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Annual Conference of the IEEE Industrial Electronics Society

作者： Fangyuan Hou Jian Sun Key Laboratory of Intelligent Control and Decision of Complex System Beijing Institute of Technology Beijing P.R. China

This paper is concerned with the problem of designing successful covert attacks against output tracking control of cyber-physical systems from the covert agent's angle. Based on the perfect model knowledge and no model knowledge, the covert agent designs two kinds of covert attacks which can compromise the output tracking control system without being detected. Two sufficient conditions under which the covert agent can successfully compromise the output tracking control system are proposed. The designed covert attacks are illustrated through two numerical examples.

关键词： control systems Numerical models Kalman filters system dynamics State estimation Cyber-physical systems system performance

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Dynamic Output Feedback control of Networked control systems with Aperiodic Sampling and Time-Varying Delays

Dynamic Output Feedback Control of Networked Control Systems...

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Asian control Conference

作者： Su Meng Jian Sun Jie Chen Key Laboratory of Intelligent Control and Decision of Complex System Beijing Institute of Technology Beijing P.R. China

ISBN: (纸本)9781509015740;9781509015733

This paper investigates the stability and stabilization issues for networked control systems with both aperiodic sampling and time-varying transmission delays in a general case. The delays vary within a given interval which could be larger than the sampling interval. By applying model transformation methods of aperiodic sampling and time-varying delays as well as the lifting method, the discretized closed-loop system with time-varying delays is converted to a discrete-time system with time-varying delays and norm-bounded uncertainties coming from aperiodic sampling, and is then modeled as an interconnected system of which the forward channel is delay-free. An asymptotic stability condition for the closed-loop system is derived, and a dynamic output feedback controller design method is also proposed. A numerical example is finally provided to illustrate the effectiveness of the proposed method.

关键词： Delays Time-varying systems Closed loop systems Output feedback Stability analysis Asymptotic stability Uncertainty

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Self-triggered control of heterogeneous multiagent systems with input saturation

Self-triggered control of heterogeneous multiagent systems w...

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第37届中国控制会议

作者： Shengli Du Di Wu Yongfeng Gao Xu Li the College of Automation Faculty of Information Technology Beijing University of Technology the Beijing Key Laboratory of Computational Intelligence and Intelligent System the School of Control Science and Engineering Dalian University of Technology the School of Aeronautics and Astronautics Dalian University of Technology

This paper is concerned with the semi-global output synchronization problem of a heterogeneous network under selftriggered control. A distributed self-triggered control scheme in which only local information is used to compute the triggering instants is proposed. In addition, the Zeno behavior can be excluded in the designed scheme. By adopting the low-gain technique, it is shown that the input saturation nonlinearity can be avoided if the parameter of the parameterized feedback gain is chosen small enough. The algorithm for implementing the selftriggered rule is also presented in the paper.

关键词： Output synchronization input saturation selftriggered control multiagent system

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Further results on cloud control systems

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Science China(Information Sciences) 2016年第7期59卷 232-236页

作者： Yuanqing XIA Yongming QIN Di-Hua ZHAI Senchun CHAI School of Automation Key Laboratory of Intelligent Control and Decision of Complex SystemsBeijing Institute of Technology

This paper is devoted to further investigating the cloud control systems(CCSs). The benefits and challenges of CCSs are provided. Both new research results of ours and some typical work made by other researchers are p... 详细信息

关键词： cloud control systems cloud computing cyber-physical systems networked control systems big data

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Synchronization Tracking of Heterogeneous Robotic systems with Parametric Uncertainties and Communication Delays 5

Synchronization Tracking of Heterogeneous Robotic Systems wi...

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5th International Conference on Information, Cybernetics, and Computational Social systems, ICCSS 2018

作者： Yao, Xiang-Yu Ge, Ming-Feng Ding, Hua-Feng Wang, Leimin Liu, Jie Han, Tao Liu, Zhi-Wei School of Mechanical Engineering and Electronic Information China University of Geosciences Wuhan430074 China School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Huazhong University of Science and Technology Wuhan430074 China School of Hydropower and Information Engineering Huazhong University of Science and Technology Wuhan430074 China College of Mechatronics and Control Engineering Hubei Normal University Huangshi435002 China School of Automation Huazhong University of Science and Technology Wuhan430074 China

ISBN: (纸本)9781538670880

This paper studies synchronization tracking problems of heterogeneous robotic systems in the presence of kinematic uncertainties, dynamic uncertainties and communication delays. To solve the above problems, this paper develops cooperative adaptive controllers based on directed topologies containing spanning trees, which relaxes the constraints on communications than the previous works with undirected or strongly connected topologies. By invoking Lyapunov stability and Input-output stability techniques, sufficient criteria for asymptotical stability of the systems are obtained. Moreover, the obtained results are expanded to formation problems in similar cases. Finally, the validity of the theoretical results and the numerical comparisons with existing work are supported by numerous simulations. © 2018 IEEE.

关键词： Topology

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The ParallelEye-CS Dataset: Constructing Artificial Scenes for Evaluating the Visual Intelligence of intelligent Vehicles

The ParallelEye-CS Dataset: Constructing Artificial Scenes f...

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2018 IEEE intelligent Vehicles Symposium, IV 2018

作者： Li, Xuan Wang, Yutong Wang, Kunfeng Yan, Lan Wang, Fei-Yue School of Automation Beijing Institute of Technology Beijing100081 China State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China University of Chinese Academy of Sciences Beijing100049 China Innovation Center for Parallel Vision Qingdao Academy of Intelligent Industries Qingdao266000 China Research Center for Computational Experiments and Parallel Systems Technology National University of Defense Technology Changsha410073 China

ISBN: (纸本)9781538644522

Offline training and testing are playing an essential role in design and evaluation of intelligent vehicle vision algorithms. Nevertheless, long-term inconvenience concerning traditional image datasets is that manually collecting and annotating datasets from real scenes lack testing tasks and diverse environmental conditions. For that virtual datasets can make up for these regrets. In this paper, we propose to construct artificial scenes for evaluating the visual intelligence of intelligent vehicles and generate a new virtual dataset called 'ParallelEye-CS'. First of all, the actual track map data is used to build 3D scene model of Chinese Flagship intelligent Vehicle Proving Center Area, Changshu. Then, the computer graphics and virtual reality technologies are utilized to simulate the virtual testing tasks according to the Chinese intelligent Vehicles Future Challenge (IVFC) tasks. Furthermore, the Unity3D platform is used to generate accurate ground-truth labels and change environmental conditions. As a result, we present a viable implementation method for constructing artificial scenes for traffic vision research. The experimental results show that our method is able to generate photorealistic virtual datasets with diverse testing tasks. © 2018 IEEE.

关键词： intelligent vehicle highway systems

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Construction of Barrier in a Fishing Game with Point Capture

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IEEE Transactions on Cybernetics 2017年第6期47卷 1409-1422页

作者： Zha, Wenzhong Chen, Jie Peng, Zhihong Gu, Dongbing School of Automation Beijing Institute of Technology Beijing100081 China Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing100081 China School of Computer Science and Electronic Engineering University of Essex ColchesterCO4 3SQ United Kingdom

This paper addresses a particular pursuit-evasion game, called as 'fishing game' where a faster evader attempts to pass the gap between two pursuers. We are concerned with the conditions under which the evader or pursuers can win the game. This is a game of kind in which an essential aspect, barrier, separates the state space into disjoint parts associated with each player's winning region. We present a method of explicit policy to construct the barrier. This method divides the fishing game into two subgames related to the included angle and the relative distances between the evader and the pursuers, respectively, and then analyzes the possibility of capture or escape for each subgame to ascertain the analytical forms of the barrier. Furthermore, we fuse the games of kind and degree by solving the optimal control strategies in the minimum time for each player when the initial state lies in their winning regions. Along with the optimal strategies, the trajectories of the players are delineated and the upper bounds of their winning times are also derived. © 2013 IEEE.

关键词： Optimal systems

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A Novel Deep Learning Approach: Stacked Evolutionary Auto-encoder

A Novel Deep Learning Approach: Stacked Evolutionary Auto-en...

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International Joint Conference on Neural Networks

作者： Yaoming Cai Zhihua Cai Meng Zeng Xiaobo Liu Jia Wu Guangjun Wang School of Computer Science China University of Geosciences Wuhan China Qinzhou University Guangxi China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Department of Computing Macquarie University Sydney NSW Australia

Deep neural networks have been successfully applied to many data mining problems in recent works. The training of deep neural networks relies heavily upon gradient descent methods, however, which may lead to the failure of training due to the vanishing gradient (or exploding gradient) and local optima problems. In this paper, we present SEvoAE method based on using Evolutionary Multiobjective Optimization (EMO) algorithm to train single layer auto-encoder, and sequentially learning deeper representation in a stacking way. SEvoAE is able to achieve accurate feature representation with good sparseness by globally simultaneously optimizing two conflicting objective functions and allows users to flexibly design objective functions and evolutionary optimizers. We compare results of the proposed method with existing architectures for seven classification problems, showing that the proposed method is able to outperform existing methods with a reduced risk of overfitting the training data.

关键词： Training Optimization Decoding Neural networks Linear programming Feature extraction Stacking

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Enhancing quantum entropy in vacuum-based quantum random number generator

arXiv

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arXiv 2018年

作者： Guo, Xiaomin Liu, Ripeng Li, Pu Cheng, Chen Wu, Mingchuan Guo, Yanqiang Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi Province Taiyuan University of Technology Taiyuan030024 China Institute of Optoelectronic Engineering College of Physics and Optoelectronics Taiyuan University of Technology Taiyuan030024 China

Information-theoretically provable unique true random numbers, which cannot be correlated or controlled by an attacker, can be generated based on quantum measurement of vacuum state and universal-hashing randomness extraction. Quantum entropy in the measurements decides the quality and security of the random number generator. At the same time, it directly determine the extraction ratio of true randomness from the raw data, in other words, it affects quantum random numbers generating rate obviously. In this work, considering the effects of classical noise, the best way to enhance quantum entropy in the vacuum-based quantum random number generator is explored in the optimum dynamical analog-digital converter (ADC) range scenario. The influence of classical noise excursion, which may be intrinsic to a system or deliberately induced by an eavesdropper, on the quantum entropy is derived. We propose enhancing local oscillator intensity rather than electrical gain for noise-independent amplification of quadrature fluctuation of vacuum state. Abundant quantum entropy is extractable from the raw data even when classical noise excursion is large. Experimentally, an extraction ratio of true randomness of 85.3% is achieved by finite enhancement of the local oscillator power when classical noise excursions of the raw data is obvious. Copyright © 2018, The Authors. All rights reserved.

关键词： Quantum theory

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Robust Disturbance Rejection in Repetitive-control system Based on Improved Equivalent-Input-Disturbance Approach 36

Robust Disturbance Rejection in Repetitive-Control System Ba...

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第36届中国控制会议

作者： Lan Zhou Jinhua She Changzhong Pan School of Information and Electrical Engineering Hunan University of Science and Technology School of Engineering Tokyo University of Technology School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

ISBN: (纸本)9781538629185

This paper concerns disturbance rejection for a repetitive-control system（RCS） with unknown time-varying uncertainties and nonlinearity. The design of the RCS is based on the concept of equivalent input disturbance（EID）. First, an EID estimator is constructed through a state observer with dynamic coefficient matrix that effectively estimates the total effect of the uncertainties and nonlinearity on the output of the plant. Next, a robust globally uniformly ultimately bounded stability condition for the EID-based RCS is derived in the form of a linear matrix inequality. Then, the methods of designing a modified repetitive controller, a state-feedback controller, and an EID estimator are explained. Finally, simulation results demonstrate the validity of the method.

关键词： Repetitive control Equivalent Input Disturbance Disturbance Rejecting Two-dimensional system Linear Matrix Inequality

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