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8th International Conference on control Science and systems Engineering, ICCSSE 2022

作者： Huang, Jinpeng Hu, Jun Li, Jiaxing Cao, Zhipeng Harbin University of Science and Technology Department of Mathematics Harbin150080 China Harbin University of Science and Technology Heilongjiang Prov. Key Lab. of Optimization Control and Intelligent Analysis for Complex Systems Harbin150080 China

ISBN: (纸本)9781665484138

In this paper, an adaptive event-triggered filtering problem is discussed for power systems subject to multiple cyberattacks and hybrid measurements. A model describing the multiple cyber-attacks is constructed, which includes the denial of service attack and replay attack. In order to decrease the data transmission frequency, according to the practical requirements, an adaptive event-triggered strategy is adopted to schedule the node transmission. To be specific, the upper bound of the estimation error covariance is firstly obtained by solving the difference equations and employing the time-stamp method. Next, the desired estimator gain matrix is designed by minimizing the corresponding upper bound. Finally, an illustrative example is used to demonstrate the effectiveness of the proposed estimation algorithm. © 2022 IEEE.

关键词： Denial-of-service attack

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Distributed stochastic mirror descent algorithm for resource allocation problem

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control Theory and Technology 2020年第4期18卷 339-347页

作者： Yinghui Wang Zhipeng Tu Huashu Qin Key Lab of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190China University of Chinese Academy of Sciences Beijing 100190China

In this paper,we consider a distributed resource allocation problem of minimizing a global convex function formed by a sum of local convex functions with coupling *** on neighbor communication and stochastic gradient,a distributed stochastic mirror descent algorithm is designed for the distributed resource allocation *** convergence to an optimal solution of the proposed algorithm is given when the second moments of the gradient noises are summable.A numerical example is also given to illustrate the effectiveness of the proposed algorithm.

关键词： Distributed Resource allocation problem Stochastic gradient Mirror descent

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Reconstructing Groups of People with Hypergraph Relational Reasoning

Reconstructing Groups of People with Hypergraph Relational R...

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International Conference on Computer Vision (ICCV)

作者： Buzhen Huang Jingyi Ju Zhihao Li Yangang Wang Southeast University China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing China Huawei Noah’s Ark Lab

Due to the mutual occlusion, severe scale variation, and complex spatial distribution, the current multi-person mesh recovery methods cannot produce accurate absolute body poses and shapes in large-scale crowded scenes. To address the obstacles, we fully exploit crowd features for reconstructing groups of people from a monocular image. A novel hypergraph relational reasoning network is proposed to formulate the complex and high-order relation correlations among individuals and groups in the crowd. We first extract compact human features and location information from the original high-resolution image. By conducting the relational reasoning on the extracted individual features, the underlying crowd collectiveness and interaction relationship can provide additional group information for the reconstruction. Finally, the updated individual features and the localization information are used to regress human meshes in camera coordinates. To facilitate the network training, we further build pseudo ground-truth on two crowd datasets, which may also promote future research on pose estimation and human behavior understanding in crowded scenes. The experimental results show that our approach outperforms other baseline methods both in crowded and common scenarios. The code and datasets are publicly available at https://***/boycehbz/GroupRec.

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Class conditional distribution alignment for domain adaptation

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control Theory and Technology 2020年第1期18卷 72-80页

作者： Kai CAO Zhipeng TU Yang MING Key Lab of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190China University of Chinese Academy of Sciences Beijing 100190China

In this paper,we study the problem of domain adaptation,which is a crucial ingredient in transfer learning with two domains,that is,the source domain with labeled data and the target domain with none or few *** adaptation aims to extract knowledge from the source domain to improve the performance of the learning task in the target domain.A popular approach to handle this problem is via adversarial training,which is explained by the H△H-distance ***,traditional adversarial network architectures just align the marginal feature distribution in the feature *** alignment of class condition distribution is not ***,we proposed a novel method based on pseudo labels and the cluster assumption to avoid the incorrect class alignment in the feature *** experiments demonstrate that our framework improves the accuracy on typical transfer learning tasks.

关键词： Domain adaptation distribution alignment feature cluster

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Distributed Resilient State Estimation for Time-Varying Fractional-Order Discrete Complex Networks with Encoding-Decoding Scheme 42

Distributed Resilient State Estimation for Time-Varying Frac...

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42nd Chinese control Conference, CCC 2023

作者： Chen, Yu Hu, Jun Li, Jiaxing Zhou, Aozhan Yu, Hui Harbin University of Science and Technology Department of Applied Mathematics Harbin150080 China Harbin University of Science and Technology Heilongjiang Prov. Key Lab. of Optimization Control and Intelligent Analysis for Complex Systems Harbin150080 China School of Automation Harbin University of Science and Technology Harbin150080 China

ISBN: (纸本)9789887581543

In this paper, the distributed state estimation method with resilient attenuation feature is proposed for time-varying fractional-order complex networks under encoding-decoding mechanism. The encoding-decoding-induced dynamic errors for distinct nodes are characterized by the truncated Gaussian distributions. In order to compensate the effects induced by encoding-decoding scheme, the variances of encoding-decoding-induced dynamic errors are considered in process of designing the resilient distributed estimation algorithm. In particular, the upper bounds of updated estimation error covariances are derived firstly. Subsequently, the upper bounds are minimized by constructing the gain matrices at each sampling instant. Besides, a sufficient condition is provided to guarantee the boundedness of estimation error dynamics in the mean-square sense. Finally, the validity of distributed resilient state estimation scheme is demonstrated by a simulation example. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Complex networks

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Recursive Filtering for Time-Varying Nonlinear Delayed systems with Stochastic Parameter Matrices and Censored Measurements 42

Recursive Filtering for Time-Varying Nonlinear Delayed Syste...

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42nd Chinese control Conference, CCC 2023

作者： Yang, Shuo Hu, Jun Gao, Peixia Dong, Ruijie Wu, Zhihui Harbin University of Science and Technology Department of Applied Mathematics Harbin150080 China Harbin University of Science and Technology Heilongjiang Prov. Key Lab. of Optimization Control and Intelligent Analysis for Complex Systems Harbin150080 China School of Automation Harbin University of Science and Technology Harbin150080 China

ISBN: (纸本)9789887581543

This paper discusses the design problem of recursive filtering method for time-varying nonlinear delayed systems (NDSs) with stochastic parameter matrices (SPMs) and censored measurements. In particular, the Tobit Type I model provides a description of the censored measurements. The main objective of this paper is to construct a recursive filter for NDSs with both SPMs and censored measurements. The upper bound of the filtering error covariance is first calculated via mathematical induction, and the upper bound is then minimized by choosing proper filter gain. Besides, a sufficient condition is provided to guarantee that the filtering error is uniformly bounded in the mean-square sense. Finally, the viability and applicability of the proposed filtering method are demonstrated using a numerical simulation. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Stochastic systems

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Robust Data-Driven control Against Actuator FDI for Unknown Linear systems

Robust Data-Driven Control Against Actuator FDI for Unknown ...

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International Conference on control and Automation (ICCA)

作者： Wenjie Liu Jian Sun Fang Deng Gang Wang Jie Chen National Key Lab of Autonomous Intelligent Unmanned Systems School of Automation Beijing Institute of Technology Beijing China Beijing Institute of Technology Chongqing Innovation Center Chongqing China Department of Control Science and Engineering Tongji University Shanghai China National Key Lab of Autonomous Intelligent Unmanned Systems Beijing Institute of Technology Beijing China

ISBN: (数字)9798350354409

ISBN: (纸本)9798350354416

This paper designs a data-driven controller for unknown linear systems whose actuators suffer from false data injection (FDI) attacks, using only noisy input-state data. To achieve this objective, a general FDI attack model is introduced, which imposes constraints only on the switching frequency of attack channels and the magnitude of attack matrices. A time-varying state feedback control law is designed based on offline and online input-state data, which adapts to the channel switching of FDI attacks. This is achieved by solving a data-based semi-definite programs (SDPs) on-the-fly such that stabilizing the set of subsystems consistent with both offline clean data and online attack-corrupted data. It is shown that under mild conditions on the attack and the noise, the feasibility of the proposed SDP guarantees that the controller stabilizes the attack-corrupted system. A numerical example is presented to validate the effectiveness of the proposed method.

关键词： Linear systems Switched systems Actuators State feedback Switching frequency Switches control systems

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Outlier-Resistant Distributed Filtering for Multi-Rate Nonlinear systems Under Amplify-and-Forward Relays 42

Outlier-Resistant Distributed Filtering for Multi-Rate Nonli...

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42nd Chinese control Conference, CCC 2023

作者： Fan, Shuting Hu, Jun Jia, Chaoqing Zhao, Hairui Harbin University of Science and Technology Department of Applied Mathematics Harbin150080 China Harbin University of Science and Technology Heilongjiang Prov. Key Lab. of Optimization Control and Intelligent Analysis for Complex Systems Harbin150080 China School of Automation Harbin University of Science and Technology Harbin150080 China

ISBN: (纸本)9789887581543

In this paper, the outlier-resistant distributed filtering problem based on amplify-and-forward relays is studied for discrete time-varying nonlinear multi-rate systems with multiple measurement delays over sensor networks, where the augmenting method is utilized to transform the multi-rate system into a single rate system. An amplify-and-forward (AF) relay is set between the sensor and the filter to extend the transmission distance of the signal and ensure the communication transmission quality. The outlier-resistant distributed filter is constructed by introducing a saturation function to limit the innovations, then the upper bound on the filtering error covariance is obtained and the filter gain is designed to minimize such obtained upper bound. Finally, a numerical example is used to show the effectiveness of the outlier-resistant distributed filtering algorithm based on AF relays. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Nonlinear systems

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Open-Source Chinese Power System with High Spatial and Temporal Resolution 5

Open-Source Chinese Power System with High Spatial and Tempo...

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5th International Conference on Energy, Electrical and Power Engineering, CEEPE 2022

作者： Li, Bo Chen, Minyou Zhong, Haiwang Kammen, Daniel M. Li, Xuyang Chongqing University School of Electrical Engineering Chongqing China Tsinghua University State Key Lab of Control and Simulation of Power Systems and Generation Equipment Beijing China Unversity of California Berkeley Energy and Resource Group Berkeley United States

ISBN: (纸本)9781665479059

Generation Expansion Planning (GEP), electricity market, and grid operation of the power system require a high spatial and temporal resolution model. However, limited data availability is the main obstacle to building a power system model with high resolution. This paper presents a method of constructing an open-source test power system with a high spatial resolution for transmission line topology and generation infrastructures and temporal resolution for variable renewable energy (VRE) sources and electricity demand. In addition, investment and operating cost information of existing infrastructures are summarized. A high-resolution open-source test power system representing China is created only by using publicly available data. The open-source Chinese power system can be used for the GEP model to investigate the low-carbon transition of the power system. © 2022 IEEE.

关键词： Renewable energy sources Power engineering Power transmission lines Energy resolution Power systems Topology Planning

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Evaluation Method of Wind Power Consumption Limitation in Power System with High Proportion of Wind Power 4

Evaluation Method of Wind Power Consumption Limitation in Po...

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4th IEEE China International Electrical and Energy Conference, CIEEC 2021

作者： Wang, Hongye He, Li Lin, Xuelong Ma, Jing An, Baihui Yang, Weixiang Xu, Fei Hou, Tao Li, Jing Feng, Changsheng Li, Junhui Co. Ltd Beijing China State Key Lab of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing China

ISBN: (纸本)9781728171494

In order to study the reasonable capacity of power grid to absorb wind power, a new calculation method is proposed for the combined system of thermal power and wind power. In this paper, the probability and statistics method is used to analyze the output characteristics of wind farm, and the influence of characteristic index on wind farm is studied. A new calculation method of wind power limit is proposed, and the influence of seasonal factors is introduced to study the situation of wind power limit in summer and winter. Through the actual example, the idea and method are provided to formulate the control principle of wind power output, and the rationality and effectiveness of the proposed method are verified. © 2021 IEEE.

关键词： Electric power utilization

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