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Distributed Platooning control of Automated Vehicles Subject to Replay Attacks Based on Proportional Integral Observers

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IEEE/CAA Journal of Automatica Sinica 2024年第9期11卷 1954-1966页

作者： Meiling Xie Derui Ding Xiaohua Ge Qing-Long Han Hongli Dong Yan Song Department of Control Science and Engineering University of Shanghai for Science and TechnologyShanghai 200093China School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyMelbourne VIC 3122Australia Artificial Intelligence Energy Research Institute Northeast Petroleum UniversityDaqing 163318the Heilongjiang Provincial Key Laboratory of Networking and Intelligent ControlNortheast Petroleum UniversityDaqing 163318 Sanya Offshore Oil&Gas Research Institute Northeast Petroleum UniversitySanya 572024China

Secure platooning control plays an important role in enhancing the cooperative driving safety of automated vehicles subject to various security *** paper focuses on the distributed secure control issue of automated vehicles affected by replay attacks.A proportional-integral-observer(PIO)with predetermined forgetting parameters is first constructed to acquire the dynamical information of ***,a time-varying parameter and two positive scalars are employed to describe the temporal behavior of replay *** light of such a scheme and the common properties of Laplace matrices,the closed-loop system with PIO-based controllers is transformed into a switched and time-delayed ***,some sufficient conditions are derived to achieve the desired platooning performance by the view of the Lyapunov stability *** controller gains are analytically determined by resorting to the solution of certain matrix inequalities only dependent on maximum and minimum eigenvalues of communication ***,a simulation example is provided to illustrate the effectiveness of the proposed control strategy.

关键词： Automated vehicles platooning control proportional-integral-observers(PIOs) replay attacks time-delays

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A type system for SPARDL

A type system for SPARDL

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IEEE 6th International Symposium on Theoretical Aspects of Software engineering, TASE 2012

作者： Wang, Zheng Pu, Geguang Li, Jianwen Gu, Bin Shanghai Key Laboratory of Trustworthy Computing East China Normal University Shanghai China Beijing Institute of Control Engineering Beijing China

ISBN: (纸本)9780769547510

SPARDL is a domain-specific modeling language for periodic control systems, which are widely used in embedded systems. Periodic control systems are usually driven by the given period. A periodic control system can be decomposed into different modes or sub-modes, and each mode represents a system state observed from outside. We believe that introducing static checking will extend the power of SPARDL. In this paper, we develop a type system for SPARDL. To make the contributions of this paper convincible and easy to understand, we apply the traditional approaches to construct the type system for SPARDL. An operational semantics is proposed as the basic explanation of SPARDL. And then some type safety theorems are proved under such semantics. We apply the type system to an industrial case from China Academy of Space Technology(CAST) to evaluate the effectiveness of our approach in practice, and then eight type errors are revealed. © 2012 IEEE.

关键词： Embedded systems

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The sub-Gramian method as a tool for the automotive suspension tuning 11

The sub-Gramian method as a tool for the automotive suspensi...

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11th International Conference "Management of Large-Scale System Development", MLSD 2018

作者： Kataev, Dmitry E. Kutyakov, Evgeniy Y. Vershinin, Yuri V.A. Trapeznikov Institute of Control Sciences RAS Moscow Russia Engineering Environment and Computing Coventry University Coventry United Kingdom

The sub-Gramian method allows individual numerical estimation of inner interactions in large-scale systems. However, it may give results that appear difficult to interpret. In this paper we apply the sub-Gramian metho... 详细信息

ISBN: (纸本)9781538649244

关键词： Differential equations

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Impact on Consensus by Incorporating Equality Constraint 34

Impact on Consensus by Incorporating Equality Constraint

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第三十四届中国控制会议

作者： WANG Jianan PENG Yan SHAN Jiayuan Key Laboratory of Dynamics and Control of Flight Vehicle within Ministry of Education School of Aerospace Engineering Beijing Institute of Technology School of Computing University of Southern Mississippi

ISBN: (纸本)9789881563897

In this paper, we primarily address the impact on consensus of multi-agent systems by incorporating the equality constraint. Both linear and certain form of nonlinear constraints are considered. In order to visualize the impact, the convergence rate over a strongly connected graph is proposed for both proposed linear and nonlinear consensus algorithms. In addition, for certain cases, the consensus can be achieved by only using constraint and thus the additional, fragile and logy communication link can be entirely gotten rid of. Numerical examples are further elaborated to validate the effectiveness of the proposed algorithms and its improved performance.

关键词： Cooperative control,Consensus,Convergence Speed,Equality Constraint

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On-line recognition of metabolic state of Baker's yeast culture 9th

On-line recognition of metabolic state of Baker's yeast cult...

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9th IFAC International Symposium on Computer Applications in Biotechnology, CAB 2004

作者： Hrnčiřík, P. Vovsík, J. Náhlík, J. Department of Computing and Control Engineering Institute of Chemical Technology Prague Technická 5 Prague 6166 28 Czech Republic

This paper presents the comparison of two approaches based on artificial intelligence techniques solving the task of on-line recognition of metabolic state of baker's yeast culture in a fed-batch cultivation. The first approach is represented by a knowledge-based system containing expert knowledge in the form of production rules. The other approach is based on the application of the fuzzy neural network paradigm enabling the automatic extraction of the recognition rules from experimental data. Performance of both approaches is discussed using results obtained from tests on experimental data from a laboratory cultivation unit. Copyright © IFAC Computer Applications in Biotechnology, Nancy, France, 2004.

关键词： Metabolism

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An embedded vertical‐federated feature selection algorithm based on particle swarm optimisation

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CAAI Transactions on Intelligence Technology 2023年第3期8卷 734-754页

作者： Yong Zhang Ying Hu Xiaozhi Gao Dunwei Gong Yinan Guo Kaizhou Gao Wanqiu Zhang School of Information and Control Engineering China University of Mining and TechnologyXuzhouChina The Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin UniversityChangchunChina School of Computing University of Eastern FinlandKuopioFinland The Macao Institute of Systems Engineering Macao University of Science and TechnologyTaipaChina

In real life,a large amount of data describing the same learning task may be stored in different institutions(called participants),and these data cannot be shared among par-ticipants due to privacy *** case that different attributes/features of the same instance are stored in different institutions is called vertically distributed *** pur-pose of vertical‐federated feature selection(FS)is to reduce the feature dimension of vertical distributed data jointly without sharing local original data so that the feature subset obtained has the same or better performance as the original feature *** solve this problem,in the paper,an embedded vertical‐federated FS algorithm based on particle swarm optimisation(PSO‐EVFFS)is proposed by incorporating evolutionary FS into the SecureBoost framework for the first *** optimising both hyper‐parameters of the XGBoost model and feature subsets,PSO‐EVFFS can obtain a feature subset,which makes the XGBoost model more *** the same time,since different participants only share insensitive parameters such as model loss function,PSO‐EVFFS can effec-tively ensure the privacy of participants'***,an ensemble ranking strategy of feature importance based on the XGBoost tree model is developed to effectively remove irrelevant features on each ***,the proposed algorithm is applied to 10 test datasets and compared with three typical vertical‐federated learning frameworks and two variants of the proposed algorithm with different initialisation ***-mental results show that the proposed algorithm can significantly improve the classifi-cation performance of selected feature subsets while fully protecting the data privacy of all participants.

关键词： Evolutionary optimization feature selection privacy protection vertical‐federated learning

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System Identification Based on DNNs with Disturbance Observer and Application to Unmanned Aerial Vehicles

System Identification Based on DNNs with Disturbance Observe...

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第三十二届中国控制会议

作者： YI Yang ZHENG Weixing YANG Yi GUO Lei Institute of Automation Southeast University School of Computing Engineering and MathematicsUniversity of Western Sydney School of Reliability and Systems Engineering Beihang University Science and Technology on Aircraft Control Laboratory Beihang University

ISBN: (纸本)9781479900305

In this paper,dynamic neural networks(DNNs) are used as the on-line identifier for a class of nonlinear systems with unknown external disturbance and unknown multiple dead zone *** integrating the novel nonlinear disturbance observer with adaptive control algorithms,the parameter coupling problem between unknown dead zone and DNNs can be successfully solved and the multiple disturbances can also be rejected *** the observation error and the identification error can be proved to convergent to ***,by combining with the numerical result of an unmanned aerial vehicle(UAV) model,the effectiveness of theoretical algorithms can be fully verified.

关键词： System identification Dynamic neural networks Disturbance observer Dead zone disturbance Unmanned aerial vehicles

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Accelerating Data Transfer in Dataflow Architectures Through a Look-Ahead Acknowledgment Mechanism

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Journal of Computer Science & Technology 2022年第4期37卷 942-959页

作者： Yu-Jing Feng De-Jian Li Xu Tan Xiao-Chun Ye Dong-Rui Fan Wen-Ming Li Da Wang Hao Zhang Zhi-Min Tang State Key Laboratory of Computer Architecture Institute of Computing TechnologyChinese Academy of SciencesBeijing 100190China Beijing Smartchip Microelectronics Technology Company Limited Beijing 100000China School of Computer and Control Engineering University of Chinese Academy of SciencesBeijing 100190China

The dataflow architecture,which is characterized by a lack of a redundant unified control logic,has been shown to have an advantage over the control-flow architecture as it improves the computational performance and power efficiency,especially of applications used in high-performance computing(HPC).Importantly,the high computational efficiency of systems using the dataflow architecture is achieved by allowing program kernels to be activated in a simultaneous ***,a proper acknowledgment mechanism is required to distinguish the data that logically belongs to different *** solutions include the tagged-token matching mechanism in which the data is sent before acknowledgments are received but retried after rejection,or a handshake mechanism in which the data is only sent after acknowledgments are ***,these mechanisms are characterized by both inefficient data transfer and increased area *** performance of the dataflow architecture depends on the efficiency of data *** order to optimize the efficiency of data transfer in existing dataflow architectures with a minimal increase in area and power cost,we propose a Look-Ahead Acknowledgment(LAA)*** accelerates the execution flow by speculatively acknowledging ahead without *** simulation analysis based on a handshake mechanism shows that our LAA increases the average utilization of computational units by 23.9%,with a reduction in the average execution time by 17.4%and an increase in the average power efficiency of dataflow processors by 22.4%.Crucially,our novel approach results in a relatively small increase in the area and power consumption of the on-chip logic of less than 0.9%.In conclusion,the evaluation results suggest that Look-Ahead Acknowledgment is an effective improvement for data transfer in existing dataflow architectures.

关键词： dataflow model control-flow model high-performance computing application data transfer power efficiency

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A multi-agent coordinated planning approach for deadline required emergency response tasks

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IET control Theory and Applications 2015年第3期9卷 447-455页

作者： Zhou, Chao Wang, Hongwei Zhuo, Hankz Hankui Key Laboratory of Image Processing and Intelligent Control of Education Ministry Institute of Systems Engineering Huazhong University of Science and Technology Wuhan430074 China School of Advanced Computing SunYat-sen University Guangzhou510006 China

This study investigates the emergency decision-making problem in a multi-agent system. Departments are modeled as agents to perform coordinated planning to obtain a global action plan with a short execution time constrained by a prescribed deadline. A novel multi-agent planning approach is proposed to coordinate for the solution among agents in the system. The approach consists of two stages. For the first stage, a coordinated planning and scheduling method is designed to generate a candidate global action plan. In this plan, durative actions are assigned to proper time intervals with the consideration of temporal relationships among agents. For the second stage, a coordination mechanism based on local heuristics is proposed to reduce the global time cost of the candidate plan to satisfy the deadline. An experimental study of emergency evacuation problem is conducted to demonstrate the effectiveness and efficiency of the proposed approach. © 2015 The Institution of engineering and Technology.

关键词： Multi agent systems

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Generating Adversarial Patterns in Facial Recognition with Visual Camouflage

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Journal of Shanghai Jiaotong University (Science) 2024年 1-12页

作者： Bao, Qirui Mei, Haiyang Wei, Huilin Lü, Zheng Wang, Yuxin Yang, Xin Key Laboratory of Social Computing and Cognitive Intelligence of Ministry of Education School of Control Science and EngineeringSchool of Computer Science and Technology Dalian University of Technology Liaoning Dalian116024 China Systems Engineering Institute Academy of Military Sciences Beijing100141 China

Deep neural networks, especially face recognition models, have been shown to be vulnerable to adversarial examples. However, existing attack methods for face recognition systems either cannot attack black-box models, are not universal, have cumbersome deployment processes, or lack camouflage and are easily detected by the human eye. In this paper, we propose an adversarial pattern generation method for face recognition and achieve universal black-box attacks by pasting the pattern on the frame of goggles. To achieve visual camouflage, we use a generative adversarial network (GAN). The scale of the generative network of GAN is increased to balance the performance conflict between concealment and adversarial behavior, the perceptual loss function based on VGG19 is used to constrain the color style and enhance GAN’s learning ability, and the fine-grained meta-learning adversarial attack strategy is used to carry out black-box attacks. Sufficient visualization results demonstrate that compared with existing methods, the proposed method can generate samples with camouflage and adversarial characteristics. Meanwhile, extensive quantitative experiments show that the generated samples have a high attack success rate against black-box models. © 2023, Shanghai Jiao Tong University.

关键词： Face recognition

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