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SSRN 2023年

作者： Xie, Yuan Zou, Tao Chen, Ci Sun, Weijun Xie, Shengli School of Mechanical and Electrical Engineering Guangzhou University Guangdong-Hong Kong-Macao Key Laboratory of Multi-scale Information Fusion and Collaborative Optimization Control of Complex Manufacturing Process Guangzhou510006 China School of Automation Guangdong University of Technology Joint International Research Laboratory of Intelligent Information Processing and System Integration of IoT Ministry of Education of the P.R.C. Guangzhou510006 China School of Automation Guangdong University of Technology Guangdong Key Laboratory of IoT Information Processing Guangdong-HongKong-Macao Joint Laboratory for Smart Discrete Manufacturing Guangzhou510006 China School of Automation Guangdong University of Technology Key Laboratory of Intelligent Detection and the IoT in Manufacturing Ministry of Education 111 Center for Intelligent Batch Manufacturing Based on IoT Technology Guangzhou510006 China

Blind source separation with high reverberation and echoes is an open and extremely challenging issue. Room reverberation and echoes have an important influence on acoustics quality, causing great difficulty in independent source separation. In the paper, an adaptive time-frequency blind source separation algorithm (ATF-BSS) is designed to deal with high reverberation and echoes, which can adaptively attenuate audible echoes and enhance the harmonic structure of real-world audio signals, achieving excellent separation performance. Firstly, an equalizer network is designed for the room impulse response to weakening audible echoes under high reverberation and echo environments without changing the perceived timbre. Furthermore, an adaptive time-frequency Wiener-like masking is presented to enhance the dominant signal and attenuate the other components that have less energy than the dominant signal. ATF-BSS algorithm incorporates the advantages of an equalizer network for removing or weakening audible echoes and adaptive time-frequency masking for high reverberation and echoes scene, improving the performance of blind separation. Experimental results on public audio datasets demonstrate that the proposed ATF-BSS algorithm improves signal intelligibility and achieves much better separation performance than state-of-the-art methods. © 2023, The Authors. All rights reserved.

关键词： Reverberation

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A Vector control-based Design of Multi-port Interline DC Power Flow controller for HVDC system

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Electric Power systems Research 2025年 248卷

作者： Khan, Muhammad Qasim Khan, Muhammad Mansoor Nawaz, Arshad Wang, Haibing Chengmin, Wang School of Electrical Engineering and Key Laboratory of Control of Power Transmission and Transformation Ministry of Education of China Shanghai Jiao Tong University Shanghai China School of Automation and Key Laboratory of System Control Information Processing Ministry of Education of China Shanghai Jiao Tong University Shanghai China University of Shanghai for Science and Technology Shanghai China

The Interline DC Power Flow controller (IDCPFC) represents a significant advancement in power distribution and control within Multi-Terminal High Voltage DC (MT-HVDC) systems. Traditional IDCPFC control without external voltage support suffers from coupling issues due to coupled dynamics, which limits transient response in multi-legged converter-based IDCPFC systems. This paper introduces a novel approach that employs vector-based decomposition to address this issue by decoupling current regulation from DC-link voltage regulation, thereby efficiently managing DC power flow across multiple transmission lines in the grid. Furthermore, the concept of zero-sequence control for IDCPFC is introduced. The incorporation of the zero-sequence algorithm increases modulation depth by up to 25%, enhancing DC link voltage utilization and improving system efficiency by reducing switching losses by up to 12%. The proposed method undergoes a detailed analysis encompassing network topology, operational principles, and decoupled control strategies. Simulations and experimental results validate the method's effectiveness under various grid scenarios. © 2025

关键词： Decouple control Interline DC Power Flow controller Multi-port HVDC Zero-sequence Algorithm

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A Time Synchronization Algorithm with Delay Jitter Tolerance in Single Twisted Pair Ethernet

A Time Synchronization Algorithm with Delay Jitter Tolerance...

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Chinese automation Congress (CAC)

作者： Xing Liu Zhezhuang Xu Xiaochang Li Xuchao Gao Jinglong Zhang College of Electrical Engineering and Automation Fuzhou University Fuzhou China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai China

ISBN: (数字)9781728176871

ISBN: (纸本)9781728176888

The single twisted pair ethernet uses one twisted pair to provide ethernet service with fast data transmission and low cost. It can reuse the cables in the field bus, such that it becomes a promising solution for connecting field devices to the industrial internet. Nevertheless, due to delay jitter generated by the relatively harsh transmission media, the accuracy of time synchronization can hardly be guaranteed in the single twisted pair ethernet. To solve this problem, in this paper, we build a testbed of single twisted pair ethernet, and analyze its performance of time synchronization. Based on the study of the delay jitter, we propose a time synchronization algorithm which uses an adaptive offset threshold to tolerate the delay jitter. Experiments are executed in the testbed to prove the effectiveness of the proposed algorithm.

关键词： Delays Synchronization Ethernet Jitter Clocks Propagation delay Protocols

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Distributed disturbance-observer-based vibration control for a flexible-link manipulator with output constraints

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Science China(Technological Sciences) 2018年第10期61卷 1528-1536页

作者： YANG HongJun LIU JinKun HE Wei State Key Laboratory of Management and Control for Complex System Institute of Automation Chinese Academy of Sciences School of Automation Science and Electrical Engineering Beihang University School of Automation and Electrical Engineering University of Science and Technology Beijing

The issue of output constraints is studied for a flexible-link manipulator in the presence of unknown spatially distributed disturbances. The manipulator can be taken as an Euler-Bernoulli beam and its dynamic is expressed by partial differential equations. On account of the uncertainty of disturbances, we present a disturbance observer to estimate infinite dimensional disturbances on the beam. The observer is proven exponentially stable. Considering the problem of output constraints in the practical engineering, we propose a novel distributed vibration controller based on the disturbance observer to fulfill the position regulation of the joint angle and suppress elastic deflections on the flexible link, while confining the regulating errors of output in a suitable scope that we can assign. The closed-loop system is demonstrated exponentially stable based on an integral-barrier Lyapunov function. Simulations validate the effectiveness of the design scheme.

关键词： flexible manipulator distributed vibration control disturbance observer partial differential equation output constraint distributed parameter system

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Distributed Fault-Tolerant Formation Game for Quadrotor UAVs With Hybrid Attacks

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IEEE Transactions on Aerospace and Electronic systems 2025年

作者： Zhang, Rui-Ming Yao, Xiang-Yu Wang, Leimin Park, Ju H. Ge, Ming-Feng China University of Geosciences School of Mechanical Engineering and Electronic Information Wuhan430074 China Ministry of Education Key Laboratory of System Control and Information Processing Shanghai200240 China China University of Geosciences School of Automation Wuhan430074 China Yeungnam University Department of Electrical Engineering Gyeongsan38541 Korea Republic of

This manuscript studies the distributed faulttolerant formation for quadrotor unmanned aerial vehicles (QUAVs) subject to actuator failures and hybrid cyber attacks via a game-theoretical approach. The desired formation, which aligns with optimal self-interests, is achieved by seeking the Nash equilibrium (NE) of the game under a strongly connected directed graph. First, a secure fault-tolerant NE seeking algorithm is presented to handle actuator failures and false data injection (FDI) attacks, with the false data being measured through extended state observers (ESOs). The proposed algorithm is established on pseudo-gradient dynamics, in which a local estimate law is used to anticipate the actions of other QUAVs. Then, an ESOsbased algorithm is developed to mitigate the influence of FDI and denial-of-service (DoS) attacks, guaranteeing that all QUAVs exponentially converge to an adjustable small domain of NE by Lyapunov stability analysis. This work is distinct from existing studies by addressing the practical scenario, where physical failures and hybrid cyber attacks occur simultaneously in the game framework of QUAVs. Eventually, numerical experiments are conducted to demonstrate the efficacy of theoretical findings. © 1965-2011 IEEE.

关键词： Drones

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Sampled-Data Observer Design With Exponential Time-Varying Gains for Semilinear Parabolic PDE systems

Sampled-Data Observer Design With Exponential Time-Varying G...

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Chinese automation Congress (CAC)

作者： Zi-Peng Wang Huai-Ning Wu Han-Xiong Li Tingwen Huang Tao Shen School of Electrical Engineering University of Jinan Jinan China Science and Technology on Aircraft Control Laboratory School of Automation Science and Electrical Engineering Beihang University Beijing China City University of Hong Kong Hong Kong Science Program Texas A&M University at Qatar Doha Qatar HIT Robot Group Co. Ltd China

ISBN: (纸本)9781665426480

For semilinear parabolic PDE systems, the sampled-data observer (SDO) design under spatially point measurements (SPMs) with exponential time-varying gains is concerned. On basis of a Lyapunov functional, a SDO with exponential time-varying gains under SPMs via linear matrix inequalities is presented to guarantee the exponential stability of estimation error PDE system. Lastly, two numerical examples are provided to support the proposed SDO design approach.

关键词： Estimation error automation Stability Observers Gain measurement Linear matrix inequalities control theory

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Inverse linear-quadratic discrete-time finite-horizon optimal control for indistinguishable homogeneous agents: a convex optimization approach

arXiv

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arXiv 2021年

作者： Zhang, Han Ringh, Axel Department of Automation School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai200240 China Department of Mathematical Sciences Chalmers University of Technology University of Gothenburg Gothenburg41296 Sweden

The inverse linear-quadratic optimal control problem is a system identification problem whose aim is to recover the quadratic cost function and hence the closed-loop system matrices based on observations of optimal trajectories. In this paper, the discrete-time, finite-horizon case is considered, where the agents are also assumed to be homogeneous and indistinguishable. The latter means that the agents all have the same dynamics and objective functions and the observations are in terms of "snap shots" of all agents at different time instants, but what is not known is "which agent moved where" for consecutive observations. This absence of linked optimal trajectories makes the problem challenging. We first show that this problem is globally identifiable. Then, for the case of noiseless observations, we show that the true cost matrix, and hence the closed-loop system matrices, can be recovered as the unique global optimal solution to a convex optimization problem. Next, for the case of noisy observations, we formulate an estimator as the unique global optimal solution to a modified convex optimization problem. Moreover, the statistical consistency of this estimator is shown. Finally, the performance of the proposed method is demonstrated by a number of numerical examples. Copyright © 2021, The Authors. All rights reserved.

关键词： Convex optimization

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A Safe Hierarchical control Scheme Incorporated with Constrained Deep Neural Networks

A Safe Hierarchical Control Scheme Incorporated with Constra...

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第三十九届中国控制会议

作者： Hongyuan Wang Jingcheng Wang Haotian Xu Shangwei Zhao Xiaocheng Li Yuanhao Shi Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai School of Electrical and Control Engineering North University of China

A methodology is proposed for the control design of hierarchical systems. The high layer makes a decision without knowing the overall systems dynamics precisely. This procedure is implemented by a deep neural network constructed ***, to handle the safe learning issue, an additional technique is developed to guarantee constraints satisfaction of the trained neural network. At the underlying layer, local model predictive control（MPC） controllers are designed to regulate the subsystems to follow the optimal trajectories derived from high layer. The sample data from lower layer is utilized as the training set of neural network in high layer. The efficacy of the presented algorithm is illustrated in a simulation example.

关键词： Hierarchical multilevel and multilayer control Energy Management Model Predictive control Deep Neural Network Safe Learning

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Sampled-Data Observer Design for Space-Varying Distributed Parameter systems

Sampled-Data Observer Design for Space-Varying Distributed P...

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第三十九届中国控制会议

作者： Zi-Peng Wang Huai-Ning Wu Tingwen Huang School of Electrical Engineering University of Jinan Science and Technology on Aircraft Control Laboratory School of Automation Science and Electrical EngineeringBeihang University Science Program Texas A&M University at Qatar

This paper considers the sampled-data observer design problem of space-varying distributed parameter systems（DPSs）. By utilizing a Lyapunov functional, a sampled-data observer design is developed by spatial linear matrix inequalities（SLMIs） to guarantee the exponential stability for the estimation error DPS. Furthermore, to solve SLMIs, the sampled-data observer design for space-varying DPSs is formulated as an LMI feasibility problem. Lastly, simulation results of a numerical example are provided to illustrate the effectiveness of the proposed method.

关键词： Sampled-data observer distributed parameter systems（DPSs） spatial linear matrix inequality（SLMI）

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Research on Demand Response Strategy of Integrated Energy system Based on Hybrid Particle Swarm Optimization with Roulette Wheel Operator

Research on Demand Response Strategy of Integrated Energy Sy...

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第33届中国控制与决策会议

作者： Shuying Ren Yan Zhao Tieyan Zhang Yuri Wang Lin Tong School of Elecrtic Power Shenyang Institute of Engineering School of Renewable Energy Shenyang Institute of Engineering Key Laboratory of Regional Multi-energy System Integration and Control Liaoning Province School of Automation and Electrical Engineering Shenyang Ligong University Huludao Power Supply Company State Grid Liaoning Electric Power Supply Co.Ltd.

As one of the core elements of the technology base of the smart energy industry,the comprehensive energy system standard plays a link and catalytic role in promoting China's energy equipment manufacturing,the safe and stable operation of power systems,and the industrialization of scientific and technological *** response can play an important role in the consumption of renewable energy in integrated energy *** paper establishes an objective function to minimize the cost of integrated energy system and optimize user power *** the multiple objective functions and constraints,the traditional single objective optimization model can no longer meet the present problem *** view of the demand response in the integrated energy system,a multi-objective optimization method,the hybrid particle swarm algorithm with roulette operator,is *** algorithm can make the game *** partial optimal solution is spread globally to find the optimal scheduling strategy.

关键词： Integrated energy Demand response Particle swarm optimization Multi-objective optimization and photovoltaic power generation

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