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arXiv 2018年

作者： Li, Wenqing Zhao, Chunhui Huang, Biao State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou310027 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Department of Chemical and Materials Engineering University of Alberta EdmontonABT6G-2V4 Canada

For large-scale industrial processes under closed-loop control, process dynamics directly resulting from control action are typical characteristics and may show different behaviors between real faults and normal changes of operating conditions. However, conventional distributed monitoring approaches do not consider the closed-loop control mechanism and only explore static characteristics, which thus are incapable of distinguishing between real process faults and nominal changes of operating conditions, leading to unnecessary alarms. In this regard, this paper proposes a distributed monitoring method for closed-loop industrial processes by concurrently exploring static and dynamic characteristics. First, the large-scale closed-loop process is decomposed into several subsystems by developing a sparse slow feature analysis (SSFA) algorithm which capture changes of both static and dynamic information. Second, distributed models are developed to separately capture static and dynamic characteristics from the local and global aspects. Based on the distributed monitoring system, a two-level monitoring strategy is proposed to check different influences on process characteristics resulting from changes of the operating conditions and control action, and thus the two changes can be well distinguished from each other. Case studies are conducted based on both benchmark data and real industrial process data to illustrate the effectiveness of the proposed method. Copyright © 2018, The Authors. All rights reserved.

关键词： Process monitoring

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Design and Implementation of a Magnetically Actuated Miniature Robotic Fish

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IFAC-PapersOnLine 2017年第1期50卷 6851-6856页

作者： Chen X. Wu Z. Zhou C. Yu J. University of Chinese Academy of Sciences Bejing 100049 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

At present, most of bio-inspired robotic fish are designed with large sizes and actuated by electric motors. In this paper, an 89-mm-long robotic fish is designed and built, which is capable of swimming fast and turning flexibly. This miniature robotic fish is intended to be used as a tool for animal behavioral research and special underwater missions. Compared with traditional design, the propulsion system is characterized by no motor, which is a magnetic actuator. Bluetooth low energy is utilized for remote control, allowing convenient operation via smart devices. By means of law of electromagnetic induction, the relationship between current and magnetic induction intensity is explored. Further, a novel tail-beat rhythm for magnetic actuator is proposed. Meanwhile, a dynamic modeling of fishlike swimming is constructed based on a Lagrange approach to analyze its propulsive performance. Finally, aquatic experiments verify the effectiveness of the formulated magnetically actuated design scheme along with the conducted theoretical analyses. © 2017

关键词： Dynamic modeling Magnetic actuator Robotic fish Underwater robot

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Autonomous RC-Car for Education Purpose in iSTEM Projects

Autonomous RC-Car for Education Purpose in iSTEM Projects

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IEEE Symposium on intelligent Vehicle

作者： WeiHang Feng Yun Pei Bin Hai WuLing Huang XiaoYan Gong Fenghua Zhu Beijing NO.161 High School Jilin University Beijing Institute Of Fashion Technology State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781538644539

Software simulation and real environment running parallel execution is a lately proposed method, which also provides full coverage and convenience to accomplish autonomous driving education purpose. This paper introduces a new high-school iSTEM program of autonomous vehicles education. This program uses a Scaled RC-Car platform with several sensors and Raspberry Pi embedded platform, to build an autonomous driving car in scaled indoor simulation environment. The RC-Car is capable of safely autonomous driving. Many existing algorithms are put together to provide the necessary functions of autonomous driving, such lane detection, obstacle detection, lane following, vehicle control etc. In this paper, we provide the details of this program, hardware and software components of the RC-Car, Deep learning end-to-end approaching of algorithm deployment, and future works.

关键词： Education Autonomous vehicles Roads Sensors Automobiles Software Testing

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Pipeline Scene Reconstruction Based on Image Mosaicing

Pipeline Scene Reconstruction Based on Image Mosaicing

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Chinese control Conference (CCC)

作者： Zishu Gao En Li Lei Yang Zize Liang The University of Chinese Academy of Sciences Institute of Automation Chinese Academy of Sciences Beijing China The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

Robots should be able to perceive the surroundings in the complicated and unknown environment before carrying out further navigation. Consequently, environmental reconstruction is the premise for the robot autonomous operations. In this paper, a pipeline scene reconstruction method based on image mosaicing is proposed for cylindrical pipeline environment. With a wide-angle camera, the image sequence of the pipeline environment is captured. In order to obtain intuitional environmental information around the pipeline, an unwrapped model is proposed to unfold the distorted raw image to corrected flat surface image. By utilizing ORB (Oriented FAST and Rotated BRIEF) and weighted smoothing blending algorithm, image mosaicing with sequence frames are performed to realize scene reconstruction. The experimental results demonstrate that the proposed algorithm can achieve seamless stitching of pipeline image, and the number of keypoints is prominently decreased in comparison to that of FAST operator, while the quality of keypoints is improved. Compared with the classical SIFT and SURF operator, the time-consuming of the algorithm is improved about 2.5 times, which is more suitable for real-time environmental reconstruction.

关键词： Pipelines Lenses Image reconstruction Cameras Robots Feature extraction

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A Dual-Mode Real-Time Lip-Sync System for a Bionic Dinosaur Robot

A Dual-Mode Real-Time Lip-Sync System for a Bionic Dinosaur ...

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Chinese Automation Congress (CAC)

作者： Shuaizheng Yan Jiasheng Hao Zhengxing Wu The State Key Laboratory of Management and Control for Complex Systems Institute of Automation University of Chinese Academy of Sciences Beijing China School of Automation Engineering University of Electronic Science and Technology of China Chengdu China

This paper provides a dual-mode real-time lip-sync system for a bionic dinosaur robot. Different from traditional mono-modality control systems, our system is constructed with different controllers and classifiers in both time domain and frequency domain. Specially, a classifier in time domain is designed to extract the sound features including pitch and intensity. Meanwhile, a nonlinear mapping relationship between time-domain feature parameters and mouth open angles is particularly designed. In time domain, an efficient algorithm consisting of original and modified short-term average amplitude difference function (AMDF) is applied for frequency measurement. With the goal of predicting the curve of mouth open, we train the audio data of dinosaurs to get a frequency classifier by Support Vector Machine with racial basis function (RBF-SVM), which has a relatively high accuracy. Finally, extensive experiments validate the effectiveness of this proposed system on a real bionic dinosaur robot.

关键词： Dinosaurs Robots Mouth Time-domain analysis Face Frequency-domain analysis Feature extraction

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UAV assisted bridge defect inspection system 3rd

UAV assisted bridge defect inspection system

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3rd International Conference on Intelligence Science, ICIS 2018

作者： Yang, Shuzhan Shen, Zhen Wang, Xiao Bai, Tianxiang Ji, Yingliang Jiang, Yuyi Liu, Xiwei Dong, Xisong Li, Chuanfu Han, Qi Lu, Jian Xiong, Gang State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China Qingdao Academy of Intelligent Industries Qingdao266109 China College of Engineering Peking University Beijing100871 China University of Chinese Academy of Sciences Beijing100049 China Cloud Computing Center Chinese Academy of Sciences Dongguan523808 China Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Beijing100190 China Qingdao Expressway Qingdao266041 China Guangdong Launca Medical Device Technology Co. Ltd. Dongguan523808 China

ISBN: (纸本)9783030013127

Traditional bridge inspection methods require lane closures, inspection equipment, and most importantly the experiences and knowledge of the inspectors. This increases not only the inspection cost and time, but also the risk to the travelling public. Due to the lengthy and costly traditional bridge inspection methods, there has been an increasing backlog of inspection activities. In this research, we design an unmanned aerial vehicle (UAV) assisted bridge defect inspection system, in which a UAV can capture the image and transmit the information to the ground station for further analysis. The system can be divided into 2 subsystems: electromechanics & communication system, and image processing system. The electromechanics & communication systems ensure the self-locating, flight control, image transmission, and human intervention functions. The image processing system performs the image preprocessing, defect extraction, and provides the inspection report. This system, if put into practice, can save the cost up to 70%. We believe that the UAV assisted bridge inspection can be popular in the future. © IFIP International Federation for Information Processing 2018.

关键词： Image processing

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The 3D point clouds registration for human foot 3rd

The 3D point clouds registration for human foot

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3rd International Conference on Intelligence Science, ICIS 2018

作者： Xie, Yi Shang, Xiuqin Li, Yuqing Liu, Xiwei Zhu, Fenghua Xiong, Gang Pirttikangas, Susanna Zhou, Jiehan School of Electrical and Electronic Engineering The University of Manchester ManchesterM13 9PL United Kingdom The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China Cloud Computing Center Chinese Academy of Sciences DongguanGuangdong China College of Information Science and Technology Beijing University of Chemical Technology Beijing China Qingdao Academy of Intelligent Industries Qingdao China Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Beijing100190 China The Center for Ubiquitous Computing University of Oulu Oulu Finland

ISBN: (纸本)9783030013127

For personalized design it is important to be able to collect, measure and evaluate individual properties of human beings. This paper proposes registration for the point clouds during foot 3D scanning. In the experiment, we get the point clouds of the human foot from the Artec 3D scanner and complete the registration of the point clouds from different visual angles. Dealing with the customized footwear, we choose a novel algorithm, which combines the NARF key point detector and the FPFH descriptor, to improve the efficiency of the initial iteration and reduce the computation burden of matching process. © IFIP International Federation for Information Processing 2018.

关键词： Iterative methods

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Solutions Verification for Cloud-Based Networked control System using Karush-Kuhn-Tucker Conditions

Solutions Verification for Cloud-Based Networked Control Sys...

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Chinese Automation Congress

作者： Yasir Ali Zhen Shen Fenghua Zhu Gang Xiong Shichao Chen Yuanqing Xia Fei-Yue Wang The State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China Cloud Computing Center Chinese Academy of Sciences Dongguan China School of Automation Beijing Institute of Technology China Beijing Engineering Research Center of Intelligent Systems and Technology Chinese Academy of Sciences Beijing China

The rapid development of the Cloud Computing Technologies (CCTs) has amended the conventional design of resource-constrained Network control System (NCS) to the powerful and flexible design of Cloud-Based Networked control System (CB-NCS) by relocating the processing part to the cloud server. This arrangement has produced many internets based exquisite applications. However, this new arrangement has also raised many network security challenges for the cloud-based control system related to cyber-physical part of the system. In the absence of robust verification methodology, an attacker can launch the modification attack in order to destabilize or take control of NCS. It is desirable that there shall be a solution authentication methodology used to verify whether the incoming solutions are coming from the cloud or not. This paper proposes a methodology used for the verification of the receiving solution to the local control system from the cloud using Karush-Kuhn-Tucker (KKT) conditions, which is then applied to actuator after verification and thus ensure the stability in case of modification attack.

关键词： Cloud-based control system Security of NCS Analysis of solution verification for NCS KKT conditions

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Distributed Full Order Sliding Mode control for Finite-Time Attitude Synchronization and Tracking of Spacecraft

Distributed Full Order Sliding Mode Control for Finite-Time ...

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Chinese control Conference (CCC)

作者： Nsubuga Latifu Zhuoyue Song Chao Duan Zhen Li Housheng Su Qinghe Wu Xiangdong Liu State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing P. R. China School of Automation Huazhong University of Science and Technology Wuhan People's Republic of China

This paper investigates a distributed finite-time attitude synchronization and tracking problem of multiple spacecraft when a time varying reference signal is available to only a subset of group members. Modified Rodrigues parameters are used for attitude representation. A two layer sliding mode surface with fast non-singular terminal sliding mode surface (FNTSMS) as the inner layer and terminal sliding mode surface (TSMS) as the outer layer is used to create a full order sliding mode surface. The proposed distributed attitude coordination control law guarantees attitude synchronization and tracking as long as their exists atleast one spacecraft that has a direct access to the virtual leader's time varying attitude. Finite-time stability of the closed loop system is guaranteed by Lyapunov-based stability method. Simulation results are presented to validate the performance of the proposed control strategy.

关键词： Space vehicles Attitude control Synchronization Sliding mode control Decentralized control Symmetric matrices Stability analysis

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Optimal Consensus control of Unknown Nonlinear Multi-Agent systems Using Adaptive Dynamic Programming via MRAC

Optimal Consensus Control of Unknown Nonlinear Multi-Agent S...

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Chinese control Conference (CCC)

作者： Hao Fu Xin Chen Wei Wang Jinbin Li Yaodong Zhang Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan P. R. China State Grid Hubei Electric Power Research Institute Wuhan P. R. China

This paper introduces an optimal consensus control scheme for nonlinear multi-agent systems with completely unknown dynamics. In general, it is difficult to solve the coupled Hamilton-Jacobi-Bellman (HJB) equations, which the optimal consensus control relies on in multi-agent systems, especially unknown nonlinear systems. For the purpose of solving the problem, we propose an optimal consensus control approach based on the model reference adaptive control (MRAC) and adaptive dynamic programming (ADP). Using the structure of the diagonal recurrent neural network, the identifier and controller are devised to achieve MRAC for every plant of the unknown nonlinear systems, i.e. the reference model serves as a dynamic model of each individual agent. Then, according to reference models of distributed agents, an adaptive dynamic programming (ADP) is introduced to approximate the solution of the coupled HJB equations.

关键词： Multi-agent systems Mathematical model Adaptation models Heuristic algorithms Recurrent neural networks Dynamic programming

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