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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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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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A transition method based on Bezier curve for trajectory planning in cartesian space

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High Technology Letters 2017年第2期23卷 141-148页

作者：张少林 Jing Fengshui Wang Shuo The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 P. R. China University of Chinese Academy of Sciences Beijing 100190 P. R. China

In order to smooth the trajectory of a robot and reduce dwell time,a transition curve is introduced between two adjacent curves in three-dimensional space.G2 continuity is guaranteed to transit *** minimize the amount of calculation,cubic and quartic Bezier curves are both ***,the contour curve is characterized by a transition parameter which defines the distance to the corner of the *** to define the transition points for different curves is presented.A general move command interface is defined for receiving the curve limitations and transition ***,how to calculate the control points of the cubic and quartic Bezier curves is analyzed and *** situations are discussed separately,including transition between two lines,transition between a line and a circle,and transition between two ***,the experiments are carried out on a six degree of freedom(DOF) industrial robot to validate the proposed *** of single transition and multiple transitions are *** trajectories in the joint space are also *** results indicate that the method achieves G2 continuity within the transition constraint and has good efficiency and adaptability.

关键词： transition method Bezier curve G2 continuity transition constraint

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Aggregation in Intersection Region for Distributed Heterogeneous Mobile Sensor Networks

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Journal of systems Science and complexity 2017年第4期30卷 932-949页

作者： Zheng Zhi Peng Zhihong Chen Jie School of Automation Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing 100081 School of Automation Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing 100081

This paper presents two aggregation strategies in convex intersection region for the distributed mobile sensor network (MSN) with heterogeneous dynamics. First, the authors analyze individual local perception model and dynamics model, set the intersection of all the local perceptions as the region of interest (ROI). The MSN consists of sensors with first-order dynamics and second-order dynamics. Then, the authors design a control strategy to ensure that individuals aggregate at a point in the ROI relying on their local perceptions and the locations of neighbors within their communication scope. The authors describe this situation of aggregation as rendezvous. In addition, the authors introduce artificial potential field to make sensors deploy dispersedly in a bounded range near the ROI, which the authors call dispersed deployment. Finally, the authors prove the stability of the proposed strategies and validate the theoretical results by simulations. This research is applied for the cooperative deployment and data collection of mobile platforms with different dynamics under the condition of inaccurate perception.

关键词： Aggregation convex intersection heterogeneous dynamics mobile sensor

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Perceptual visual interactive learning

arXiv

引用

arXiv 2018年

作者： Liu, Shenglan Liu, Xiang Liu, Yang Feng, Lin Qiao, Hong Zhou, Jian Wang, Yang Faculty of Electronic Information and Electrical Engineering Dalian University of Technology Dalian Liaoning116024 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China

Supervised learning methods are widely used in machine learning. However, the lack of labels in existing data limits the application of these technologies. Visual interactive learning (VIL) compared with computers can avoid semantic gap, and solve the labeling problem of small label quantity (SLQ) samples in a groundbreaking way. In order to fully understand the importance of VIL to the interaction process, we re-summarize the interactive learning related algorithms (e.g. clustering, classification, retrieval etc.) from the perspective of VIL. Note that, perception and cognition are two main visual processes of VIL. On this basis, we propose a perceptual visual interactive learning (PVIL) framework, which adopts gestalt principle to design interaction strategy and multi-dimensionality reduction (MDR) to optimize the process of visualization. The advantage of PVIL framework is that it combines computer's sensitivity of detailed features and human's overall understanding of global tasks. Experimental results validate that the framework is superior to traditional computer labeling methods (such as label propagation) in both accuracy and efficiency, which achieves significant classification results on dense distribution and sparse classes dataset. Copyright © 2018, The Authors. All rights reserved.

关键词： Machine learning

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Seasonal Scheduling of Office Electricity Use via Adaptive Dynamic Programming

Seasonal Scheduling of Office Electricity Use via Adaptive D...

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第37届中国控制会议

作者： Guang Shi Bo Zhao Chao Li Xin Jin Derong Liu National Computer Network Emergency Response Technical Team/Coordination Center of China The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences School of Automation Guangdong University of Technology

In this paper, an adaptive dynamic programming（ADP） based optimization method is proposed to schedule the electricity use of an office, where a battery is considered as the control variable, while solar and wind energies are included as additional energy supplies besides the grid. The electricity demand of an office generally contains socket, lighting and airconditioning demands. Based on the periodic models of electricity price, electricity demand, and solar and wind energies, the optimal control strategies of the battery are determined by the proposed ADP based optimization method, so that the electricity cost from the grid can be saved. Simulation analysis demonstrates that the proposed method can achieve optimal real-time scheduling of office electricity use in different seasons of a year.

关键词： Smart grid electricity scheduling optimal control adaptive dynamic programming

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Parallel-Education-Blockchain Driven Smart Education: Challenges and Issues

Parallel-Education-Blockchain Driven Smart Education: Challe...

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Chinese Automation Congress

作者： Xiaoyan Gong Xiwei Liu Sifeng Jing Gang Xiong Jiehan Zhou The State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China The Cloud Computing Center Chinese Academy of Sciences Dongguan China The Center for Ubiquitous Computing University of Oulu Oulu Finland

Recently education blockchain driven smart education has become focus of attention, and related system frameworks and key technologies are presented. However, problems of difficult to model, difficult to experiment, and difficult to optimize in education blockchain need to be further solved, and driving mechanisms, application scenarios and other issues need further analysis. This paper first introduces education blockchain, challenges and issues, then based on introduction of parallel intelligence theory and parallel blockchain, it proposes parallel education blockchain, and its driven mechanism, function distribution, data transfer, application scenarios and related issues are elaborated;At last, several questions are raised for discussion.

关键词： Education blockchain Parallel education blockchain Parallel intelligent theory intelligent education Driven mechanism

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Blockchain based digital asset management system architecture for power grid big data

arXiv

引用

arXiv 2018年

作者： Jun, Zhang Fei-Yue, Wang State Key Laboratory of Management and Control for Complex System Institute of Automation Chinese Academy of Sciences Beijing100190 China School of Electrical Engineering Wuhan University Wuhan430072 China Qingdao Academy of Intelligent Industries Qingdao266071

Chinese power grid enterprises are in need for development of digital asset management system. The characteristics of decentralization, self-trust and self-confidence, pave a promising technical path for power grid digital assess management and Big Data applications. This article firstly introduces the state-of-the-art of power grid Big Data and digital asset management, and the related issues in power grid enterprises. The solution of blockchain based digital asset management technology and its implementation are presented in details, followed by a discussion of their future developmental directions. Copyright © 2018, The Authors. All rights reserved.

关键词： Big data

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