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Stress analysis and structural optimisation of insulating rods under dynamic and static loads

High Voltage 2025年第1期10卷 116-125页

作者： Haifeng Jin Lijun Jin Department of Control Science and Engineering Tongji UniversityShanghaiChina

This study aims to provide a theoretical basis for the fatigue characteristics and structural optimisation of insulating rods to enhance their reliability and lifespan in practical *** paper uses COMSOL to complete the stress analysis of insulating rods under dynamic and static loads based on the finite element *** correctness of the model is verified based on the elastic-plastic *** simulation results show that under the same load,the stress concentration area is more affected by the dynamic load,and the stress concentration position is highly consistent with the fracture position of the rod in the *** verifies the impact on the insulating rods at different speeds and static load *** shows that,in cases where the allowable stress is exceeded,as the number of operations increases,the fatigue characteristics will greatly affect the service life of the insulation ***,the fatigue analysis and structural optimisation of the insulating rod were completed,providing important reference values for the long-term stable operation of ultra-high voltage circuit breakers.

关键词： fatigue structural dynamic

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Privacy-preserving filtering, control and optimization for industrial cyber-physical systems

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science China(Information sciences) 2025年第4期68卷 267-283页

作者： Derui DING Qing-Long HAN Xiaohua GE Xian-Ming ZHANG Jun WANG Department of Control Science and Engineering University of Shanghai for Science and Technology School of Engineering Swinburne University of Technology Department of Computer Science City University of Hong Kong

Industrial cyber-physical systems closely integrate physical processes with cyberspace, enabling real-time exchange of various information about system dynamics, sensor outputs, and control decisions. The connection between cyberspace and physical processes results in the exposure of industrial production information to unprecedented security risks. It is imperative to develop suitable strategies to ensure cyber security while meeting basic performance *** the perspective of control engineering, this review presents the most up-to-date results for privacy-preserving filtering,control, and optimization in industrial cyber-physical systems. Fashionable privacy-preserving strategies and mainstream evaluation metrics are first presented in a systematic manner for performance evaluation and engineering *** discussion discloses the impact of typical filtering algorithms on filtering performance, specifically for privacy-preserving Kalman filtering. Then, the latest development of industrial control is systematically investigated from consensus control of multi-agent systems, platoon control of autonomous vehicles as well as hierarchical control of power systems. The focus thereafter is on the latest privacy-preserving optimization algorithms in the framework of consensus and their applications in distributed economic dispatch issues and energy management of networked power systems. In the end, several topics for potential future research are highlighted.

关键词： industrial cyber-physical systems privacy preservation distributed control distributed optimization power systems

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Application of feedforward and recurrent neural networks for model-based control systems

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control Theory and Technology 2025年第1期23卷 91-104页

作者： Marek Krok Wojciech P.Hunek Szymon Mielczarek Filip Buchwald Adam Kolender Department of Control Science and Engineering Opole University of TechnologyOpolePoland

In this paper,a new study concerning the usage of artificial neural networks in the control application is *** is shown,that the data gathered during proper operation of a given control plant can be used in the learning process to fully embrace the control ***,the instances driven by neural networks have the ability to outperform the original analytically driven *** different control schemes,namely perfect,linear-quadratic,and generalized predictive controllers were used in the theoretical *** addition,the nonlinear recurrent neural network-based generalized predictive controller with the radial basis function-originated predictor was obtained to exemplify the main results of the paper regarding the real-world application.

关键词： Predictive control Linear-quadratic control Inverse problems Feedforward network Recurrent neural network Optimization

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From Static and Dynamic Perspectives:A Survey on Historical Data Benchmarks of control Performance Monitoring

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IEEE/CAA Journal of Automatica Sinica 2025年第2期12卷 300-316页

作者： Pengyu Song Jie Wang Chunhui Zhao Biao Huang the State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University IEEE the Department of Chemical and Materials Engineering University of Alberta

In recent decades, control performance monitoring(CPM) has experienced remarkable progress in research and industrial applications. While CPM research has been investigated using various benchmarks, the historical data benchmark(HIS) has garnered the most attention due to its practicality and effectiveness. However, existing CPM reviews usually focus on the theoretical benchmark, and there is a lack of an in-depth review that thoroughly explores HIS-based methods. In this article, a comprehensive overview of HIS-based CPM is provided. First, we provide a novel static-dynamic perspective on data-level manifestations of control performance underlying typical controller capacities including regulation and servo: static and dynamic properties. The static property portrays time-independent variability in system output, and the dynamic property describes temporal behavior driven by closed-loop feedback. Accordingly,existing HIS-based CPM approaches and their intrinsic motivations are classified and analyzed from these two ***, two mainstream solutions for CPM methods are summarized, including static analysis and dynamic analysis,which match data-driven techniques with actual controlling behavior. Furthermore, this paper also points out various opportunities and challenges faced in CPM for modern industry and provides promising directions in the context of artificial intelligence for inspiring future research.

关键词： control performance monitoring (CPM) data-driven method historical data benchmark (HIS) industrial process performance index static and dynamic analysis

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Distributed coordination control of multi-agent systems under intermittent sampling and communication: a comprehensive survey

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science China(Information sciences) 2025年第5期68卷 289-331页

作者： Xiaohua GE Qing-Long HAN Xian-Ming ZHANG Derui DING Boda NING School of Engineering Swinburne University of Technology Department of Control Science and Engineering University of Shanghai for Science and Technology Department of Electrical and Electronic Engineering Auckland University of Technology

Sampling and communication are both crucial for coordination in multi-agent systems(MASs), with sampling capturing raw data from the environment for control decision making, and communication ensuring the data is shared effectively for synchronized and informed control decisions across agents. However, practical MASs often operate in environments where continuous and synchronous data samplings and exchanges are impractical, necessitating strategies that can handle intermittent sampling and communication constraints. This paper provides a comprehensive survey of recent advances in distributed coordination control of MASs under intermittent sampling and communication, focusing on both foundational principles and state-of-the-art techniques. After introducing fundamentals, such as communication topologies,agent dynamics, control laws, and typical coordination objectives, the distinctions between sampling and communication are elaborated, exploring deterministic versus random, synchronous versus asynchronous, and instantaneous versus sequential scenarios. A detailed review of emerging trends and techniques is then presented, covering time-triggered, event-triggered,communication-protocol-based, and denial-of-service-resilient coordination control. These techniques are analyzed across various attack models, including those based on data loss, sampled data, time constraints, and topology switching. By synthesizing these developments, this survey aims to equip researchers and practitioners with a clearer understanding of current challenges and methodologies, concluding with insights into promising future directions.

关键词： multi-agent systems distributed coordination control sampled-data control event-triggered control resilient control denial-of-service attacks communication protocols event-triggered mechanisms

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Distributed Stackelberg Equilibrium Seeking for Networked Multi-Leader Multi-Follower Games with A Clustered Information Structure

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IEEE Transactions on control of Network Systems 2024年 1-12页

作者： Chen, Yue Yi, Peng Department of Control Science and Engineering Tongji University Shanghai China

The Stackelberg game depicts a leader-follower relationship wherein decisions are made sequentially, and the Stackelberg equilibrium represents an expected optimal solution when the leader can anticipate the rational response of the follower. Motivated by control of network systems with two levels of decision-making hierarchy, such as the management of energy networks and power coordination at cellular networks, a networked multi-leader multi-follower Stackelberg game is proposed. Due to the constraint of limited information interaction among players, a clustered information structure is assumed that each leader can only communicate with a portion of overall followers, namely its direct subordinated followers, and also only with its local neighboring leaders. In this case, the leaders cannot fully anticipate the collective rational response of all followers with local information. To address Stackelberg equilibrium seeking under this partial information structure, we propose a distributed seeking algorithm based on implicit gradient estimation and network consensus mechanisms. We rigorously prove the convergence of the algorithm for both diminishing and constant step sizes under strict and strong monotonicity conditions, respectively. Furthermore, the model and the algorithm can also incorporate linear equality and inequality constraints into the followers' optimization problems, with the approach of the interior point barrier function. Finally, we present numerical simulations in applications to corroborate our claims on the proposed framework. IEEE

关键词： Cost functions

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Inference and Planning at Occluded Intersections for Urban Autonomous Driving

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on Intelligent Vehicles 2024年 1-12页

作者： Zhao, Xuhe Zhang, Chaojie Wang, Jun Zhu, Yanting Department of Control Science and Engineering Tongji University Shanghai China

Occlusions significantly impact the safety of autonomous vehicles. Intersections with multiple occlusions and multiple observed vehicles are common in urban scenarios. This paper proposes a solution for occlusion inference and planning in the above scenarios. This framework introduces a novel model of potential traffic, enabling a unified representation of uncertainty. The occlusion inference is based on the inverse planning. It uses behaviors of social vehicles to infer the potential traffic. When there are more than one social vehicles, evidence theory is used to fuse the inferences from multiple sources. Simulations are conducted in different intersection scenarios, demonstrating the improvement of traveling efficiency. IEEE

关键词： Autonomous vehicles

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Convex Hull Based Economic Operating Region for Power Grids Considering Uncertainties of Renewable Energy Sources

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Journal of Modern Power Systems and Clean Energy 2024年第5期12卷 1419-1430页

作者： Huating Xu Bin Feng Gang Huang Mingyang Sun Houbo Xiong Chuangxin Guo the College of Electrical Engineering in Zhejiang University HangzhouChina the Department of Control Science and Engineering in Zhejiang University HangzhouChina

The increasing integration of renewable energy sources(RESs)presents significant challenges for the safe and economical operation of power *** the critical need to assess the effect of RES uncertainties on optimal scheduling schemes(OSSs),this paper introduces a convex hull based economic operating region(CH-EOR)for power *** CHEOR is mathematically defined to delineate the impact of RES uncertainties on power grid *** propose a novel approach for generating the CH-EOR,enhanced by a big-M preprocessing method to improve the computational *** on four test systems,the proposed big-M preprocessing method demonstrates notable advancements:a reduction in average operating costs by over 10%compared with the box-constrained operating region(BC-OR)derived from robust ***,the CH-EOR occupies less than 11.79%of the generators'adjustable region(GAR).Most significantly,after applying the proposed big-M preprocessing method,the computational efficiency is improved over 17 times compared with the traditional big-M method.

关键词： Convex hull big-M preprocessing method economic operating region(EOR) renewable energy source(RES) uncertainty

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Adaptive torque estimation-based nonlinear H∞ control of modular robot manipulators with uncertain environments

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Neural Computing and Applications 2025年第3期37卷 1617-1631页

作者： Dong, Bo Wang, Yuge An, Tianjiao Cui, Yiming Zhu, Xinye Department of Control Science and Engineering Changchun University of Technology Changchun130012 China

Modular robot manipulators (MRMs) based on harmonic drive (HD) transmissions perform various target tasks in unknown environments, and the main challenge is to overcome the uncertain noise and controller errors of systems generated by device vibrations while facing with unknown external disturbance. To address these challenges, a variational Bayesian (VB)-based extended Kalman filter (VBEKF) is developed as part of the MRM dynamic model to mitigate bias in torque estimation resulting from external interference within HD model joints. Furthermore, leveraging a two-player zero-sum game strategy, a robust adaptive dynamic programming (ADP) method based on single critic neural network (NN) is formulated to solve the Hamilton–Jacobi–Isaacs (HJI) equation in H∞ control problem, ultimately yielding an approximate optimal solution for H∞ control. The Lyapunov theory guarantees that the trajectory tracking error of a closed-loop MRM system remains ultimately uniformly bounded (UUB), even in the presence of unknown environmental disturbances. Ultimately, the experiment results are given to illustrate the advantages and effectiveness of the proposed method. The experimental results show that the proposed method reduces the control torque error by ∼20% compared with the existing control methods. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024.

关键词： Extended Kalman filters

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mVLINS: A Multilevel Visual-LiDAR-Inertial Navigation System with Completely Decoupled Odometry and Adaptive Environmental Mapping

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on Intelligent Vehicles 2024年 1-13页

作者： Zhang, Bing Yao, Weiran Wang, Yankun Li, Peng Shao, Xiangyu Sun, Guanghui department of control science and engineering Harbin Institute of Technology Harbin China

The core component of the navigation system is the process of multi-sensor fusion localization in a challenging environment with limited GNSS constraints. This process is designed to robustly and precisely estimate the system state and map the traversed area. In this paper, we propose a low-drift, highly resilient multilevel navigation system with completely decoupled odometry and adaptive environmental mapping. A novel method for visual-LiDAR-inertial frame-to-frame odometry is presented to leverage the complementary strengths of these sensors. This odometry approach involves decoupling the 6-degree-of-freedom (6-DoF) state to allocate each state component to an appropriate submodule for estimation. An adaptive environmental mapping module that aims to align the target frame with the local map is proposed to refine the rough odometry pose. This module is achieved through the utilization of an adaptive keyframe strategy and the feature consistency constraint. Enhance the matching of keyframes to the map by reducing the point-to-feature error between frame points and map features. Additionally, the state is further refined by minimizing the feature consistency error on lines in the adjacent corner map and the local map at each keyframe. Our proposed algorithm is validated using both public and self-collected datasets, demonstrating superior results compared to state-of-the-art algorithms. IEEE

关键词： Optical radar

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