the military field, the advantages and importance of the networked combat are more and more obvious. In order to make full use of limited battlefield resources and maximally destroy enemy targets from arbitrary angle in a limited time, the research on firepower nodes dynamic deployment becomes a key problem of command and control. Considering a variety of tactical indexes and actual constraints in air defense, a mathematical model is formulated to minimize the enemy target penetration probability. Based on characteristics of the mathematical model and demands of the deployment problems, an assistance-based algorithm is put forward which combines the artificial potential field （APF） method with a memetic algorithm. The APF method is employed to solve the constraint handling problem and generate feasible solutions. The constrained optimization problem transforms into an optimization problem of APF parameters adjustment, and the dimension of the problem is reduced greatly. The dynamic deployment is accomplished by generation and refinement of feasible solutions. The simulation results show that the proposed algorithm is effective and feasible in dynamic situation.

关键词： deployment optimization artificial potential field （APF） constraint handling generation of feasible solutions memetic algorithm

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Distributed stereoscopic rotating formation control of networks of second-order agents

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Journal of systems Engineering and Electronics 2013年第3期24卷 480-487页

作者： Li Song Qinghe Wu Di Yu Yinqiu Wang Key Laboratory of Complex System Intelligent Control and Decision(Ministry of Education) School of AutomationBeijing Institute of Technology School of Automation Beijing Institute of Technology

Distributed stereoscopic rotating formation control of networks of second-order agents is investigated. A distributed control protocol is proposed to enable all agents to form a stereoscopic formation and surround a common axis. Due to the existence of the rotating mode, the desired relative position between every two agents is time-varying, and a Lyapunov-based approach is employed to solve the rotating formation control problem. Finally, simulation results are provided to illustrate the effectiveness of the theoretical results.

关键词： multi-agent system collective motion stereoscopic rotating formation control.

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Line-element based nonlinear adaptive piecewise compensating correction for LVDT sensors

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Journal of Beijing Institute of Technology 2013年第4期22卷 497-503页

作者：王立鹏王军政赵江波吴江丰 Key Laboratory of Intelligent Control and Decision of Complex System School of Automation Beijing Institute of Technology

In order to solve the linear variable differential transformer （LVDT） displacement sensor nonlinearity of overall range and extend its working range, a novel line-element based adaptively seg- menting method for piecewise compensating correction was proposed. According to the mechanical structure of LVDT, the output equation was calculated, and then the theoretic nonlinear source of output was analyzed. By the proposed line-element adaptive segmentation method, the nonlinear output of LVDT was divided into linear and nonlinear regions with a given threshold. Then the com- pensating correction function was designed for nonlinear parts employing polynomial regression tech- nique. The simulation of LVDT validates the feasibility of proposed scheme, and the results of cali- bration and testing experiments fully prove that the proposed method has higher accuracy than the state-of-art correction algorithms.

关键词： line element adaptively segment linear variable differential transformer （LVDT） non-linear compensation correction

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