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3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing, CAMMIC 2023

作者： Shi, Hongbing Zhang, Jinhui Pei, Zhongcai School of Automation Science and Electrical Engineering Beihang University Beijing China North Information Control Research Institute Group Co. Ltd. China

ISBN: (数字)9781510667617

ISBN: (纸本)9781510667600

As brain-computer interface (BCI) technology continues to advance in various fields, it has become one of the possible solutions for patients with motor dysfunction who have healthy thinking ability to regain motor ability. The vigorous development of deep learning (DL) provides it with a possible tool to analyze electroencephalogram (EEG) signals. Through analyzing and categorizing EEG signals associated with motor imagery (MI), the system can effectively perceive the patient's motor intentions. Currently, Convolutional Neural Networks (CNN) have exhibited exceptional performance in a variety of fields, including computer vision (CV) and natural language processing (NLP). However, the brain structure has rich spatial information, which was not fully utilized by CNN for MI-EEG signal analysis in the past. This paper introduces SP-CNN, a convolutional neural network that incorporates spatial information from the brain, to address the classification challenge of MI-EEG signals. The experimental findings indicate that this method exhibits stable and robust performance across diverse subjects. © 2023 SPIE.

关键词： Electroencephalography

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Intermittent control for Fixed-Time Synchronization of Coupled Networks

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IEEE/CAA Journal of Automatica Sinica 2023年第6期10卷 1488-1490页

作者： Yongbao Wu Ziyuan Sun Guangtao Ran Lei Xue the School of Automation Southeast UniversityNanjing 210096China the Department of Applied Mathematics University of WaterlooOntario N2J 4N3Canada the Department of Control Science and Engineering Harbin Institute of TechnologyHarbin 150001China

Dear Editor, This letter deals with fixed-time synchronization(Fd-TS) of complex networks(CNs) under aperiodically intermittent control(AIC)for the first time. The average control rate and a new Lyapunov function are ... 详细信息

关键词： synchronization Synchronization overcome

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Multi-Trajectory Prediction of Pedestrian Based on Deep Neural Network Architecture 6

Multi-Trajectory Prediction of Pedestrian Based on Deep Neur...

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6th IEEE International Conference on Knowledge Innovation and Invention, ICKII 2023

作者： Astuti, Lia Lin, Yu-Chen Chen, Wen-Hui Feng Chia University Department of Automatic Control Engineering Taichung Taiwan National Taipei University of Technology Department of Graduate Institute of Automation Technology Taipei Taiwan

ISBN: (纸本)9798350323535

Multimodal learning input has been used to predict the single trajectory of pedestrians. However, the single-trajectory is not efficient in making the vehicle avoid the sudden direction changes of the pedestrian in the drivable area. Therefore, we proposed a multi-trajectory prediction model with a Deep Neural Network (DNN) using an egocentric perspective. First, we input unimodal learning i.e., the historical trajectory sequences into the temporal encoder module. Second, the vision DNN-based network module was used to process the trajectory predictions through the temporal attention mechanism. Third, the linear projection was used for the decoder module to generate single- and multi-trajectory predictions for collision avoidance of vehicles and pedestrians. Finally, the proposed model outperformed previous state-of-the-art models in the experiments on publicly available Pedestrian Intention Estimation (PIE) and Joint Attention in Autonomous Driving (JAAD) datasets. © 2023 IEEE.

关键词： Trajectories

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Unmanned Air-Ground Vehicles Path Planning Using Model Predictive control

Unmanned Air-Ground Vehicles Path Planning Using Model Predi...

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International Conference on Artificial Intelligence and Autonomous Transportation, AIAT 2024

作者： Gu, Yuanwen Wang, Mi Wu, Huaining Li, Chenlong Li, Gang School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Hangzhou International Innovation Institute Beihang University Hangzhou311115 China Hangzhou Innovation Institute Beihang University Hangzhou310051 China Department of Control Science and Engineering Tongji University Shanghai201800 China

ISBN: (纸本)9789819639649

In this article, the problem of air-ground vehicles path planning is investigated. The objective is to navigate each vehicle from its starting position to the intended destination, while avoiding collisions with obstacles and other vehicles. First, by combining the objective functions of unmanned ground vehicle (UGV) and unmanned aerial vehicles (UAVs) with the constraints of system equations, control constraints and obstacle avoidance constraints, the vehicles’ path planning is formulated as multiple model predictive control (MPC) problems. Second, considering the interdependencies inherent in these optimization problems, we employ an assumed state method to decouple them effectively. Third, the control inputs of the UGV and UAVs are obtained by solving quadratic programming problems and thus the vehicles’ path can be obtained. Finally, a simulation example is shown to illustrate the effectiveness of the proposed path planning method. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Predictive control systems

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Differentially Private Distributed Parameter Estimation

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Journal of Systems Science & Complexity 2023年第1期36卷 187-204页

作者： WANG Jimin TAN Jianwei ZHANG Ji-Feng School of Automation and Electrical Engineering University of Science and Technology BeijingBeijing 100083China Key Laboratory of Systems and Control Institute of Systems ScienceAcademy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190China School of Mathematical Sciences University of Chinese Academy of SciencesBeijing 100049China

Data privacy is an important issue in control systems,especially when datasets contain sensitive information about *** this paper,the authors are concerned with the differentially private distributed parameter estimation problem,that is,we estimate an unknown parameter while protecting the sensitive information of each ***,the authors propose a distributed stochastic approximation estimation algorithm in the form of the differentially private consensus+innovations(DP-CI),and establish the privacy and convergence property of the proposed ***,it is shown that the proposed algorithm asymptotically unbiased converges in mean-square to the unknown parameter while differential privacy-preserving holds for finite number of ***,the exponentially damping step-size and privacy noise for DP-CI algorithm is *** estimate approximately converges to the unknown parameter with an error proportional to the step-size parameter while differential privacy-preserving holds for all *** tradeoff between accuracy and privacy of the algorithm is effectively ***,a simulation example is provided to verify the effectiveness of the proposed algorithm.

关键词： Differential privacy distributed parameter estimation stochastic approximation

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The Overview of Frequency Regulation Coordinated control for MMC-HVDC Connecting Wind Farms

The Overview of Frequency Regulation Coordinated Control for...

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2024 CPSS and IEEE International Symposium on Energy Storage and Conversion, CPSS and ISESC 2024

作者： Zhang, Jingyi Tian, Zhen Hua, Xiaojun Li, Weibing Jiang, Dingguo Zha, Xiaoming School of Electrical Engineering and Automation Wuhan University Laboratory of Hydro-Wind-Solar Multi-energy Control Coordination Wuhan China Institute of Science and Technology China Three Gorges Corporation Beijing China

ISBN: (纸本)9798350380514

Modular multilevel converter based high voltage direct current (MMC-HVDC) transmission is the mainstream technology for offshore wind farms with long distances of more than 80km integration. With the development of technology, the frequency stability problem due to the low inertia has become the focus of the current research. This paper systematically discusses the coordinated frequency regulation control strategy of MMC-HVDC with wind farms. The common symmetrical monopole/ bipolar MMC-HVDC system structures in engineering are first introduced. Next, The frequency regulation control for MMC-HVDC and wind farms (WFs) and the frequency sensing method used for coordination are summarized. Finally, this paper looks forward to the future research direction of MMC-HVDC connecting wind farms regarding frequency regulation capability assessment, and grid-forming fault ride-Through control. © 2024 IEEE.

关键词： Offshore wind farms

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Bearing Remaining Useful Life Prediction Combining Trajectory Similarity and Relevance Vector Machine 41

Bearing Remaining Useful Life Prediction Combining Trajector...

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第41届中国控制会议

作者： Zhuyi Li Kesen Fan Cong Zhang Sihang Zhang Yiming Wan Key Laboratory of Image Processing and Intelligent Control Ministry of Education Chinaand School of Artificial Intelligence and AutomationHuazhong University of Science and Technology Beijing Institute of Control Engineering

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Bearing remaining useful life(RUL) prediction is critical for safe operation of rotating *** this paper,we propose a combined RUL prediction approach that leverages both trajectory similarity and relevance vector machine(RVM).The similarity based prediction relies on historical degradation trajectories that are highly similar to the online data,hence would perform poorly if all historical trajectories have low similarity with the online *** RVM based prediction relies solely on a regression model learned from the available online data,thus gives an inaccurate prediction when insufficient data are available in the early stage of degradation.A weighted sum of these above two predictions is proposed to address the limitation of each single prediction method,whose weights are determined by solving a non-negative least squares fitting *** further improve RUL prediction accuracy,we distinguish between fast and slow degradation modes,so that each mode uses a different set of historical degradation trajectories and kernel *** doing so,we predict RUL under the identified *** case study using the PHM2012 dataset demonstrates the effectiveness of the proposed RUL prediction approach.

关键词： Bearing degeneration remaining useful life prediction relevance vector machine trajectory similarity

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Distributed Nash Equilibrium Seeking of Networked Nonlinear Systems over Directed Graphs 41

Distributed Nash Equilibrium Seeking of Networked Nonlinear ...

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第41届中国控制会议

作者： Xinyu Liu Han Yan Xinghu Wang Haibo Ji Departement of Automation University of Science and Technology of China Science and Technology on Space Intelligent Control Laboratory Beijing Institute of Control Engineering Beijing SunWise Space Technology Ltd

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

In this paper,the distributed Nash equilibrium seeking problem of aggregative games,with players been presented by uncertain nonlinear systems over directed graphs,is *** problem aims at designing a distributed algorithm for each player such that the player's state is bounded,while the player's output converges to the Nash equilibrium point.A dynamic compensator is firstly proposed by utilizing gradient-based protocol and average consensus *** the distributed Nash equilibrium seeking problem is converted into a tracking ***,the resulting tracking problem is addressed by developing a novel output feedback *** is shown that the concerned distributed Nash equilibrium seeking problem can be solved by the distributed algorithm composed of the dynamic compensator and the output feedback controller.

关键词： Aggregative game uncertain nonlinear system Nash equilibrium directed graph

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Prescribed-time stabilization for high-order nonlinear systems with a pre-specified asymmetric output constraint

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Journal of the Franklin institute 2023年第4期360卷 3545-3574页

作者： Chen, Chih-Chiang Sun, Zong-Yao Xu, Sendren Sheng-Dong Department of Systems and Naval Mechatronic Engineering National Cheng Kung University Tainan70101 Taiwan Institute of Automation Qufu Normal University Shandong Province Qufu273165 China Graduate Institute of Automation and Control National Taiwan University of Science and Technology Taiwan Advanced Manufacturing Research Center National Taiwan University of Science and Technology Taiwan

This article considers the problem of prescribed-time stabilization for a class of uncertain high-order nonlinear systems (i.e., systems in the p-normal form) with a pre-specified asymmetric output constraint. A core ingredient, tangent-type barrier function, is proposed first by skillfully excavating and assimilating the inherent properties of system nonlinearities. Based on the barrier function, as well as a serial of nested signum functions, the celebrated technique of adding a power integrator is renovated finely to establish a new design approach by which a continuous state feedback prescribed-time stabilizer, along with a tangent-type asymmetric barrier Lyapunov function, can be constructed in a systematic fashion, thereby guaranteeing the performance of prescribed-time state convergence and ensuring the fulfillment of pre-specified output constraints surely. Benefiting from the composite characteristics of the presented tangent-type barrier Lyapunov function and the signum functions, the proposed approach further offers a unified nature in design enabling us to organize a prescribed-time stabilizer that is simultaneously valid and executable for the system undergone or free from output constraints, without the need of changing the controller structure. The effectiveness and superiority of the developed approach are illustrated by a numerical example. © 2022 The Franklin institute

关键词： Lyapunov functions

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Adaptive fuzzy asymptotic control design for MIMO nonlinear systems with state constraints

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Journal of control and Decision 2023年第4期10卷 610-623页

作者： Yongchao Liu Bowen Zeng Qidan Zhu Lipeng Wang Institute of Complexity Science School of AutomationQingdao UniversityQingdaoPeople’s Republic of China Shandong Key Laboratory of Industrial Control Technology QingdaoPeople’s Republic of China College of Intelligent Systems Science and Engineering Harbin Engineering UniversityHarbinPeople’s Republic of China

This paper addresses the asymptotic control problem of uncertain multi-input and multi-output(MIMO)nonlinear *** considered MIMO systems contain unknown virtual control coefficients(UVCCs)and state *** Lyapunov function by associating with the lower bounds of UVCCs is presented to counteract the adverse effect deriving from *** state constraints are ensured by utilising the barrier Lyapunov ***,the asymptotic tracking controller is recursively constructed by combining the backstepping technique with fuzzy logic *** remarkable character of the designed controller is that the asymptotic tracking performance can be achieved by introducing some smooth functions into adaptive backstepping *** contrast to the existing results,the conditions on the UVCCs are ***,the new control design is illustrated by a practical example.

关键词： Asymptotic tracking control state constraints bound estimation method nonlinear systems

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