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Chinese automation Congress (CAC)

作者： Jingwei Lu Tianxiang Bai Qinglai Wei Tianmin Zhou Fei-Yue Wang School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China The State Key Laboratory for Management and Control of Complex Systems Institute of Automation Beijing China

ISBN: (纸本)9781665426480

This study proposes a new event-triggered optimal control (ETOC) method for discrete-time (DT) constrained nonlinear systems. First, a new triggering condition is proposed. We show the asymptotic stability of the closed-loop system using the proposed triggering condition and analyze the degeneration degree of the real performance index. Second, to perform the proposed ETOC method effectively, parallel control (PC) combined with adaptive dynamic programming (ADP) is applied. Finally, the validity of the ETOC method is validated by a simulation.

关键词： Degradation Asymptotic stability Adaptation models Stability criteria Optimal control Performance analysis Trajectory

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Backstepping-Based Parallel control for Cascaded Nonlinear systems

Backstepping-Based Parallel Control for Cascaded Nonlinear S...

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Digital Twins and Parallel Intelligence (DTPI), IEEE International Conference on

作者： Jingwei Lu Qinglai Wei Tianmin Zhou Liyuan Han Fei-Yue Wang School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China The State Key Laboratory for Management and Control of Complex Systems Institute of Automation Beijing China

In this study, a novel nonlinear parallel control method is proposed for cascaded nonlinear systems using the backstepping technique. Unlike the existing state feedback control methods, the control input is taken into the feedback system. First, an augmented system is constructed to facilitate the constructing the Lyapunov function. Then, the backstepping technique can be applied to obtain the nonlinear parallel control law, and the stability analysis is shown using the Lyapunov theory. Finally, a simulation is conducted to demonstrate the effectiveness of the proposed parallel control method.

关键词： state feedback Backstepping Simulation Digital twin Conferences control systems Stability analysis

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Multi-task Safe Reinforcement Learning for Navigating Intersections in Dense Traffic

arXiv

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arXiv 2022年

作者： Liu, Yuqi Gao, Yinfeng Zhang, Qichao Ding, Dawei Zhao, Dongbin The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China College of Artificial Intelligence University of Chinese Academy of Sciences Beijing100049 China School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing1000839 China

Multi-task intersection navigation including the unprotected turning left, turning right, and going straight in dense traffic is still a challenging task for autonomous driving. For the human driver, the negotiation skill with other interactive vehicles is the key to guarantee safety and efficiency. However, it is hard to balance the safety and efficiency of the autonomous vehicle for multi-task intersection navigation. In this paper, we formulate a multi-task safe reinforcement learning with social attention to improve the safety and efficiency when interacting with other traffic participants. Specifically, the social attention module is used to focus on the states of negotiation vehicles. In addition, a safety layer is added to the multi-task reinforcement learning framework to guarantee safe negotiation. We compare the experiments in the simulator SUMO with abundant traffic flows and CARLA with high-fidelity vehicle models, which both show that the proposed algorithm can improve safety with consistent traffic efficiency for multi-task intersection navigation. Copyright © 2022, The Authors. All rights reserved.

关键词： Autonomous vehicles

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Evaluating the Generalization of 3D Detectors with Hybrid Point Clouds

Evaluating the Generalization of 3D Detectors with Hybrid Po...

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Computer Science and management Technology (ICCSMT), International Conference on

作者： Yonglin Tian Xiao Wang University of Science and Technology of China Hefei China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781665420648

With the development of LiDAR technologies and deep learning algorithms, tremendous methods have been proposed for 3D detection in intelligent transportation. However, the generalization of 3D detectors under different environments is not fully evaluated due to the lack of diverse testing datasets. Two of the main obstacles in building testing benchmark of point clouds are the huge cost of the annotation of point clouds and the low flexibility in data collection. In this paper, we propose to use hybrid point clouds to evaluate the generalization of multiple 3D detectors when they are transferred from real data to hybrid data. Compared with evaluating 3D detectors with real point clouds dataset, our approach is much more flexible and demands less human labor.

关键词： Point cloud compression Cloud computing Three-dimensional displays Laser radar Costs Pipelines Transportation

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Mechanical Design Paradigm based on ACP Method in Parallel Manufacturing

Mechanical Design Paradigm based on ACP Method in Parallel M...

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Digital Twins and Parallel Intelligence (DTPI), IEEE International Conference on

作者： Shimeng Li Yutong Wang Xiao Wang Feiyue Wang The State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Qingdao Academy of Intelligent Industries Qingdao China

Parallel Manufacturing is a new manufacturing paradigm in industry, deeply integrating informalization, automation, and artificial intelligence. In this paper we propose a new mechanical design paradigm in Parallel Manufacturing based on ACP method. The key is to regard the design procedure based on artificial design and emulation method as two independent procedures, which can be modeled as a parallel system. The design procedure based on ACP method does not include a real system, which is an inventive extension of the traditional parallel system. This method can be implemented with social information by introducing the definition of SDV, SDM, and Intelligent Design Manager, making it highly adaptive for social manufacturing and Parallel Manufacturing.

关键词： Industries Adaptation models automation Digital twin Design methodology Conferences Emulation

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Design of Cascade control Framework for ROV control and Simulation 17

Design of Cascade Control Framework for ROV Control and Simu...

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17th IEEE International Conference on Mechatronics and automation, ICMA 2020

作者： Qiu, Changlin Kong, Shihan Zhou, Chao Yu, Junzhi Institute of Automation Cas State Key Lab Management and Control for Complex Systems Beijing100190 China Naval Research Academy Beijing100072 China

ISBN: (纸本)9781728164151

In this paper, a cascade control framework is proposed a class of remote operated vehicles (ROVs) to enhance the control performance and capacity of interference resistance. Specifically, the control framework is composed of a fuzzy-based controller in primary loop and a PID neural network based controller in secondary loop. In the primary loop, fuzzy controller is implemented to avoid precise establishment of ROV model for calculating the expected velocity of the vehicle. Furthermore, in the secondary loop, a PID neural network with adaptation is adopted to accomplish the capacity of resisting disturbance. Eventually, the control framework is verified by theoretical and simulation analyses. The obtained results indicate that the proposed cascade control framework endows the ROV with the ability to guarantee the control performance and attenuate external disturbance effectively. © 2020 IEEE.

关键词： controllers

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Parallel System-Based Predictive control for Traffic Signals in Large-Scale Road Networks

Parallel System-Based Predictive Control for Traffic Signals...

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International Conference on Intelligent Transportation

作者： Xingyuan Dai Yan Zhang Yiqing Tang Hongrui Chen Jiaming Sun Fei Cong Yanan Lu Yisheng Lv School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China China Telecom Digital City Technology Co. Ltd Xiong'an China School of Information Engineering China University of Geosciences (Beijing) Beijing China

This paper proposes a parallel system-based predictive control (PPC) method to address the problem of active traffic signal control in large-scale urban road networks. The method leverages simulated artificial transportation systems to infer the short-term future operating states of the real transportation system. During the inference process, an efficient predictive learning-based multi-agent reinforcement learning (RL) algorithm is employed to optimize the cooperative control policies. The optimized policies are then deployed to the real transportation system at fixed intervals to adapt to the real-time and dynamic traffic flow. Experimental results demonstrate that PPC outperforms traditional traffic control methods and some multi-agent RL benchmarks in large-scale road network control scenarios with nearly two hundred intersections, showcasing superior generalization capabilities.

关键词：

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A Modified Line-of-Sight Method for Path Tracking Applied to Robotic Fish 17

A Modified Line-of-Sight Method for Path Tracking Applied to...

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17th IEEE International Conference on Mechatronics and automation, ICMA 2020

作者： Du, Sheng Zhou, Chao Yu, Junzhi Wu, Zhengxing State Key Lab Management and Control for Complex Systems Institute of Automation Cas Beijing100190 China Naval Research Academy Beijing100072 China

ISBN: (数字)9781728164168

ISBN: (纸本)9781728164151

This paper proposes an improved line-of-sight method to navigate a two-joint-actuated tuna-like robotic fish. Based on the characteristics of thunniform swimmer, a simplified kinematic and dynamic model is constructed, and the intrinsic body swing is illustrated. To deal with the nonlinear and under-actuated dynamics of the robotic fish, the reference head angle is designed with cross-track error, which substantially simplifies the control of linear path tracking. Furthermore, with the physical constraint, co-simulation using Automatic Dynamic Analysis of Mechanical systems (ADAMS) software and MATLAB simulink reveals the effectiveness. The obtained results show that the proposed method is able to make both the cross-track error and the heading error fluctuate in an acceptable range quickly. © 2020 IEEE.

关键词： MATLAB

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Event-triggered attitude tracking for rigid spacecraft

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Science China(Information Sciences) 2019年第12期62卷 178-193页

作者： Deheng CAI Hengguang ZOU Junzheng WANG Yuan HUANG Dawei SHI State Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology China Academy of Space Technology

This study aims to investigate the problem of attitude control for a spacecraft with inertial uncertainties, external disturbances, and communication restrictions. An event-triggered active disturbance rejection control approach is proposed for attitude tracking of the spacecraft. An event-triggered mechanism is introduced together with an extended state observer to jointly monitor the system states and total disturbances. The observation error is proved to be uniformly bounded. Based on the proposed control scheme,the integrated tracking system is shown to be asymptotically stable, implying successful attitude tracking of the spacecraft for the desired motion. Numerical results illustrate the effectiveness of the control strategy in achieving satisfactory tracking performance with a reduced data-transmission cost.

关键词： spacecraft attitude tracking active disturbance rejection control event-triggered control extended state observer

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User Experience Evaluation in Virtual Reality based on Subjective Feelings and Physiological Signals

User Experience Evaluation in Virtual Reality based on Subje...

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2020 Engineering Reality of Virtual Reality Conference, ERVR 2020

作者： Niu, Yunfang Wang, Danli Wang, Ziwei Sun, Fan Yue, Kang Zheng, Nan State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China School of Computer and Information Technology Liaoning Normal University Dalian China

At present, the research on emotion in the virtual environment is limited to the subjective materials, and there are very few studies based on objective physiological signals. In this article, the authors conducted a user experiment to study the user emotion experience of virtual reality (VR) by comparing subjective feelings and physiological data in VR and two-dimensional display (2D) environments. First, they analyzed the data of self-report questionnaires, including Self-assessment Manikin (SAM), Positive And Negative Affect Schedule (PANAS) and Simulator Sickness Questionnaire (SSQ). The result indicated that VR causes a higher level of arousal than 2D, and easily evokes positive emotions. Both 2D and VR environments are prone to eye fatigue, but VR is more likely to cause symptoms of dizziness and vertigo. Second, they compared the differences of electrocardiogram (ECG), skin temperature (SKT) and electrodermal activity (EDA) signals in two circumstances. Through mathematical analysis, all three signals had significant differences. Participants in the VR environment had a higher degree of excitement, and the mood fluctuations are more frequent and more intense. In addition, the authors used different machine learning models for emotion detection, and compared the accuracies on VR and 2D datasets. The accuracies of all algorithms in the VR environment are higher than that of 2D, which corroborated that the volunteers in the VR environment have more obvious skin electrical signals, and had a stronger sense of immersion. This article effectively compensated for the inadequacies of existing work. The authors first used objective physiological signals for experience evaluation and used different types of subjective materials to make contrast. They hope their study can provide helpful guidance for the engineering reality of virtual reality. c Society for Imaging Science and Technology 2019

关键词： Virtual reality

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