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SSRN 2023年

作者： Wang, Yushun Yin, Hao Li, Mingxing Chen, Yuanchang Sun, Haoyu Liu, Jiang Key Lab of Industrial Fluid Energy Conservation and Pollution Control Qingdao University of Technology Qingdao266520 China Structural Dynamics and Acoustic Systems Laboratory University of Massachusetts Lowell One University Avenue LowellMA01854 United States Nanjing University of Aeronautics and Astronautics Nanjing211100 China State Key Laboratory of Automotive Simulation and Control Jilin University Changchun130022 China

Aiming at the micro power supply for vehicle suspension control, we propose a new harvester to recycle the vortex vibration energy behind the shock absorber. Different from the traditional regenerative suspensions utilizing the vertical motion, we recycle the vortex vibration energy laterally. A suspension dynamics model was built and simulated the spring compression process to discuss the break wind condition. A stable Karman vortex street would be developed after the spring is compressed to a certain height, proving that the car spring’s wind break effect could be neglect in many driving conditions. Then the spring and shock absorber was simplified to a cylinder with two cross sections. The fluid analysis was performed and the vortex form showed three features. A bidirectional fluid-structure coupling model was built for the new harvester and the simulation verified that the electric voltage positively correlated with the vehicle’s velocity. At last, a full size sample prototype test was performed for validation. The designed harvester may provide enough electricity for a suspension control unit or sensors, as a potential solution for the near field energy supply. When the car is driving with a common speed in cities, the recycled electric voltage could reach to 0.8V. © 2023, The Authors. All rights reserved.

关键词： Vortex flow

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Parallel control for Continuous-Time Linear systems:A Case Study

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IEEE/CAA Journal of Automatica Sinica 2020年第4期7卷 919-928页

作者： Qinglai Wei Hongyang Li Fei-Yue Wang the State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190 the University of Chinese Academy of Sciences Beijing 100049 Qingdao Academy of Intelligent Industries Qingdao 266109China the Institute of Systems Engineering Macao University of Science and Technology

In this paper,a new parallel controller is developed for continuous-time linear *** main contribution of the method is to establish a new parallel control law,where both state and control are considered as the *** structure of the parallel control is provided,and the relationship between the parallel control and traditional feedback controls is *** the situations that the systems are controllable and incompletely controllable,the properties of the parallel control law are *** parallel controller design algorithms are given under the conditions that the systems are controllable and incompletely ***,numerical simulations are carried out to demonstrate the effectiveness and applicability of the present *** Terms-Continuous-time linear systems,digital twin,parallel controller,parallel intelligence,parallel systems.

关键词： Index Terms—Continuous-time linear systems digital twin parallel controller parallel intelligence parallel systems

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Physics-informed Neural Network Combined with Characteristic-Based Split for Solving Navier-Stokes Equations

arXiv

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arXiv 2023年

作者： Hu, Shuang Liu, Meiqin Zhang, Senlin Dong, Shanling Zheng, Ronghao College of Electrical Engineering Zhejiang University Hangzhou310027 China State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou310027 China Institute of Artificial Intelligence and Robotics Xi'an Jiaotong University Xi'An710049 China

In this paper, we propose a physics-informed neural network (PINN) combined with characteristic-based split (CBS) method for solving time-dependent Navier-Stokes equations (N-S equations). The proposed method separates the output parameters and corresponding losses, thereby disregarding weights between output parameters. Additionally, not all partial derivatives participate in gradient backpropagation, allowing for the reuse of remaining terms. As a result, this method is a faster version than traditional PINN. The labeled data, physical constraints, and network outputs are considered as priori information, and the residuals of the N-S equations are treated as posteriori information. This approach enables the handling of both data-driven and data-free problems. Notably, the method can solve the compressible N-S equations, specifically the Shallow-Water equations, and incompressible N-S equations. Given the known boundary conditions, the method requires only flow field information at a specific time to restore past and future flow field information. We demonstrate the potential of this method in marine engineering by solving the progress of a solitary wave onto a shelving beach and the dispersion of hot water in the flow. Furthermore, we prove the correctness and universality of the method by solving incompressible N-S equations with exact solutions. The source codes for the numerical examples in this work are available at https://***/double110/PINN-cbs-.git. © 2023, CC BY-NC-ND.

关键词： Navier Stokes equations

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A Simplified Variant for Graph Convolutional Network Based Knowledge Graph Completion Model 8

A Simplified Variant for Graph Convolutional Network Based K...

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8th International Conference on Data Science in cyberspace, DSC 2023

作者： Wang, Yashen Li, Qiang Zhang, Yi Zhang, Xuecheng Ju, Zhuoya Sun, Jian Beijing China Scientific and Technological Innovation Center of Ari Institute of Automation Chinese Academy of Sciences The State Key Laboratory for Management and Control of Complex Systems Beijing China Cetc Academy of Electronics and Information Technology Group Co. Ltd. Beijing China Khoury College of Computer Science Northeastern University United States Scientific and Technological Innovation Center of Ari Beijing China Qi An Xin Technology Group Inc. Beijing China

ISBN: (纸本)9798350331035

Knowledge graphs (KGs) serve as useful resources for various applications including machine learning, data mining, and artificial intelligence. Knowledge Graph Completion (KGC) aims at reasoning over known (observed) facts and infer the missing (unobserved) relationships, to improve KG's coverage. Many recent works have laid stress on leveraging Graph Convolutional Networks (GCNs) for KGC task, which obtain good representation learning ability for graph-structured data, and have achieved satisfactory results. However, GCN-based researches continue to improve these lines of models by introducing an increasingly complex feature space. Especially, the hyper-parameter space of conventional GCN-based KGC model is too huge, resulting in low computational efficiency and excessive storage pressure. To overcome this problem, this paper investigates a simplified and generic variant for GCN-based KGC model, and shows that simple changes in the architecture of the underlying architecture (with a Subtraction Operator and an Addition Operator), can compte with state-of-the-art GCN-based models. Therefore, this paper proposes a easy-to-accomplish plug-in unit, which could be loaded into any current GCN-based KGC architectures, and help them maximize the maintenance of native model's original performance while significantly reducing parameter scale. © 2023 IEEE.

关键词： Graph Convolutional Network Knowledge Graph Knowledge Graph Completion Representation Learning

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Optimal Linear Deception Attacks on Remote state Estimation with Constrained Alarm Rates: A Low-Dimensional Case

Optimal Linear Deception Attacks on Remote State Estimation ...

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IEEE Conference on Decision and control

作者： Jun Shang Hanwen Zhang Jing Zhou Tongwen Chen Department of Control Science and Engineering Shanghai Research Institute for Intelligent Autonomous Systems National Key Laboratory of Autonomous Intelligent Unmanned Systems and Frontiers Science Center for Intelligent Autonomous Systems Tongji University Shanghai China Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing China Department of Electrical and Computer Engineering University of Alberta Edmonton AB Canada

ISBN: (数字)9798350316339

ISBN: (纸本)9798350316346

This study addresses linear attacks on remote state estimation within the context of a constrained alarm rate. Smart sensors, which are equipped with local Kalman filters, transmit innovations instead of raw measurements through a wireless communication network. This transmission is vulnerable to malicious data interception and manipulation by attackers. The aim of this research is to identify the optimal attack strategy that degrades the system performance while adhering to stealthiness constraints. A notable innovation of this paper is the direct association of the attack’s stealthiness with the alarm rate, diverging from traditional approaches that rely on the covariance of the innovation or the Kullback–Leibler divergence, which are conventional metrics that have been extensively explored in previous studies. Our findings reveal that the optimal attack strategy exhibits some structural characteristics in systems of low dimensions. The performance of the proposed attack strategy is demonstrated through numerical examples.

关键词： Wireless communication Measurement Technological innovation System performance Kalman filters state estimation Intelligent sensors

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Analysis of cyber Attacks on Wind Power Generation systems in Damping Inter-area Oscillations of Power systems 5

Analysis of Cyber Attacks on Wind Power Generation Systems i...

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5th IEEE Conference on Energy Internet and Energy System Integration, EI2 2021

作者： He, Guoqing Wu, Q.H. Liu, Yang Xiahou, Kaishun State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing China School of Electric Power Engineering South China University of Technology Guangzhou China

ISBN: (纸本)9781665434256

With the application of damping controllers developed using remote feedback signals provided by phasor measurement unit (PMU) and wida-area measurement system (WAMS), the wind power generation system (WPGS) can damp the inter-area oscillations of power system. Nevertheless, the damping control system of WPGS may suffer from malicious cyber attacks, which will deteriorate the performance of WPGS and even destabilize the power system operation. This paper considers the various types of cyber attacks, including false data injection attack (FDIA), time-delay attack (TDA), denial of service (DoS) attack, coordinated cyber-physical attack (CCPA), and analyzes the effects of these cyber attacks on WPGS in damping inter-area oscillations of power system. Simulation studies are carried out on a two-area four-machine power system integrated with WPGS to investigate the cyber security of WPGS. © 2021 IEEE

关键词： cyber attacks

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Parallel Learning Based Foundation Model for Networked Traffic Signal control

Parallel Learning Based Foundation Model for Networked Traff...

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International Conference on Intelligent Transportation

作者： Chen Zhao Xingyuan Dai Yuanyuan Chen Yilun Lin Yisheng Lv Fei-Yue Wang School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Shanghai AI Laboratory Shanghai China Macao Institute of Systems Engineering Macau University of Science and Technology Macao China

Networked Traffic Signal control (NTSC) is a fundamental component of Intelligent Transportation systems (ITS) and the broader vision of smart city development. While a plethora of intelligent strategies have been developed, the Sim2Real challenge often impedes their full realization. In response, this paper introduces the Parallel Learning-based Adaptive Network for Traffic Signal control (PLANT) as a foundation model for NTSC. We employ the Wasserstein GAN with Gradient Penalty (WGAN-GP) to generate a wide range of artificial scenarios for robust PLANT training. Further, the Transformer-based Cooperation Mechanism (TCM) is integrated as the primary learner within PLANT, facilitating effective capture of traffic dynamics and knowledge accumulation. This knowledge is readily transferable to real-world applications through meticulous fine-tuning, equipping PLANT to adapt and evolve in alignment with shifting transportation paradigms. Our empirical study on the Hangzhou road network demonstrates PLANT's superiority over both traditional and emerging DRL-based approaches, emphasizing its viability as a potential foundation model for NTSC.

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The Suppression Mechanism of Parasitic Capacitance for Comb Capacitor Fabricated with Silicon-On-Insulation

The Suppression Mechanism of Parasitic Capacitance for Comb ...

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IEEE International Conference on Nano/Micro Engineered and Molecular systems (NEMS)

作者： Renjie Tan Juan Yang Libo Zhao Xiangguang Han Wei Li Yong Xia Yi Gao Chengying Wang Zhuangde Jiang State Key Laboratory for Manufacturing Systems Engineering International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies School of Mechanical Engineering Xi’an Jiaotong University Xi’an China China Xi’an Satellite Control Center Xi’an China State Key Laboratory for Manufacturing Systems Engineering International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies School of Instrument Science and Technology Xi’an Jiaotong University Xi’an China Xi’an Aerospace Propulsion Institute Xi’an China

ISBN: (数字)9798350359831

ISBN: (纸本)9798350359848

This paper establishes theoretical circuit and electrostatic current multi-physical field simulation models for a typical comb capacitor fabricated with silicon-on-insulation. The influence of related electrical parameters and conditions on equivalent capacitance is revealed by analytical solution and simulation, and several methods are proposed to suppress the interference of parasitic capacitance on ideal capacitance, such as high-resistivity substrate Si, relatively high-frequency excitation, and grounded substrate Si. The models and methods proposed in this paper can provide theoretical guidance for the design and suppression of parasitic capacitance of MEMS (Micro-Electro-Mechanical System) capacitive sensors.

关键词： Micromechanical devices Analytical models Capacitors Silicon Software Nanoscale devices Integrated circuit modeling

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AGI in Metaverse for Smart Cities and Societies: A cyber Physical Social Approach

AGI in Metaverse for Smart Cities and Societies: A Cyber Phy...

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control Conference (ANZCC), Australian and New Zealand

作者： Xiao Wang Jun Huang Yong-Lin Tian Fei-Yue Wang Engineering Research Center of Autonomous Unmanned System Technology Ministry of Education Anhui University Hefei China Faculty of Innovation Engineering Macau University of Science and Technology Macao China State Key Laboratory for Management and Control of Complex Systems Chinese Academy of Sciences Beijing China Macao Institute of Systems Engineering Macau University of Science and Technology Macao China

The development of artificial general intelligence (AGI) and metaverse technologies hold great potential to enhance the effectiveness of smart cities and societies. we present a cyberphysical-social approach to integrating AGI into metaverse-based smart cities and societies, with a specific focus on parallel intelligence. The proposed approach considers the interplay between the physical environment, digital systems, social dynamics, and emerging forms of parallel intelligence, as well as swarm intelligence and collective intelligence. By leveraging these forms of parallel intelligence, the integration of AGI can create more responsive and proactive infrastructure, personalized and efficient services, and foster greater community engagement. The metaverse acts as a platform for simulating real-world scenarios and testing and refining AGI models before deployment in the physical world, while also facilitating the development and coordination of parallel intelligence. However, ethical considerations must be taken into account to ensure responsible deployment and avoid exacerbating existing societal inequalities or infringing upon individual privacy rights. This report provides a comprehensive framework for the integration of AGI and parallel intelligence into metaverse-based digital and smart organizations, while emphasizing the importance of human ethics, social responsibility, and ecological sustainability.

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Asynchronous control for Discrete-Time Markovian Jump systems with Multiplicative Noise

SSRN

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SSRN 2022年

作者： Wang, Shitong Wu, Zheng-Guang Shi, Peng Wu, Zhaojing The State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Zhejiang Hangzhou310027 China Institute of Intelligence Science and Engineering Shenzhen Polytechnic Guangdong Shenzhen518000 China The School of Electrical and Electronic Engineering The University of Adelaide AdelaideSA5005 Australia The School of Mathematics and Informational Science Yantai University Shandong Yantai264005 China

In this note, the guaranteed cost control problem for discrete-time Markovian jump systems with state and control multiplicative noise is solved. Since the model mismatch problem often exists in system modes and controller modes, an asynchronous controller is presented to make the system stochastically stable in this paper. By using of the linear matrix inequality techniques, an optimization solution can be obtained, such that the quadratic cost function can be minimized, meanwhile the expectation of the state and control can be guaranteed in a constraint set. © 2022, The Authors. All rights reserved.

关键词： Phase noise

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