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International Conference on Industrial Artificial Intelligence (IAI)

作者： Zhongnan Wang Zhongchao Liang School of Mechanical Engineering and Automation Northeastern University Shenyang China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China

This paper proposed an adaptive fixed-time controller for path-following problems of autonomous ground vehicles (AGVs). By adopting the fixed-time method, the controller ensures the convengence of the tracking error with any initial states and maintaining a fixed settling time. To address the singular issues and achieve control objectives, a nonsingular fixed-time sliding mode manifold based on the Lyapunov theorem is designed. The accurate determination of vehicle parameters and precise modeling of vehicle dynamics is often challenging. Therefore, the proposed approach includes an adaptive law to ensure stability and performance in the presence of model inaccuracies or external disturbances. To evaluate the efficacy of the proposed controller, closed-loop simulations are conducted in CarSim-Simulink by applying various driving scenarios.

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Semantic Segmentation Research of Motion Blurred Images by Event Camera

Semantic Segmentation Research of Motion Blurred Images by E...

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Conference on Vehicle Control and Intelligence (CVCI)

作者： Xiangyong Liu Fengfeng Yin Wei Jiang Siwen Fan College of Automotive Studies Tongji University Shanghai China State Key Laboratory of Process Automation in Mining & Metallurgy and Beijing Key Laboratory of Process Automation in Mining & Metallurgy Bgrimm Technology Group Shanghai China Department of Electromechanical Engineering University of Macau Shanghai China State Key Laboratory of Process Automation in Mining & Metallurgy and Beijing Key Laboratory of Process Automation in Mining & Metallurgy Bgrimm Technology Group Beijing China Linyi Engineering Branch China Railway Jinan Group Co Ltd Linyi China School of Mechatronical Engineering: Name of Organization Shanghai China

The semantic segmentation of road objects is a prerequisite for autonomous driving. Rapid or bumpy movement of vehicles can lead to the images to be blurred, which reduces the safety of autonomous driving. This study combines the dynamic visual sensor (DVS) and RGB camera to improve the detection accuracy of road semantic segmentation. Firstly, based on DVS and RGB images, we develop two datasets of blurred images, including the stone and run datasets. Then, a double channels’ detection network is designed with several Swin-transformer modules, and the two channels are designed to extract features from DVS and RGB images, respectively. In addition, a feature fusion module is designed to extract attention from DVS images. Finally, experiments demonstrate that our proposed double-channels’ fusion method achieves the state-of-the-art segmentation performance for blurred images.

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H∞$$ {\boldsymbol{H}}_{\mathbf{\infty}} $$Control With Event-Triggered Mechanism for T-S Fuzzy System Under Multiple Cyber-Attacks

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International Journal of Robust and Nonlinear Control 2024年第3期35卷 991-1001页

作者： Cheng Tan Chengzhen Gao Ge Guo School of Engineering Qufu Normal University Rizhao Shandong China School of Electrical Engineering Zhengzhou University Zhengzhou Henan China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang Liaoning China

The problem of event-triggered H ∞ $$ {H}_{\infty } $$ control for networked Takagi–Sugeno (T-S) fuzzy system under aperiodic DoS attacks and deception attacks is investigated. First, an event generator is introduced in the Sensor-to-Controller channel to determine the transmission of data. At the same time, the Sensor-to-Controller channel is assumed to be subjected to deception attacks that are randomly distributed but not Bernoulli distributed. Next, the impact of aperiodic DoS attacks on the Controller-to-Actuator channel is further considered, and the DoS attack behavior is described in terms of attack period and frequency. The article designs an adaptive resilience event-triggered mechanism (ARETM), which is aimed at circumventing the ineffective data updating in the “active” phase of the DoS attacks, thereby realizing the effective saving of communication resources and mitigating the adverse effects of DoS attacks. Then, the switched fuzzy system is established to cope with the different states of the DoS attackers. Using the piecewise Lyapunov function, a design method for the controller gains and the ARETM matrix is obtained, which allows the system to be stabilizable and obtain H ∞ $$ {H}_{\infty } $$ performance under the control action. Finally, the effectiveness of the ARETM-based control strategy is confirmed by simulation experiment.

关键词： adaptive resilient event-triggered mechanism (ARETM) deception attacks DoS attacks Takagi–Sugeno (T-S) fuzzy system

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Multi-Agent Control:A Graph-Theoretic Perspective

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Journal of Systems Science & Complexity 2021年第5期34卷 1973-2002页

作者： CHEN Fei REN Wei State Key Laboratory of Synthetical Automation for Process Industries Northeastern UniversityShenyang 110004China School of Control Engineering Northeastern University at QinhuangdaoQinhuangdao 066004China. Department of Electrical and Computer Engineering University of CaliforniaRiversideCA 92521USA

Progress in development of multi-agent control is *** approaches for multiagent control,estimation,and optimization are discussed in a systematic way with particular emphasis on the graph-theoretic *** is paid to the design of multi-agent systems via Laplacian dynamics,as well as the role of the graph Laplacian spectrum,the challenges of unbalanced digraphs,and consensus-based estimation of graph *** emergent issues,e.g.,distributed optimization,distributed average tracking,and distributed network games,are also reported,which have witnessed extensive development *** are over 200 references listed,mostly to recent contributions.

关键词： Consensus cooperative control distributed average tracking distributed optimization multi-agent system

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Finite Horizon Pareto-Optimal Control for Multi-Controller Cyber-Physical Systems under DoS Attacks

IEEE Transactions on Industrial Cyber-Physical Systems

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IEEE Transactions on Industrial Cyber-Physical Systems 2025年 3卷 362-371页

作者： Tan, Cheng Zhang, Qinglong Di, Jianying Li, Yuzhe QuFu Normal University School of Engineering Shandong Rizhao276800 China Northeastern University College of Information Science and Engineering Shenyang110004 China Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang110004 China

In this paper, we study multi-controller cyberphysical systems (MCPSs) characterized by the presence of multiple controllers engaging in cooperative game interactions. Due to Denial-of-Service (DoS) attacks on the transmission channel, packet loss may occur in the delivery of control signals from the controllers to the actuator, which necessitates each controller to adopt optimal strategies to minimize its own cost function. Specifically, Pareto optimization is employed in this paper to derive Pareto-optimal strategies and cost function for MCPSs. In contrast to previous studies, we focus on solving the Pareto-optimal strategies of MCPSs using generalized difference Riccati equations (GDREs). This method relies on the equivalence between Pareto-optimal strategies and optimal strategies of the weighted cost function in the case of convex functions, thereby facilitating the derivation of corresponding minimum input costs. Ultimately, the efficacy of the proposed methodologies is validated through two illustrative numerical examples. © 2023 IEEE.

关键词： Cost functions

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H8Control of Linear Uncertain Systems with Positivity Constraints 13

H8Control of Linear Uncertain Systems with Positivity Constr...

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13th Asian Control Conference, ASCC 2022

作者： Yang, Nachuan Li, Yuzhe Shi, Ling Hong Kong University of Science and Technology Department of Electronic and Computer Engineering Hong Kong Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang110004 China

ISBN: (纸本)9788993215236

This paper fills the literature gap by considering the worst-case H8 performance of continuous-time positive linear systems with structured uncertainty. The necessary and sufficient conditions on the positivity of structured uncertain systems are characterized using second-order cone programming (SOCP). More specifically, we reformulate the worst-case H8 control problem as a min-max semidefinite programming (SDP) based on the extended bounded real lemma for positive systems. Then we equivalently transform the min-max SDP into an SDP with linear matrix inequality (LMI) constraints, which turns out to be a convex programming. Finally, we provide several simulations to verify the effectiveness of the proposed results. © 2022 ACA.

关键词： H-infinity positive systems uncertain systems

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Traffic Modeling and Rescheduling for High-speed Train Based on Block Sections 4

Traffic Modeling and Rescheduling for High-speed Train Based...

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4th International Conference on Data-Driven Optimization of Complex Systems, DOCS 2022

作者： Yue, Peng Jin, Yaochu Dai, Xuewu Cui, Dongliang Shi, Qi Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang110819 China University of Bielefeld Nature Inspired Computing and Engineering Group BielefeldD-33619 Germany

ISBN: (数字)9781665459822

ISBN: (纸本)9781665459822

Affected by unexpected events, the nominal operation of high-speed trains will become invalid. To maintain the efficiency of trains, train dispatchers need to reschedule the train timetable, which is a challenging task. On the one hand, the dispatchers need to take into account complex conflicts between trains on the track;on the other hand, the rescheduled timetable should be efficient to reduce operating costs. To address the above issues, this study proposes a traffic modeling method for high-speed trains based on a block section to describe in detail the operation conflicts between trains. A train rescheduling approach combining reinforcement learning and model predictive control is proposed to accomplish train rescheduling efficiently. The experiments show the effectiveness of the proposed method. © 2022 IEEE.

关键词： Reinforcement learning

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Reliable H ∞ guaranteed cost control for uncertain switched fuzzy stochastic systems with multiple time-varying delays and intermittent actuator and sensor faults

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Neural Computing and Applications 2021年第4期33卷 1343-1365页

作者： Sun, Shaoxin Zhang, Huaguang Sun, Jiayue Li, Weihua College of Information Science and Engineering Northeastern University Shenyang110004 China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University ShenyangLiaoning110004 China

In this paper, the issue of delay-dependent passive fault-tolerant control and optimal guaranteed cost control is considered for multiple time-varying delayed switched Takagi–Sugeno (T–S) fuzzy stochastic systems against intermittent actuator and sensor faults, model uncertainties, external disturbances and measurement noise. This is the first attempt to implement H∞ guaranteed cost control for switched T–S fuzzy stochastic systems with intermittent actuator and sensor faults which allows more kinds of faults. Thus, the method has a wider application range. A dynamic output feedback controller is designed. Then, a closed-loop system is constructed. Stability results of reliable H∞ guaranteed cost control are given via piecewise fuzzy Lyapunov function in terms of linear matrix inequalities. Slack matrices are not required at all. The conservatism of this paper is relatively low. At last, the effectiveness of the addressed approach is presented by explanatory examples. © 2020, Springer-Verlag London Ltd., part of Springer Nature.

关键词： Stochastic systems

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Local Search Enhanced Multi-Objective Evolutionary Algorithm for Fuzzy Flexible Job Shop Scheduling

Local Search Enhanced Multi-Objective Evolutionary Algorithm...

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IEEE Symposium Series on Computational Intelligence (SSCI)

作者： Xuwei Zhang Ziyan Zhao Shixin Liu The State Key Laboratory of Synthetical Automation for Process Industries College of Information Science and Engineering Northeastern University Shenyang China

The uncertainty in actual manufacturing systems often manifests as uncertain processing times, especially in flexible manufacturing systems. This work proposes a Decomposition-based Evolutionary Algorithm with Local Search (DLSEA) to solve flexible scheduling with fuzzy processing times by minimizing makespan and total machine workload. Considering the different scales of objectives, two normalization methods are employed on subpopulations, respectively, aiming to mitigate the potential detrimental effects of a single normalization method. This work also introduces a local search method to enhance the performance of DLSEA. The proposed DLSEA is compared with four state-of-the-art algorithms on two series of cases. The experimental results show that DLSEA exhibits superior search capabilities.

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Estimation of Copper Flotation Concentrate Grade using ResVit:a dual path network based on Resnet and Vision transformer

Estimation of Copper Flotation Concentrate Grade using ResVi...

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第34届中国过程控制会议

作者： Qiang Li Yijun Chen Zhiqiang Wang Dakuo He School of Information Science and Engineering Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Northeastern University

Flotation is an extremely important mineral separation method,where the concentrate grade is one of the important production indicators of the flotation ***,a deep learning based grade prediction framework is proposed in this *** proposed network ResVit allows the classical convolutional neural network model(ResNet)and the visual converter to run in parallel and fuses the features learned from each of the two networks into a more informative feature vector that contributes to a more precise estimation of flotation concentrate *** results show that the proposed network outperforms other methods in terms of accuracy,and the mean absolute error(MAE) can achieve 0.6563.

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