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On non-von Neumann flexible neuromorphic vision sensors

npj Flexible Electronics 2024年第1期8卷 638-663页

作者： Hao Wang Bin Sun Shuzhi Sam Ge Jie Su Ming Liang Jin Institute for Future Shandong Key Laboratory of Industrial Control TechnologySchool of AutomationQingdao UniversityQingdao 266071China College of Electronic and Information Engineering Qingdao UniversityQingdao 266071China Department of Electrical and Computer Engineering and Institute for Functional Intelligent MaterialsNational University of SingaporeSingapore 117583Singapore

The structure andmechanismof thehuman visual system contain rich treasures,and surprising effects can be achieved by simulating the human visual *** this article,starting from the human visual system,we compare and discuss the discrepancies between the human visual system and traditional machine vision *** the wide variety and large volume of visual information,the use of nonvon Neumann structured,flexible neuromorphic vision sensors can effectively compensate for the limitations of traditional machine vision systems based on the von Neumann ***,this article addresses the emulation of retinal functionality and provides an overview of the principles and circuit implementation methods of non-von Neumann computing ***,in terms of mimicking the retinal surface structure,this article introduces the fabrication approach for flexible sensor ***,this article analyzes the challenges currently faced by non-von Neumann flexible neuromorphic vision sensors and offers a perspective on their future development.

关键词： Neumann system starting

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Triple Parallel LSTM Networks for Classifying the Gait Disorders Using Kinect Camera and Robot Platform During the Clinical Examination

Triple Parallel LSTM Networks for Classifying the Gait Disor...

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2023 International Conference on electrical, Computer, Communications and Mechatronics engineering, ICECCME 2023

作者： Shayestegan, Mohsen Zalabsky, Tomas Mareš, Jan University of Pardubice Pardubice Faculty of Electrical Engineering and Informatics Czech Republic Research Center University of Pardubice Pardubice Faculty of Electrical Engineering and Informatics Czech Republic University of Pardubice Pardubice Faculty of Electrical Engineering and Informatics Department of Process Control Czech Republic

ISBN: (纸本)9798350322972

This paper presents a new methodology for the data processing and classification method for gait disorders, which is observed with a Kinect camera. The study of gait and motion stability in gait disorders is one of the most interesting research areas in the field. The patient and the physician must monitor the progress of the rehabilitation process before and after surgery to obtain an objective view of the rehabilitation process. In this study, the patient is scanned with the Kinect camera placed on a mobile robotic platform. For feature extraction and feature analysis, the exercises (three walking exercises) frames are collected and saved in data folders. This study uses 84 measurements of 37 patients with complex observations based on the physician's opinion in a clinical setting to address classification problems. In the analysis of gait disorders, motion data play an essential role. Furthermore, it reduces the selection of helpful body features for assessing gait disorders. The proposed system uses a key-point detector that computes body landmarks and classifies gait disorders using triple-parallel long short-term memory (LSTM) networks. The present study demonstrates the success of the method in classification evaluation when combined with the state-of-the-art pose estimation method. Around 81 percent accuracy was achieved for given sets of individuals using velocity-based, angle-based, and position-based features. © 2023 IEEE.

关键词： Long short-term memory

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Temporal Graph Convolutional Network Soft Sensor for Chemical process with Distributed Outputs 5

Temporal Graph Convolutional Network Soft Sensor for Chemica...

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5th International Conference on Industrial Artificial Intelligence, IAI 2023

作者： Guo, Weiwei Jia, Mingwei Zhou, Weihua Liu, Yi Zhejiang University of Technology Institute of Process Equipment and Control Engineering Hangzhou310023 China Taizhou Vocational and Technical College Department of Mechanical and Electrical Engineering Taizhou318000 China

ISBN: (纸本)9798350325294

To explore data-driven soft sensors and enhance the model explainability, a temporal graph convolutional network is proposed for chemical processes with distributed outputs. It can model process variable relationships in the form of a topology graph. Firstly, the subgraph from prior knowledge is constructed and supplemented using mutual information. In this way, the advantages of both prior knowledge and process data are explored to construct the topology graph. Then, the spatial and temporal dependencies are captured by a graph convolutional layer and a gated recurrent unit, respectively. Finally, a soft sensor based on the spatiotemporal graph convolutional network is established for quality prediction of the chemical process with distributed outputs. The effectiveness of the proposed model is verified by molecular weight distribution prediction of a styrene radical polymerization process. © 2023 IEEE.

关键词： Topology

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Data-Based Soft Fault Diagnosis of a Three-Phase DC/AC Converter 7

Data-Based Soft Fault Diagnosis of a Three-Phase DC/AC Conve...

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7th IEEE International electrical and Energy Conference, CIEEC 2024

作者： Chen, Cen Du, He Cai, Xi Wang, Haoran Zhai, Guofu Harbin Institute of Technology Department of Electrical Engineering and Automation Harbin China Engineering Corporation China Three Gorges Construction Chengdu China Three Gorges Intelligent Industrial Control Technology Company Wuhan China

ISBN: (纸本)9798350359558

With the widespread use of power electronic equipment, accurately identifying soft faults in power electronic converters is crucial for the stable and reliable operation of power electronic equipment. This paper proposed a soft fault diagnosis method for three-phase DC/AC converter using a data-based approach. Firstly, simulation analysis is conducted on the soft faults of three-phase DCI AC converter, and appropriate test signals are selected as data sources. Then, the LSTM neural network and its variants are used to obtain fault diagnosis models. Finally, the method is validated through experiments, and the results show that it has good performance in soft fault diagnosis of the three-phase DCI AC converter. © 2024 IEEE.

关键词： Failure analysis

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Event-Triggered Extended Dissipative FTB for T-S Fuzzy Switched Systems With Mismatched Phenomena and Deception Attacks: A Multidomain Framework

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IEEE Transactions on Cybernetics 2024年第9期54卷 4928-4938页

作者： Chen, Haiyang Zong, Guangdeng Su, Shun-Feng Gao, Fangzheng Tiangong University School of Control Science and Engineering Tianjin300387 China Nanjing Institute of Technology School of Automation Jiangsu Collaborative Innovation Center for Smart Distribution Network Nanjing211167 China National Taiwan University of Science and Technology Department of Electrical Engineering Taipei106 Taiwan Nanjing Institute of Technology School of Automation Nanjing211167 China

This article investigates the extended dissipative finite-time boundedness (ED-FTB) problem for fuzzy switched systems under deception attacks. To improve the network resource efficiency, a multidomain probabilistic event-triggered mechanism (MDPETM) is proposed. The mode mismatched phenomenon is modeled based on the switching delay information between the controller mode and the system mode. To extract the true signal generated by the MDPETM, a virtual delay concept is developed. The constraint that the controller and the system must have the same premise variables is removed. Based on the MDPETM, mismatched fuzzy state feedback controllers are first devised which may not share the same modes with the system. Then, by establishing fuzzy basis and controller mode-dependent Lyapunov functionals, sufficient criteria free of nonlinear terms existing in the literature are derived, which ensure the ED-FTB of the closed-loop system under admissible delays and deception attacks. Finally, an application-oriented one-link robotic arm system is utilized to validate the theoretical results. © 2013 IEEE.

关键词： controllers

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Extended NNs-Based Adaptive Event-Triggered Asymptotic control for Nonlinear Systems Against Actuator Faults 7

Extended NNs-Based Adaptive Event-Triggered Asymptotic Contr...

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7th International Symposium on Autonomous Systems, ISAS 2024

作者： Liu, Shanlin Zhang, Yingwei Zhao, Xudong Wang, Hesheng Northeastern University College of Information Science and Engineering Shenyang China Northeastern University State Laboratory of Synthesis Automation of Process Industry Shenyang China Dalian University of Technology Faculty of Electronic Information and Electrical Engineering Dalian China Department of Automation Key Laboratory of System Control and Information Processing of Ministry of Education Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Engineering Research Center of Intelligent Control and Management Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9798350363173

In this article, an adaptive event-triggered asymp¬totically fault-tolerant control (FTC) issue for nonlinear systems with actuator faults is investigated. An extended neural networks (NNs) technique is introduced to estimate unknown functions of the system under consideration. Compared with traditional NNs that ignore approximation errors, the proposed extended NNs further processes approximation errors, reducing the conservatism of the proposed algorithm. Then, within the framework of backstepping method, a new adaptive control strategy is developed by combining event-triggered mechanism (ETM) and bound estimation (BE) approach, which ensures the asymptotic convergence of system states while also reducing the transmission of unnecessary information, thus improving the utilization of communication resources. At the same time, the designed controller eliminates the adverse effects of actuator failures and system nonlinear terms. Finally, a simulation example of a single-link robot system is provided to demonstrate that the developed control strategy can ensure that all signals are bounded and system states are asymptotically convergent. © 2024 IEEE.

关键词： Approximation algorithms

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Heterogeneous multi-player imitation learning

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control Theory and Technology 2023年第3期21卷 281-291页

作者： Bosen Lian Wenqian Xue Frank L.Lewis Department of Electrical and Computer Engineering Auburn UniversityAuburnAL 36849USA State Key Laboratory of Synthetical Automation for Process Industries and International Joint Research Laboratory of Integrated Automation Northeastern UniversityShenyang 110819LiaoningChina UTA Research Institute University of Texas at Arlington(UTA)Fort WorthTX 76118USA

This paper studies imitation learning in nonlinear multi-player game systems with heterogeneous control input *** propose a model-free data-driven inverse reinforcement learning(RL)algorithm for a leaner to find the cost functions of a N-player Nash expert system given the expert's states and control *** allows us to address the imitation learning problem without prior knowledge of the expert's system *** achieve this,we provide a basic model-based algorithm that is built upon RL and inverse optimal *** serves as the foundation for our final model-free inverse RL algorithm which is implemented via neural network-based value function *** analysis and simulation examples verify the methods.

关键词： Imitation learning Inverse reinforcement learning Heterogeneous multi-player games Data-driven model-free control

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Fixed-time supper twisting disturbance observer and sliding mode control for a secure communication of fractional-order chaotic systems

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JVC/Journal of Vibration and control 2024年第11-12期30卷 2568-2581页

作者： Nguyen, Quang Dich Vu, Dinh Dat Huang, Shyh-Chour Giap, Van Nam Institute for Control Engineering and Automation Hanoi University of Science and Technology Hai Ba Trung Hanoi100000 Viet Nam School of Electrical and Electronic Engineering Hanoi University of Science and Technology Hai Ba Trung Hanoi100000 Viet Nam Department of Mechanical Engineering National Kaohsiung University of Science and Technology Kaohsiung Taiwan

This paper proposed a new disturbance observer (DO) based on the fixed-time supper-twisting algorithm (FTSTA) for rejecting perturbations of secure communication of the fractional-order chaotic systems (FOCSs). First, the FOCSs are remodeled into the Takagi–Sugeno fuzzy (TSF) system with the expectation of softening the calculations of the design of the controller and observer. Second, the synchronization control was designed based on the FTSTA sliding mode control (SMC). Third, a new DO for the secure communication system (SCS) of FOCSs was proposed to estimate the disturbance on public channels and uncertainty variations. Fourth, the stability of the proposed synchronization control was obtained by using the Lyapunov condition. Finally, to verify the correction of the proposed method, the MATLAB simulation with the use of FONCOM toolbox was used to meet the desired expectations of theoretically proposed method. There are, small reaching times, small steady-states, and most tested disturbances and parameters’ variations were compensated by the proposed DO. © The Author(s) 2023.

关键词： Secure communication

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Memô the Game: Serious Game for Development of Memorization in Children with Autistic Spectrum Disorder 9th

Memô the Game: Serious Game for Development of Memorizat...

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9th Latin American Congress on Biomedical engineering, CLAIB 2022 and 28th Brazilian Congress on Biomedical engineering, CBEB 2022

作者： Freitas, Éberte Panceri, João Schreider, Sheila Caldeira, Eliete Bastos-Filho, Teodiano Postgraduate Program in Electrical Engineering Federal University of Espirito Santo Vitoria Brazil Automation and Control Engineering Department Federal Institute of Espirito Santo Linhares Brazil Electrical Engineering Department Federal University of Espirito Santo Vitoria Brazil Postgraduate Program in Biotechnology Federal University of Espirito Santo Vitoria Brazil

ISBN: (纸本)9783031494062

This work presents the architecture and development of the Serious Game (SG) Memô which is aimed at exercising the Short-Term Memory (STM) of children with Autism Spectrum Disorder (ASD). This serious game proposes an individualized functional approach through Dynamic Difficulty Adjustment (DDA), which considers the performance, the expressed facial emotions, and the level of eye attention during child performance. In addition, it is used to recording the presence of hand and eye stereotypies. The SG is developed in Unity 3D, uses MediaPipe to determine the points of the hands, and is executed by our Socially Assistive Robot (SAR), termed Mobile Autonomous Robot for Interaction with Autistics and Trisomy 21 (MARIA T21). We believe that the creation of SGs to assist in the cognitive development of children with ASD and explore the detection of other stereotyped movements, associating them with a communicative and emotional proposal, is feasible. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Serious games

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A Proposal Of An Iterative Learning control Method For Simulating A Flyback Converter Using PSCAD 9

A Proposal Of An Iterative Learning Control Method For Simul...

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9th International Conference on Applying New Technology in Green Buildings, ATiGB 2024

作者： Cao, Trung Thanh Van, Cuong Trinh Van, Hung Pham Nguyen, Minh Quang Hoang, Anh Hanoi University of Science and Technology School of Electrical and Electronic Engineering Hanoi Viet Nam Ha Noi University of Industry Department of Automation and Control Hanoi Viet Nam

ISBN: (纸本)9798331505042

DC-DC converters are essential components in power supply applications, portable electronics, renewable energy systems, and various other industries. An accurate system model is crucial for the development of the controller for a DC-DC converter. This research study focused on the development of an iterative learning control that operates without requiring the system model. The study employs PSCAD simulation software to simulate and analyze the effectiveness of an iterative learning control and a sliding mode controller for flyback converter. Detailed simulation results and comparisons between the two methodologies will be presented. © 2024 IEEE.

关键词： Sliding mode control

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