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2017 IEEE 2nd Information Technology, Networking, Electronic and Automation control Conference (ITNEC 2017)

作者： Zonghe Gao Xianliang Teng Yuanyuan Li Kaifeng Zhang Kun Yuan Wenjun Bi State Key Laboratory of Smart Grid Protection and Control (Nanjing NARI Group Corporation) Key Laboratory of Measurement and Control of Complex Systems of Engineering (Southeast University)

ISBN: (纸本)9781509064151;9781509064144

Directly scheduled unit, as a kind of excellent frequency regulation resource, plays an important role in the control of China's interconnected power grid. First of all, based on the regional control model, the theory of the "closed area" of the direct-dispatching generators is demonstrated, and the mechanism of suppressing the regional control error(ACE) by this method is revealed. Then, based on Virtual Partition(VP), the tie-line bias control(TBC) method for hierarchical control structure is designed. This method enables the power of each tie-line to reach the rated value. Finally, the correctness and feasibility of the proposed method are verified by the standard IEEE 10-unit 39-bus system.

关键词： tie-line bias control directly scheduled unit virtual partition multi-area interconnected system ACE

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Reduction of data amount in data-driven design of linear quadratic regulators

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control Theory and Technology 2024年第4期22卷 532-542页

作者： Shinsaku Izumi Xin Xin School of Systems Engineering Kochi University of TechnologyKamiKochi782-8502Japan School of Automation Southeast Universityand Key Laboratory of Measurement and Control of Complex Systems of EngineeringMinistry of EducationNanjing210096JiangsuChina

This paper discusses the data-driven design of linear quadratic regulators,i.e.,to obtain the regulators directly from experimental data without using the models of *** particular,we aim to improve an existing design method by reducing the amount of the required experimental *** the data amount leads to the cost reduction of experiments and computation for the data-driven *** present a simplified version of the existing method,where parameters yielding the gain of the regulator are estimated from only part of the data required in the existing *** then show that the data amount required in the presented method is less than half of that in the existing method under certain *** addition,assuming the presence of measurement noise,we analyze the relations between the expectations and variances of the estimated parameters and the *** a result,it is shown that using a larger amount of the experimental data might mitigate the effects of the noise on the estimated *** results are verified by numerical examples.

关键词： Data-driven design Linear quadratic regulators Linear systems Riccati equation Stochastic properties

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Automatic Programming System of Painting Robots for Unstructured Workpieces Spraying 36

Automatic Programming System of Painting Robots for Unstruct...

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36th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2021

作者： Liu, Xinkai Xu, Yunhui Zhou, Bo Fang, Fang Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China

ISBN: (纸本)9781665437127

Spraying technology has been applied more and more widely in aeronautical manufacturing field. However, aeronautical test workpieces usually have unstructured and complex shapes, which makes the spraying inefficient and the quality of coating cannot be guaranteed. Therefore, this paper designs an automatic programming and simulation system for aeronautical workpiece spraying. And the kinematics and inverse kinematics modeling of NACHI robot, spraying parameters optimization and trajectory planning of the robot are studied in detail. This paper also designs the simulation experiments on typical aeronautical test workpieces, and the result shows that this system can improve the spraying efficiency and coating thickness effect, which has a certain universality and effectiveness. © 2021 IEEE.

关键词： Inverse kinematics

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Biologically inspired information integration pooling module of spiking neural networks for rolling bearing fault diagnosis

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Expert systems with Applications 2025年 286卷

作者： Shi, Mingfei Jiang, Feng Li, Yongbo Du, Lin MIIT Key Laboratory of Dynamics and Control of Complex Systems Northwestern Polytechnical University Xi'an710072 China Unmanned System Research Institute Northwestern Polytechnical University Xi'an710072 China School of Mechanics Civil Engineering and Architecture Northwestern Polytechnical University Xi'an710072 China School of Aeronautics Northwestern Polytechnical University Xi'an710072 China School of Mathematics and Statics Northwestern Polytechnical University Xi'an710072 China MOE Key Laboratory for Complexity Science in Aerospace Northwestern Polytechnical University Xi'an710072 China

Rolling bearings constitute critical components in mechanical systems, and their effective fault diagnosis plays a vital role in ensuring operational safety and reliability. Despite substantial advancements in diagnostic methodologies, achieving high-precision, low-latency fault detection in large-scale rolling bearing datasets remains a persistent challenge. Artificial neural networks to spiking neural networks (ANN-to-SNN) conversion algorithms offer promising solutions for reducing computational costs and hardware adaptation barriers compared to conventional approaches. However, inherent information degradation during conversion processes has been demonstrated to significantly undermine model performance in terms of accuracy, stability, and interpretability. To overcome these limitations, we propose IIPooling, a novel Information-Integration biological neural mechanism-inspired Pooling module designed to enhance global structural feature extraction. The proposed framework incorporates three core neurobiological information processing principles: (1) promotion, (2) lateral inhibition, and (3) longitudinal inhibition, effectively simulating biological neuronal spiking patterns while optimally utilizing ANN activation characteristics. Additionally, we develop two adaptive learning mechanisms — Surrogate Gradient Adaptive Learning and Spiking Spatiotemporal Adaptive Learning — to implement negative feedback mechanism and adaptive parameter adjustment, thereby improving cross-conditional generalization capabilities. Comprehensive evaluations conducted on five bearing datasets (CWRU: DE/FE, PU, and Lab-collected: 6025/N205EW) demonstrate superior performance across four metrics (ACC, AUC, AUPRC, Mean-ACC). Our method achieves state-of-the-art results, notably attaining ACC values of 0.959 (CWRU-DE) and 0.861 (Lab-N205EW) in IIPooling-ST configurations, confirming its effectiveness for real-time, high-accuracy fault detection in complex operational environments. © 2025

关键词： Failure rate

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Adaptive Sliding Mode control for Re-entry Attitude of Near Space Hypersonic Vehicle Based on Backstepping Design

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IEEE/CAA Journal of Automatica Sinica 2015年第1期2卷 94-101页

作者： Jingmei Zhang Changyin Sun Ruimin Zhang Chengshan Qian the Flight Control Research Center Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education School of Automation Southeast University the College of Information and Control Nanjing University of Information Science & Technology

Combining sliding mode control method with radial basis function neural network (RBFNN), this paper proposes a robust adaptive control scheme based on backstepping design for re-entry attitude tracking control of near space hypersonic vehicle (NSHV) in the presence of parameter variations and external disturbances. In the attitude angle loop, a robust adaptive virtual control law is designed by using the adaptive method to estimate the unknown upper bound of the compound uncertainties. In the angular velocity loop, an adaptive sliding mode control law is designed to suppress the effect of parameter variations and external disturbances. The main benefit of the sliding mode control is robustness to parameter variations and external disturbances. To further improve the control performance, RBFNNs are introduced to approximate the compound uncertainties in the attitude angle loop and angular velocity loop, respectively. Based on Lyapunov stability theory, the tracking errors are shown to be asymptotically stable. Simulation results show that the proposed control system attains a satisfied control performance and is robust against parameter variations and external disturbances. © 2014 Chinese Association of Automation.

关键词： Airships Angular velocity Attitude control Backstepping control theory Design Functions Hypersonic aerodynamics Hypersonic vehicles Navigation Radial basis function networks Sliding mode control Uncertainty analysis Vehicles

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Convergence Analysis of Consensus based Distributed Filtering Algorithm in Sensor Networks 34

Convergence Analysis of Consensus based Distributed Filterin...

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第三十四届中国控制会议

作者： ZHANG Ya TIAN Yu-Ping CAI Jun School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education 73658 Army

ISBN: (纸本)9781467374439

This paper studies the distributed filtering problem of sensor networks, where a set of heterogeneous sensing nodes is required to estimate the state of a linear discrete-time dynamic system in a collaborative manner. Due to limited sensing range and communication constraints, just part of sensors can get observations of the process and a consensus based sub-optimal filtering algorithm is designed. The convergence properties of the estimation error covariance is further studied, and a necessary and sufficient convergence condition is provided based on LMIs. This condition shows that the convergence of the algorithm requires the target node in the extended topology of network is globally reachable and each sensing node is observable to the process. Simulation examples are given to illustrate the results.

关键词： Distributed filter,Sensor networks,Consensus,Convergence analysis,LMIs

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Continuous finite-time TSM control for electronic throttle system

Continuous finite-time TSM control for electronic throttle s...

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2019 Jiangsu Annual Conference on Automation, JACA 2019

作者： Agbaje, Oluwatoyin Timothy Li, Shihua Sun, Hao Zhang, Lu Key Laboratory of Measurement and Control of Complex Systems of Engineering School of Automation Southeast University Nanjing210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education China

This article examines the position tracking difficulties of the electronic throttle (ET) system and presents a continuous finite-time terminal sliding mode (TSM) control method. The development of this control method involves two procedures: (i) designing a global finite-time observer to estimate the derivative and higher order derivatives of the ET system output, and the total disturbances;and (ii) construction of a continuous finite-time TSM controller based on observer estimations, to ensure the realisation of fast finite-time convergence of system output with a comparatively smooth control action. Comprehensive stability proof, simulation study, and experimental implementation are provided to affirm the applicability of the proposed method. © 2019 Institution of engineering and Technology. All rights reserved.

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GCN-Transformer Autoencoder with Knowledge Distillation for Unsupervised Video Anomaly Detection

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Journal of Advanced Computational Intelligence and Intelligent Informatics 2025年第3期29卷 659-667页

作者： Yan, Mingchao Xiong, Yonghua She, Jinhua School of Automation China University of Geosciences No.388 Lumo Road Hongshan District Hubei Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems No.388 Lumo Road Hongshan District Hubei Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education No.388 Lumo Road Hongshan District Hubei Wuhan430074 China School of Engineering Tokyo University of Technology 1404-1 Katakura Hachioji Tokyo192-0982 Japan

Video anomaly detection is crucial in intelligent surveillance, yet the scarcity and diversity of abnormal events pose significant challenges for supervised methods. This paper presents an unsupervised framework that integrates graph attention networks (GATs) and Transformer architectures, combining masked autoencoders (MAEs) with self-distillation training. GATs are utilized to model spatial and inter-frame relationships, while Transformers capture long-range temporal dependencies, overcoming the limitations of traditional MAE and self-distillation approaches. The model employs a two-stage training process: first, a lightweight MAE combined with a GAT-Transformer fusion constructs a knowledge distillation module;second, the student autoencoder is optimized by integrating a graph convolutional autoencoder and a classification head to identify synthetic anomalies. We evaluate the proposed method on three representative datasets—ShanghaiTech Campus, UBnormal, and UCSD Ped2—and achieve promising results. © Fuji Technology Press Ltd.

关键词： Network coding

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Towards an Esox lucius inspired multimodal robotic fish

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Science China(Information Sciences) 2015年第5期58卷 182-194页

作者： WU ZhengXing YU JunZhi SU ZongShuai TAN Min LI ZhenLong State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences College of Electronic Information and Control Engineering Beijing University of Technology

In this paper, we further explore multimodal locomotion via an updated robotic fish model based on Esox lucius. Besides the improved actuation properties like higher torque servomotors and powerful electronics,the robotic fish has some innovative mechanical design to pursue diverse swimming modes and superior performance. Specifically, we introduced a ±50° yawing head joint that functions as the neck for enhancing turning ability. A pair of pectoral mechanisms with two DOFs per fin is constructed to achieve 3-D swimming and to enrich multiple pectoral motions. At the control level, an improved central pattern generator(CPG) model allowing for free adjustment of the phase relationship among outputs is employed to produce rhythmic signals of multimodal swimming. Extensive experiments were carried out to examine how characteristic parameters in CPGs including amplitude, frequency, and phase lag affect the swimming performance. As a result, the robotic fish successfully performed various locomotion actions such as forward swimming, backward swimming, turning, diving, surfacing, as well as three pectoral motions in the form of pitching, heaving, and *** found that small phase lag between oscillating joints which means large propulsive body wave length and undulation width could lead to a faster swimming in body and/or caudal fin(BCF) locomotion.

关键词： bio-inspired robot robotic fish CPG multimodal swimming motion control

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Coordinated Adaptive Flowfield Estimation for Second-Order Agents Formation Tracking Given Orbits 35

Coordinated Adaptive Flowfield Estimation for Second-Order A...

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第35届中国控制会议

作者： CHEN Yang-Yang TIAN Yu-Ping WANG Zan-Zan School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University

ISBN: (纸本)9781509009107

This paper deals with cooperative estimation and control for second-order agents formation tracking a set of given orbit in an external flowfield,where only direction of flow inertial velocity is spatiotemporal and known.A novel coordinated adaptive estimator based on local neighbor-to-neighbor information is proposed to estimate the flow *** is shown that our previous geometric extension design,consensus and adaptive backstepping method can be combined together to construct the robust formation tracking controller under bidirectional *** theoretical result is proved by the numerical simulation.

关键词： Coordinated Adaptive Estimation Second-Order Agents Formation Tracking control

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