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IEEE International Conference on Unmanned systems (ICUS)

作者： Yihan Zhao Xuting Duan Jianshan Zhou Long Zhang State Key Lab of Intelligent Transportation System Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control School of Transportation Science and Engineering Beihang University Beijing China State Key Lab of Intelligent Transportation System Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control Zhongguancun Laboratory School of Transportation Science and Engineering Beihang University Beijing China National Key Laboratory of Science and Technology on Information System Security Institute of Systems Engineering Beijing China

Vehicle platoon is one of the concrete manifestations of multi-vehicle cooperative control and intelligent transportation. However, the velocity perturbation in the driving process will bring about stability and safety problems. The connected autonomous vehicles (CAVs) can obtain the motion status of the lead vehicle in real time and respond to it in time, which is of far-reaching significance to platoon control. Based on this, this paper focuses on the longitudinal driving strategy of connected autonomous vehicle platoons. Specifically, we provide a discrete double-integral model controller for each vehicle in a generic scenario, and the controller performs acceleration and deceleration control at each timeslot according to the state of the vehicle in front and its own state. Simulation experiments are designed by varying the size of the platoon and the number of connected autonomous vehicles. The experimental results show that the introduction of connected autonomous vehicles can effectively suppress the platoon velocity perturbation, increase the stability of the platoon driving, and significantly reduce the fuel consumption at the same time.

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Data-Driven control of Distributed Event-Triggered Network systems

arXiv

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arXiv 2022年

作者： Wang, Xin Sun, Jian Wang, Gang Allgöwer, Frank Chen, Jie State Key Lab of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing100081 China Beijing Institute of Technology Chongqing Innovation Center Chongqing401120 China Institute for Systems Theory and Automatic Control University of Stuttgart Stuttgart70550 Germany Department of Control Science and Engineering Tongji University Shanghai201804 China State Key Lab of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing100081 China

The present paper deals with data-driven event-triggered control of a class of unknown discrete-time interconnected systems (a.k.a. network systems). To this end, we start by putting forth a novel distributed event-triggering transmission strategy based on periodic sampling, under which a model-based stability criterion for the closed-loop network system is derived, by leveraging a discrete-time looped-functional approach. Marrying the model-based criterion with a data-driven system representation recently developed in the literature, a purely data-driven stability criterion expressed in the form of linear matrix inequalities (LMIs) is established. Meanwhile, the data-driven stability criterion suggests a means for co-designing the event-triggering coefficient matrix and the feedback control gain matrix using only some offline collected state-input data. Finally, numerical results corroborate the efficacy of the proposed distributed data-driven ETS in cutting off data transmissions and the co-design procedure. Copyright © 2022, The Authors. All rights reserved.

关键词： Linear matrix inequalities

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Multi-step Prediction Error Approach for MPC Performance Monitoring *

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IFAC Proceedings Volumes 2009年第11期42卷 482-487页

作者： Yu Zhao Jian Chu Hongye Su Biao Huang State Key Lab. of Industrial Control Technology Institute of Cyber Systems and Control Zhejiang University Hangzhou China Department of Chemical and Materials Engineering University of Alberta Edmonton AB Canada T6G 2G6

Abstract Performance monitoring of model predictive control systems (MPC) has received a great interest from both academia and industry. In recent years some novel approaches for multivariate control performance monitoring have been developed without the requirement of process models or interactor matrices. Among them the prediction error approach has been shown to be a promising one, but it is k-step prediction based and may not be fully comparable with the MPC objective that is multi-step prediction based. This paper develops a multi-step prediction error approach for performance monitoring of model predictive control systems, and demonstrates its application in an industrial MPC performance monitoring and diagnosis problem.

关键词： Multivariable control systems Model predictive control Performance evaluation Performance monitoring Prediction error methods

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Evolution of Cooperation in Snowdrift Game with Multi-Memory Mechanism

Evolution of Cooperation in Snowdrift Game with Multi-Memory...

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Chinese control Conference (CCC)

作者： Yaojun Liu Xingwen Liu Nyima Tashi Lab. of Complex Systems & Intelligent Control Key Lab. of Electronic Information of State Ethnic Affairs Commission College of Electrical Engineering Southwest Minzu University Chengdu Sichuan China Engineering Research Center for Tibetan Information Processing School of Information Science and Technology Tibet University Lhasa China

Cooperative behavior has been of great concern in evolutionary game researches because of its important role in social life and natural evolution. Since memory can greatly influence the emergence of cooperative behavior, memory-based research on evolutionary games has proliferated in recent years. In the present paper, inspired by the well-known “Stanford marshmallow experiment” (SME), we proposed a multi-memory mechanism in Snowdrift game (SDG) on spatial lattice networks whose core lies in what follows: Players are divided into two groups according to individual self-control; different memory lengths are set by group and by time in a single realization. The simulation results show that our proposed mechanism promotes cooperation level of the considered evolutionary game. More specifically, as memory length increases to an intermediate length, the cooperation level increases as well. For mechanism with short memory length, the effect of population structure is obvious and small values of adjusting factor can intensively facilitate high-frequency cooperative behavior. These findings may be helpful to understand the connection between population heterogeneity and the emergence of high cooperation.

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Joint Security and QoS Provisioning in Cooperative Vehicular Ad Hoc Networks

Joint Security and QoS Provisioning in Cooperative Vehicular...

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IEEE International Conference on Communications

作者： Li Zhu F. Richard Yu Bin Ning Tao Tang State Key Lab. of Rail Traffic Control and Safety Beijing Jiaotong University China Department of Systems and Computer Eng. Carleton University Ottawa ON Canada

In vehicular ad hoc networks (VANETs), security always comes with a price in terms of QoS performance degradation. In this paper, we take an integrated approach of optimizing both security and QoS parameters, and study the tradeoffs between them in VANETs. Specifically, we use recent advances in cooperative communication to enhance the QoS performance of VANETs. In addition, we present a prevention-based security technique mat provides both hop-by-hop and end-to-end authentication and integrity protection. We derive the closed-form effective secure throughput considering both security and QoS provisioning in VANETs with cooperative communications. The system is formulated as a partially observable Markov decision process (POMDP). Simulation results are presented to show that our proposed scheme can substantially improve the effective secure throughput of VANETs with cooperative communications.

关键词： Relays Throughput Vehicles Quality of service Authentication Mutual information

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Time-varying universe based linguistic dynamic analysis of timing design for parallel traffic light

Time-varying universe based linguistic dynamic analysis of t...

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International Conference on Informative and Cybernetics for Computational Social systems (ICCSS)

作者： Hong Mo Fei-Yue Wang Fenghua Zhu School of Electrical and Information Engineering Changsha University of Science and Technology Changsha CN State Key Lab. of Management and Control for Complex Systems Institute of Automation CN

Reasonable timing design for traffic light can induce and maintain the transportation systems in good order. How to allocate the time are the keys. In the paper, the theory of time-varying universe is used to describe the circle time, and corresponding fuzzy sets on the universe are also discussed to modeling the situation of traffic flow, then the parallel traffic management and control methods which are dynamic with the time change are presented. A simulation example are provided to analyze the linguistic dynamic evolution of timing design of traffic light when the traffic flow is change with time-varying for an intersection.

关键词： Timing Pragmatics Vehicle dynamics Fuzzy sets Complex systems Vehicles

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Algorithm design of traffic incident automatic detection based on mobile detection

Algorithm design of traffic incident automatic detection bas...

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2011 IEEE International Conference on Service Operations, Logistics and Informatics, SOLI 2011

作者： Zhang, Zi Lin, Xiaoli Hu, Bin Communications Commission of Guangzhou Municipality Guangzhou 510000 China Guangzhou Communication Information Construction Investment and Operation Co. Ltd Guangzhou 510000 China Transportation Management General Station of Guangzhou Haizhu Guangzhou 510000 China State Key Lab. of Intelligent Contr. and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781457705731

Most researches of traffic incident auto-detection are based on the data from fixed detectors, which are limited by costs and position. In order to resolve this problem, existing algorithms of traffic incident automatic detection are analyzed and compared, and an algorithm of traffic incident auto-detection are provided based on mobile-detection technology. The traffic data are grouped in 5-min intervals, analyzed by a three-layer BP neural network, and utilized for traffic incident detection. 16 traffic incidents of different locations and different levels are modeled in the simulation experiment based on VISSIM, and detection rate, false alarm rate and average detection time are adopted as indicators to evaluate the algorithm. Finally, the algorithm is proved to be effective and applicable in practice. © 2011 IEEE.

关键词： Neural networks

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Synthesis and photocatalytic capability of Cr-TiO2 film

Synthesis and photocatalytic capability of Cr-TiO2 film

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International Nano-Optoelectronic Workshop, iNOW

作者： Xiaojuan, Lu Duowang, Fan Duojin, Fan Hongzhong, Liu School of Automation and Electric Engineering Lanzhou Jiaotong University Lanzhou 730070 China MOE Key Lab. of Opto-electronic Technology and Intelligence Controll Lanzhou Jiaotong University Lanzhou 730070 China Lanzhou Dachen Automatic Control System Co. Ltd. Lanzhou 730070 China State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Xi'an 710049 China

A TiO2 catalyst doped by Cr was prepared by the sol-gel method and characterized by UV-2550 and FS. The results revealed that the Cr 6+-doped TiO2 film had the higher photocatalytic activity than pure TiO2 film. ©... 详细信息

ISBN: (纸本)1424415918

关键词： Sol-gel process

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Trajectory Planning for Autonomous Overtaking on Curved Roads with Avoidance of Human Driving Vehicles and Static Obstacles

Trajectory Planning for Autonomous Overtaking on Curved Road...

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IEEE International Conference on Unmanned systems (ICUS)

作者： Chen Shao Xuting Duan Jianshan Zhou Dezong Zhao State Key Lab of Intelligent Transportation System Beijing Key Laboratory for Cooperative Vehicle School of Transportation Science and Engineering Beihang University Infrastructure Systems and Safety Control Infrastructure Systems and Safety Control Beijing China State Key Lab of Intelligent Transportation System Beijing Key Laboratory for Cooperative Vehicle Zhongguancun Laboratory School of Transportation Science and Engineering Beihang University Beijing China James Watt School of Engineering University of Glasgow Glasgow U.K

A proposed obstacle avoidance trajectory planning method for autonomous vehicles considers social behavior characteristics to address the interaction problem with human drivers in mixed traffic environments. The method integrates graph theory and centrality functions to classify and predict driver behavior, employing model predictive control (MPC) to plan the autonomous vehicle's trajectory. By combining these social behaviors, the method ensures safe completion of the driving task based on probability. Experimental results from an interactive obstacle avoidance scenario in a curved environment confirm the successful completion of the task, validating the proposed method's feasibility and effectiveness, supporting its potential for real-world application.

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IEC61850-based information modeling of 126KV intelligent terminals

IEC61850-based information modeling of 126KV intelligent ter...

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2011 International Conference on Advanced Power System Automation and Protection, APAP 2011

作者： Zhang, Shu-Jian Wang, Bin Sun, Ming Dong, Xin-Zhou Sun, Tong Cao, Run-Bin Electrical Engineering and Automation Hefei University of Technology Baohe District Hefei 230009 China State Key Lab. of Control and Simulation of Power Systems and Generation Equipments Dept. of Electrical Engineering Tsinghua University Haidian District Beijing 100084 China School of Automation Nanjing University of Science and Technology Nanjing Jiangsu 210094 China

ISBN: (纸本)9781424496198

The stability and reliability of the intelligent terminal's receiving information affects its control of intelligent switch in operation directly. To achieve reliable intelligent communications terminals, with techniques and methods of IEC61850 modeling, the paper completed the 126KVGIS intelligent terminal information model based on the analysis of its information characteristics, and established the hardware platform with data model and logical nodes provided by IEC61850. Thus it has a certain practical significance to promote the standard construction, operation and management of intelligent substation, and lead the digital process of process layer devices. © 2011 IEEE.

关键词： Digital devices

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