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Chemical characteristics and sources of water-soluble organic aerosol in southwest suburb of Beijing

Journal of Environmental Sciences 2020年第9期32卷 99-110页

作者： Ruolan Hu Qingcheng Xu Shuxiao Wang Yang Hua Noshan Bhattarai Jingkun Jiang Yu Song Kaspar R.Daellenbach Lu Qi Andre S.H.Prevot Jiming Hao State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing 100084China State Key Joint Laboratory of Environment Simulation and Pollution Control Department of Environmental SciencePeking UniversityBeijing 100871China Laboratory of Atmospheric Chemistry Paul Scherrer Institute5232 VilligenSwitzerland Institute for Atmospheric and Earth System Research University of HelsinkiFinland

PM2.5 filter sampling and components measurement were conducted in autumn and winter from 2014 to 2015 at a suburban site(referred herein as "LLH site") located in the southwest of *** offline aerosol mass spectrometry(offline-AMS) analysis and positive matrix factorization(PMF) were applied for measurement and source apportionment of watersoluble organic aerosol(WSOA).Organic aerosol(OA) always dominated PM2.5 during the sampling period,especially in *** pollution was serious during the polluted period both in autumn(31.1 μg/m3) and winter(31.9 μg/m3),while WSOA accounted for 54.4%of OA during the polluted period in autumn,much more than that(21.3%) in *** oxidation degree of WSOA at LLH site was at a high level(oxygen-to-carbon ratio,O/C=0.91)and secondary organic aerosol(SOA) contributed more mass ratio of WSOA than primary organic aerosol(POA) during the whole observation *** winter,coal combustion OA(CCOA) was a stable source of OA and on average accounted for 25.1% of *** autumn,biomass burning OA(BBOA) from household combustion contributed 38.3% of WSOA during polluted *** addition to oxygenated OA(OOA),aqueous-oxygenated OA(aq-OOA) was identified as an important factor of *** heavy pollution period,the mass proportion of aq-OOA to WSOA increased significantly,implying the significant SOA formation through aqueous-phase *** result of this study highlights the concentration on controlling the residential coal and biomass burning,as well as the research needs on aqueous chemistry in OA formation.

关键词： pollution aerosol winter

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Application of feature matching in the vehicle violation detection in urban traffic

International Journal of Digital Content Technology and its ...

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International Journal of Digital Content Technology and its Applications 2012年第11期6卷 131-138页

作者： Ding, Huan Liu, Jin Zhao, Bo Zhang, Wensheng Dong, Wenyong State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Computer School Wuhan University China

Computer vision and video analytics become increasingly important for intelligent transport systems (ITSs), and violation detection is one of the key points in ITSs. It is widely recognized that image based systems are flexible and versatile for advanced traffic monitoring and enforcement applications. In the proposed method, we first locate the tails from the images captured by a stationary camera, and then SURF(Speeded Up Robust Features) feature points are extracted from these tail images. A matching based rough detection stage is taken place to identify the high risk tails which are seen as violations and the low risk tails which are omitted as regular vehicles. Finally, color and shape information are taken advantages of to accomplish violation detection in the undetermined vehicles in the previous stage. Experiments are conducted using real live video sequences captured from an urban cross road. Results show that our method can potentially have a good performance.

关键词： Vehicles

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Parallel control for Optimal Tracking via Adaptive Dynamic Programming

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IEEE/CAA Journal of Automatica Sinica 2020年第6期7卷 1662-1674页

作者： Jingwei Lu Qinglai Wei Fei-Yue Wang School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049 The State Key Laboratory for Management and Control of Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China IEEE State Key Laboratory for Management and Control of Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190 Institute of Systems Engineering Macao University of Science and TechnologyMacao 999078 Qingdao Academy of Intelligent Industries Qingdao 266109China

This paper studies the problem of optimal parallel tracking control for continuous-time general nonlinear *** existing optimal state feedback control,the control input of the optimal parallel control is introduced into the feedback ***,due to the introduction of control input into the feedback system,the optimal state feedback control methods can not be applied *** address this problem,an augmented system and an augmented performance index function are proposed ***,the general nonlinear system is transformed into an affine nonlinear *** difference between the optimal parallel control and the optimal state feedback control is analyzed *** is proven that the optimal parallel control with the augmented performance index function can be seen as the suboptimal state feedback control with the traditional performance index ***,an adaptive dynamic programming(ADP)technique is utilized to implement the optimal parallel tracking control using a critic neural network(NN)to approximate the value function *** stability analysis of the closed-loop system is performed using the Lyapunov theory,and the tracking error and NN weights errors are uniformly ultimately bounded(UUB).Also,the optimal parallel controller guarantees the continuity of the control input under the circumstance that there are finite jump discontinuities in the reference ***,the effectiveness of the developed optimal parallel control method is verified in two cases.

关键词： Adaptive dynamic programming(ADP) nonlinear optimal control parallel controller parallel control theory parallel system tracking control neural network(NN)

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Diffusion mechanism simulation of cloud manufacturing complex network based on cooperative game theory

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Journal of systems Engineering and Electronics 2018年第2期29卷 321-335页

作者： GENG Chao QU Shiyou XIAO Yingying WANG Mei SHI Guoqiang LIN Tingyu XUE Junjie JIA Zhengxuan Economics and Management School Harbin Institute of Technology at Weihai Beijing Complex Product Advanced Manufacturing Engineering Research Center Beijing Simulation Center State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System Engineering Science and Technology on Space System Simulation Laboratory Beijing Simulation Center

Cloud manufacturing is a specific implementation form of the "Internet + manufacturing" strategy. Why and how to develop cloud manufacturing platform(CMP), however, remains the key concern of both platform operators and users. A microscopic model is proposed to investigate advantages and diffusion forces of CMP through exploration of its diffusion process and mechanism. Specifically, a three-stage basic evolution process of CMP is innovatively proposed. Then, based on this basic process, a more complex CMP evolution model has been established in virtue of complex network theory, with five diffusion forces identified. Thereafter, simulations on CMP diffusion have been conducted. The results indicate that, CMP possesses better resource utilization,user satisfaction, and enterprise utility. Results of simulation on impacts of different diffusion forces show that both the time required for CMP to reach an equilibrium state and the final network size are affected simultaneously by the five diffusion forces. All these analyses indicate that CMP could create an open online cooperation environment and turns out to be an effective implementation of the "Internet + manufacturing" strategy.

关键词： complex network cloud manufacturing innovation diffusion network effect Gale-Shapley algorithm cooperative game theory

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Fault-Tolerant control of a CPG-Governed Robotic Fish

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Engineering 2018年第6期4卷 861-868页

作者： Yueqi Yang Jian Wang Zhengxing Wu Junzhi Yu State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100049China University of the Chinese Academy of Sciences Beijing 100049China

Fault tolerance is essential for the maneuverability of self-propelled biomimetic robotic fish in real-world aquatic *** paper explores the fault-tolerance control problem of a free-swimming robotic fish with multiple moving joints and a stuck tail *** created control system is composed of two main components:a feedback controller and a feedforward ***,the bio-inspired central pattern generator-based feedback controller is designed to make the robotic fish robust to external disturbances,while the feedforward compensator speeds up the convergence of the overall control *** are performed for control system analysis and performance validation of the faulty robotic *** experimental results demonstrate that the proposed fault-tolerant control method is able to effectively regulate the faulty robotic fish,allowing it to complete the desired motion in the presence of damage and thereby improving both the stability and the lifetime of the real robotic system.

关键词： Fault-tolerant control Robotic fish Motion control Feedback controller Feedforward compensator

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Mechanical Design and Dynamic Compliance control of Lightweight Manipulator

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International Journal of Automation and computing 2021年第6期18卷 926-934页

作者： Shao-Lin Zhang Yue-Guang Ge Hai-Tao Wang Shuo Wang State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China University of Chinese Academy of Sciences Beijing 100049China

In the existing modular joint design and control methods of collaborative robots, the inertia of the manipulator link is large,the dynamic trajectory planning ability is weak, the collision stop safety strategy is dependent, and the adaptability and safety to the changing environment are limited. This paper develops a six-degree-of-freedom lightweight collaborative manipulator with real-time dynamic trajectory planning and active compliance control. Firstly, a novel motor installation, joint transmission, and link design method is put forward to reduce the inertia of the links and improve intrinsic safety. At the same time, to enhance the dynamic operation capability and quick response of the manipulator, a smooth planning of position and orientation under initial/end pose and velocity constraints is proposed. The adaptability to the environment is improved by the active compliance control. Finally, experiments are carried out to verify the effectiveness of the proposed design, planning, and control methods.

关键词： Lightweight manipulator mechanical design dynamic trajectory planning compliance control robot control

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Adaptive Takagi-Sugeno fuzzy model and model predictive control of pneumatic artificial muscles

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Science China(Technological Sciences) 2021年第10期64卷 2272-2280页

作者： XIA XiuZe CHENG Long School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China State Key Laboratory for Management and Control of Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China

Pneumatic artificial muscles(PAMs)usually exhibit strong hysteresis nonlinearity and time-varying features that bring PAMs modeling and control *** characterize the hysteresis relation between PAMs’displacement and fluid pressure,a long short term memory(LSTM)neural network model and an adaptive Takagi-Sugeno(T-S)fuzzy model are *** show that both models perform well under the load free conditions,and the adaptive T-S Fuzzy model can furtherly adapt to the change of load with the online adaptation *** the concise expression and satisfactory performance of the adaptive T-S Fuzzy model,a model predictive controller is designed and *** show that the model predictive controller has a good performance on tracking the given references.

关键词： pneumatic artificial muscles adaptive T-S fuzzy model LSTM neural network model model predictive control

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Kinematic Comparison of Forward and Backward Swimming and Maneuvering in a Self-Propelled Sub-Carangiform Robotic Fish

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Journal of Bionic Engineering 2014年第2期11卷 199-212页

作者： Zhengxing Wu Junzhi Yu Min Tan Jianwei Zhang State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 P. R. China Department of Informatics University of Hamburg Hamburg Germany

We make a thorough kinematic comparison of forward and backward swimming and maneuvering on a self-propelled robot platform that uses sub-carangifbrm swimming as the primary propulsor. An improved Central Pattern Generator （CPG） model allowing free adjustment of phase relationship and directional bias is employed to achieve flexible swimming and smooth transition. Considering the characteristics of forward swimming in carangiform fish and backward swimming in anguilliform fish, various backward swimming patterns for the sub-carangiform robotic fish are suitably created by reversing the direction of propagating propulsive waves. Through a combined use of the CPG control and closed-loop swimming direction control strategy, flexible and precise turning maneuvers in both forward and backward swimming are implemented and compared. By contrast with forward swimming, backward swimming requires a higher frequency or an increased lateral displacement to reach the same relative swimming speed. Noticeably, the phase difference shows a greater impact on forward swimming than on backward swimming. Our observations also indicate that the robotic fish achieves a larger turning rate in forward maneuvering than in backward maneuvering, yet these two maneuvers display comparable turning precision.

关键词： robotic fish backward swimming Central Pattern Generator (CPG) swimming locomotion control

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A New Monocular Vision Measurement Method to Estimate 3D Positions of Objects on Floor

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International Journal of Automation and computing 2017年第2期14卷 159-168页

作者： Ling-Yi Xu Zhi-Qiang Cao Peng Zhao Chao Zhou State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China University of Chinese Academy of Sciences Beijing 101408China

A new visual measurement method is proposed to estimate three-dimensional （3D） position of the object on the floor based on a single camera. The camera fixed on a robot is in an inclined position with respect to the floor. A measurement model with the camera＇s extrinsic parameters such as the height and pitch angle is described. Single image of a chessboard pattern placed on the floor is enough to calibrate the camera＇s extrinsic parameters after the camera＇s intrinsic parameters are calibrated. Then the position of object on the floor can be computed with the measurement model. Furthermore, the height of object can be calculated with the paired-points in the vertical line sharing the same position on the floor. Compared to the conventional method used to estimate the positions on the plane, this method can obtain the 3D positions. The indoor experiment testifies the accuracy and validity of the proposed method.

关键词： Visual measurement, calibration, localization, position estimation monocular vision.

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Motion control and Motion Coordination of Bionic Robotic Fish： A Review

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Journal of Bionic Engineering 2018年第4期15卷 579-598页

作者： Junzhi Yu Ming Wang Huifang Dong Yanlu Zhang Zhengxing Wu State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China School of Information and Electrical Engineering Shandong Jianzhu University Jinan 250101 China

Fish＇s outstanding motion and coordination performance make it an excellent source of inspiration for scientists and engineers aiming to design and control next-generation autonomous underwater vehicles within the framework of bionics. This paper offers a general review of the current status of bionic robotic fish, with particular emphasis on the hydrodynamic modeling and testing, kinematic modeling and control, learning and optimization, as well as motion coordination control. Among these aspects, representative studies based on ideas and concepts inspired from fish motion and coordination are discussed. At last, the major challenges and the future research directions are addressed in the context of integration of various research streams from ichthyologic, hydrodynamic, mechanical, electronic, control, and artificial intelligence. Further development of bionic robotic fish can be utilized to execute some specific missions in complex underwater environments, where operations are unsafe or impractical for divers or conventional underwater vehicles.

关键词： bionic robotic fish motion control coordination control fish swimming learning and optimization

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