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2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024

作者： Miao, Zibo Pan, Yu Gao, Qing School of Mechanical Engineering and Automation Adaptive Robotics Harbin Institute of Technology Guangdong Key Laboratory of Intelligent Morphing Mechanisms Shenzhen518055 China The Institute of Cyber-Systems and Control College of Control Science and Engineering Zhejiang University State Key Laboratory of Industrial Control Technology Hangzhou310027 China The School of Automation Science and Electrical Engineering Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing100191 China

ISBN: (纸本)9781665410205

In this paper we extend our previous research on coherent observer-based pole placement approach to study the synthesis of robust decoherence-free (DF) modes for linear quantum passive systems, which is aimed at preservation of quantum information. In particular, DF modes can be generated by placing the poles on the imaginary axis via a coherent feedback design scheme, and these modes can further be simultaneously made robust against perturbations to the system parameters by minimizing the condition number associated with imaginary poles. We develop explicit algebraic conditions for the existence of such a coherent quantum controller, with the corresponding deign procedure provided. Examples are given to illustrate the process of tuning the DF modes towards perfect robustness via the proposed pole placement technique. © 2024 IEEE.

关键词： Poles

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Path Planning Algorithm for Manipulator Based on Manipulability-Maximizing

Path Planning Algorithm for Manipulator Based on Manipulabil...

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Data Driven control and Learning Systems (DDCLS)

作者： Rui Zhang Shan Liu State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou China

ISBN: (数字)9798350361674

ISBN: (纸本)9798350361681

An improved path planning algorithm based on RRT* is proposed for the manipulator to generate a collision-free path for end-effector in this paper, which maximizes the manipulator's manipulability throughout the entire path. The algorithm introduces manipulability information as prior information to guide the RRT node toward desired regions. By introducing hybrid cost into improved RRT * algorithm, the path length is minimized while the expected manipulability is maximized. Finally, the end-effector path is transformed into a configuration trajectory by solving a multi-objective optimization problem. The simulation results compared with RRT * demonstrates the effectiveness of the proposed algorithm.

关键词： Learning systems Costs Simulation Cost function control systems End effectors Trajectory

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Relabeling Abnormal Videos via Intra-Video Label Propagation for Weakly Supervised Video Anomaly Detection

Relabeling Abnormal Videos via Intra-Video Label Propagation...

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Asian control Conference

作者： Wenhao Zhou Yingxuan Li Jiancheng Zhao Chunhui Zhao State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou China

ISBN: (数字)9789887581598

ISBN: (纸本)9798331540845

Weakly supervised video anomaly detection is chal-lenging due to the lack of frame-level labels in abnormal videos. Previous work generally formulates it as a multiple instance learning (MIL) problem, in which abundant snippets especially including hard snippets in abnormal videos are underutilized, causing the training process to be dominated by redundant easy snippets. In this work, we introduce a semi-supervised learning perspective and aim to provide reliable snippet-level labels for abnormal videos to fully leverage them. Specifically, we propose a relabeling strategy by utilizing the Label Propagation Network (LPN) to propagate labels from confident snippets to hard snippets. Considering label propagation tends to be fragile and inaccurate in this case due to incorrect pseudo labels, we develop a feature relation module to enhance the intra-class compactness and inter-class dispersion, as well as a label separation module to enlarge the discrepancy of propagated labels. The overall model is designed to be concise and universal, which can be applied to existing weakly supervised methods to improve performance. Extensive experiments demonstrate that our method achieves state-of-the-art results on three benchmark datasets.

关键词： Training Accuracy Semisupervised learning Benchmark testing Stability analysis Reliability Anomaly detection

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Comparison of pulse rate variability from post-auricula and heart rate variability during different body states for healthy subjects

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Journal of Medical engineering and technology 2023年第3期47卷 179-188页

作者： Qi, Yusheng Zhang, Aihua Ma, Yurun Chang, Tingting Xu, Jianwen College of Electrical and Information Engineering Lanzhou University of Technology Lanzhou China Key Laboratory of Gansu Advanced Control for Industrial Processes Lanzhou University of Technology Lanzhou China National Demonstration Center for Experimental Electrical and Control Engineering Education Lanzhou University of Technology Lanzhou China College of Computer and Communication Lanzhou University of Technology Lanzhou China

Heart rate variability (HRV) extracted from the electrocardiogram (ECG) is an essential indicator for assessing the autonomic nervous system in clinical. Some scholars have studied the feasibility of pulse rate variability (PRV) instead of HRV. However, there is little qualitative research in different body states. In this paper, the photoplethysmography (PPG) of postauricular and finger and the ECG of fifteen subjects were synchronously collected for comparative analysis. The eleven experiments were designed according to the daily living state, including the stationary state, limb movement state, and facial movement state. The substitutability of nine variables was investigated in the time, frequency, and nonlinearity domain by Passing Bablok regression and Bland Altman analysis. The results showed that the PPG of the finger was destroyed in the limb movement state. There were six variables of postauricular PRV, which showed a positive linear relationship and good agreement (p > 0.05, ratio (Formula presented.) 0.2) with HRV in all experiments. Our study suggests that the postauricular PPG could retain the necessary information of the pulse signal under the limb movement state and facial movement state. Therefore, postauricular PPG could be a better substitute for HRV, daily PPG detection, and mobile health than finger PPG. © 2023 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Photoplethysmography

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Efficient photocatalytic NADH regeneration with Rh-loaded Z-scheme mediator-free system

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Chinese Chemical Letters 2024年第2期35卷 496-500页

作者： Yi Zhou Yiling He Ming Gao Ningkai Ding Juying Lei Yanbo Zhou State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process East China University of Science and TechnologyShanghai 200237China National Engineering Research Center of Industrial Wastewater Detoxication and Resource Recovery East China University of Science and TechnologyShanghai 200237China Shanghai Engineering Research Center for Multi-media Environmental Catalysis and Resource Utilization East China University of Science and TechnologyShanghai 200237China Shanghai Institute of Pollution Control and Ecological Security Shanghai 200092China

Nicotinamide adenine dinucleotide(NADH)regeneration is necessary for the sustainable application of enzymatic *** Rh-based complex[Cp^(*)Rh(bpy)(H)]+has been widely used as an important mediator in NADH regeneration systems,but it is limited by complexity and high ***,a Z-scheme was constructed by loading Rh onto carbon nitride nanosheets/carbon nitride quantum dots(CN-CNQD).The resultant catalyst achieved a high yield of NADH in a mediator-free(M-free)system of 0.283 mmol L^(−1) g^(−1) min^(−1),which is 5.29 times that of pure *** enzyme introduction experiments confirmed that the enzyme active product 1,4-NADH could reach 34.21%selectivity in the M-free *** research revealed that the heterojunction between CNs and CNQDs improved the NADH regeneration activity in the traditional M-involved system,while Rh loading was proved to optimize the yield and selectivity of 1,4-NADH in M-free *** immobilized Rh shows more competitiveness than[Cp^(*)Rh(bpy)(H)]^(+).This study contributes to the construction of an M-free system for further application in greener,lower-cost enzymatic processes.

关键词： Photocatalysis NADH regeneration Mediator-free Carbon nitride Z-scheme

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state and Input Network Reconstruction for Heterogeneous Networked Dynamical Systems

State and Input Network Reconstruction for Heterogeneous Net...

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Chinese control and Decision Conference, CCDC

作者： Weiyang Sun Jinming Xu The State Key Laboratory of Industrial Control Technology The College of Control Science and Engineering Zhejiang University Hangzhou China

ISBN: (数字)9798350387780

ISBN: (纸本)9798350387797

In this paper, we address the reconstruction problem of both state network and input network for heterogeneous networked dynamical systems (NDSs). Different from most existing works, we aim to identify networks of heterogeneous NDSs without assuming any prior knowledge of external input matrices. We first establish a sufficient condition for network reconstruction in noise-free scenarios leveraging an appropriately constructed matrix equation of which parameter matrices are constructed using external inputs and external outputs of heterogeneous NDSs. We develop an identification approach that allows us to accurately reconstruct the state and input networks simultaneously once the matrix equation permits a unique solution, which can be ensured by proper rank conditions. The proposed approach demonstrates its effectiveness in network reconstruction even in the presence of process noise. Finally, we numerically verify the efficacy of the proposed method under both noiseless and noisy conditions.

关键词： Knowledge engineering Sufficient conditions Noise Reconstruction algorithms Noise measurement Dynamical systems

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Topology Reconstruction of Heterogeneous Networked Dynamical Systems with Unknown Input Matrices

Topology Reconstruction of Heterogeneous Networked Dynamical...

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American control Conference (ACC)

作者： Weiyang Sun Jinming Xu Jiming Chen State Key Laboratory of Industrial Control Technology and the College of Control Science and Engineering Zhejiang University Hangzhou China

ISBN: (数字)9798350382655

ISBN: (纸本)9798350382662

We consider the topology reconstruction problem of heterogeneous networked dynamical systems (HNDSs) with unknown input matrices. In particular, we aim to reconstruct a heterogeneous network comprising a state interaction network (SIN) and an external input network (EIN), which differs from most existing works where the EIN network is assumed to be known a priori when reconstructing the SIN network. To this end, we employ subspace analysis to establish necessary-and-sufficient conditions for ensuring the solvability of the topology reconstruction problem of heterogeneous networks. Moreover, we develop a sufficient condition based on coupled matrix equations (CMEs), which allows us to exactly reconstruct both the SIN and EIN networks of the HNDS system when the CMEs permit a unique solution. A numerical example is provided to verify the effectiveness of the proposed method.

关键词： Sufficient conditions Accuracy Network topology Heterogeneous networks Topology Noise measurement Dynamical systems

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Identification of Mixed Organic Pollutants in River Water Based on Graph Convolutional Networks

Identification of Mixed Organic Pollutants in River Water Ba...

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Chinese Automation Congress (CAC)

作者： Shuai Cao Jie Yu Xingyu Fan Qiuhao Zhang Fangjia Xue Dibo Hou State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou China

ISBN: (数字)9798350368604

ISBN: (纸本)9798350368611

In the application of three-dimensional (3-D) fluorescence spectroscopy for river water pollutant detection, traditional feature extraction models often neglect wavelength information and complex intermolecular interrelationships. Moreover, experiments are frequently limited to single-substance classifications. This research addresses these limitations by proposing a novel model for organic pollutant recognition based on graph neural networks (GNNs). The proposed method begins by using the excitation-emission matrix and the wavelength information corresponding to each fluorescence intensity value as inputs. A convolutional neural network (CNN) is initially employed to extract preliminary features from the three-dimensional fluorescence spectra. Subsequently, the initial spectral features obtained during the pre-training stage are used to construct a graph neural network model. This model represents each category of organic pollutants as nodes within the graph, capturing the intrinsic connections between different pollution samples through node interactions. Finally, the model outputs a score vector for each category to classify the pollutants. To validate the proposed model, datasets comprising twelve common organic pollutants, both as single substances and mixtures, were collected. Comparative analysis with other methods demonstrates that the proposed approach achieves a high accuracy rate.

关键词： Volatile organic compounds Accuracy Water quality Fluorescence Feature extraction Water pollution Vectors Rivers Monitoring Active matrix organic light emitting diodes

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Improved Residual Reinforcement Learning for Dynamic Obstacle Avoidance of Robotic Arm

Improved Residual Reinforcement Learning for Dynamic Obstacl...

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Data Driven control and Learning Systems (DDCLS)

作者： Zhenting Liu Shan Liu State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou China

ISBN: (数字)9798350361674

ISBN: (纸本)9798350361681

This paper proposes an improved residual deep reinforcement learning method for robot arm dynamic obstacle avoidance and position servo. The proposed method first simplifies the state space by constructing key points and pre-trains a model capable of completing obstacle avoidance tasks using the simplified state. Then, when training with real state information, a guiding network is used to help accumulate good samples, which improves the training efficiency. To overcome the convergence difficulty of residual DQN in robot arm obstacle avoidance, this paper incorporates the action of the feedback controller into the action space and uses incremental reward values to evaluate the actions. Simulation results demonstrate that the proposed method can effectively achieve robot arm dynamic obstacle avoidance and position servo.

关键词： Training Learning systems Simulation Aerospace electronics Manipulators Deep reinforcement learning Collision avoidance

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Fair Incentive Allocation for Secure Data Sharing in Blockchain Systems: A Shapley Value Based Mechanism 3rd

Fair Incentive Allocation for Secure Data Sharing in Block...

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3rd International Conference on Autonomous Unmanned Systems, ICAUS 2023

作者： Yang, Ming Feng, Honglin Wang, Xin Jiao, Xuguo Wu, Xiaoming Qin, Shuwei Jinan China Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer Science Jinan China School of Information and Control Engineering Qingdao University of Technology Qingdao China State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou China Department of Public Security of Shandong Province Shandong Intelligent Public Security Joint Innovation Center Jinan China

ISBN: (纸本)9789819710829

In the contemporary era of information technology, the exponential surge in data has rendered colossal potential value, which would be fully unlocked through data circulation and sharing. However, when the data contains sensitive information, special attention must be paid to the data privacy and security problem for data sharing. A feasible solution is to incorporate blockchain technology into the data sharing system, and the new challenge is how to provide fair rewards for data owners to motivate them to contribute data. To address this challenge, in this paper, we first design a blockchain-based data sharing system to enhance the trust and reliability of the data shared among participants. Then we propose an incentive allocation method based on the Shapley value, which comprehensively incorporates each participant’s contribution while ensuring fairness for the allocation. Finally, multiple numerical simulations are conducted to validate the effectiveness of the proposed mechanism. © Beijing HIWING Scientific and Technological Information Institute 2024.

关键词： Blockchain

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