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SSRN 2023年

作者： Liu, Lianguang Lv, Junting Li, Depeng Xu, Bingrong Chen, Chongyang Zeng, Zhigang School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Wuhan430074 China School of Automatio Wuhan University of Technology Wuhan430074 China

Deep neural networks for 3D point clouds have shown significant progress in safety-critical applications. However, the robustness of these deep 3D models is insufficient-explored when faced with adversarial attacks. The existing point clouds attack methods usually rely on detailed model information (white-box attacks) or access to the training data (transfer-based black-box attacks). In this work, we make the first attempt in decision-based black-box attack for point clouds (PCDA), which only leverages the predicted labels of the victim models. Specifically, a novel perturbation projection based on chamfer distance is developed to be compatible with 3D irregular data, and the gradient estimation based on low-dimensional subspaces can generate smoother perturbations. Moreover, armed with iterative closest point, the novel perturbation initialization can improve the effectiveness of targeted black-box attacks. Evaluated on a variety of typical 3D models, our algorithm can efficiently generate smooth 3D adversarial samples with a lower magnitude of perturbations. © 2023, The Authors. All rights reserved.

关键词： Deep neural networks

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Semiglobal Observer-Based Non-Negative Edge Consensus of Networked Systems With Actuator Saturation

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IEEE TRANSACTIONS ON CYBERNETICS 2020年第6期50卷 2827-2836页

作者： Su, Housheng Sun, Yaping Zeng, Zhigang Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Key Lab Image Proc & Intelligent Control Educ Minist China Wuhan 430074 Peoples R China

The observer-based edge-consensus problem of networked continuous-time dynamical systems with edge state non-negative constraint and actuator saturation is considered in this paper. Based on line graph theory, low-gain output-feedback technique and algebraic Riccati equation (ARE)-based method, two edge-consensus algorithms are designed to achieve the observer-based edge consensus, in which the specific mathematical expressions of the two algorithms are obtained. Meanwhile, sufficient conditions are obtained to meet the bounded inputs and the non-negative edge states by combining with the ARE-based low-gain output-feedback technique and the positive system theory. Moreover, the feedback-gain and observer-gain matrices which must meet the sufficient conditions at the same time are existed and easy to obtain. Finally, two simulation cases are introduced to show the effectiveness of the theoretical results.

关键词： Actuators Network topology Observers Kinetic theory Heuristic algorithms Graph theory Cybernetics Actuator saturation edge consensus low-gain output feedback non-negative constraint observer

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Consensus of Delayed Fractional-Order Multiagent Systems With Intermittent Sampled Data

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IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 2020年第6期16卷 3828-3837页

作者： Ye, Yanyan Su, Housheng Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Image Proc & Intelligent Control Key Lab Educ Minist China Wuhan 430074 Peoples R China

In this article, the consensus problem for the delayed fractional-order multiagent system (FOMAS) under directed graph is addressed by intermittent sampled-data control. First, an intermittent sampled-data control protocol with input time delay is proposed. By virtue of Laplace transform and stability theory, some necessary and sufficient conditions depending on the order, input time delay, sampling period, communication width, coupling strengths, and network structure are presented for the delayed FOMASs to reach consensus. Moreover, due to the relationship about the input time delay, communication width, and sampling period, four cases are carefully discussed to find that the sampling period has bounds for a given network with known input time delay and communication width to obtain consensus. Finally, some simulation examples are shown to verify the theoretical results.

关键词： Delay effects Laplace equations Multi-agent systems Protocols Eigenvalues and eigenfunctions Informatics Stability analysis Consensus fractional-order input time delay intermittent sampled-data control multiagent system

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Thermoelectric Tracking control of Solid Oxide Fuel Cell System Using Adaptive Dynamic Programming

Thermoelectric Tracking Control of Solid Oxide Fuel Cell Sys...

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Chinese control and Decision Conference, CCDC

作者： Xiao-Long Wu Hongli Liu Hong Zhang Jinting Fu Bin Xie Han Hu Xi Li School of Information Engineering Nanchang University Nanchang Jiangxi School of Artificial and Automation Key Laboratory of Education Ministry for Image Processing and Intelligent Control Huazhong University of Science & Technology Wuhan

ISBN: (纸本)9781665478977

An adaptive optimal control strategy for solid oxide fuel cell power generation systems (SOFCs) is proposed in this paper. A new estimator is proposed in a simple form to solve the modeling uncertainty, and express the control of SOFCs as an optimal control problem. Then, a new system thermoelectric parameter tracking control strategy is proposed. The strategy uses data-driven to build the recursive neural network model of the system thermoelectric parameters. In order to ensure convergence, an adaptive law based on parameter estimation error is proposed to update the weights of neural networks online. The simulation results show that the data-driven model can effectively identify the power generation process of solid oxide fuel cell system. At the same time, the control method can realize the optimal tracking control of power, voltage, stack temperature and afterburner temperature with limited input.

关键词： Adaptation models Adaptive systems Fuel cells Process control Optimal control Solids Temperature control

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Predictor-Based Active Anti-Disturbance control for Multi-Rate control Systems with Delayed Sampled-Data 40

Predictor-Based Active Anti-Disturbance Control for Multi-Ra...

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40th Chinese control Conference (CCC)

作者： Sun, Jiankun Zeng, Zhigang Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Wuhan 430074 Peoples R China Educ Minist China Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China

ISBN: (纸本)9789881563804

In this paper, we consider the problem of sampled-data active anti-disturbance control design for multi-rate control system subject to delayed sampled-data output. The plant considered in this paper is equipped with a slow-rate sensor and a fast-rate actuator. In the presence of non-vanishing disturbance, a new output predictor-based observer is first proposed by only using the delayed sampled-data output, so as to effectively estimate system state and disturbance in the inter-sample time interval. A new sampled-data controller that updates at a fast-rate is then designed with the help of active anti-disturbance technique. Thanks to prediction and active anti-disturbance techniques, the proposed sampled-data control method can effectively reject the influence of non-vanishing disturbance despite slow-rate sampling and delay of sensor. Finally, the effectiveness of the proposed control method is demonstrated via simulation results of a practical example of the visual servoing control for an inertially stabilized platform.

关键词： Sample-data active anti-disturbance control output delay multi-rate control system

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A Disturbance Rejection Framework for Finite-Time and Fixed-Time Stabilization of Delayed Memristive Neural Networks

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IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 2021年第2期51卷 905-915页

作者： Wang, Leimin Zeng, Zhigang Ge, Ming-Feng China Univ Geosci Sch Automat Wuhan 430074 Peoples R China China Univ Geosci Hubei Key Lab Adv Control & Intelligent Automat C Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Sch Automat Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Educ Minist China Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China China Univ Geosci Sch Mech Engn & Elect Informat Wuhan 430074 Peoples R China

This paper proposes a unified framework to design sliding-mode control for stabilization of delayed memristive neural networks (DMNNs) with external disturbances. Under the presented framework, finite-time stabilization, and fixed-time stabilization of the controlled DMNNs can be, respectively, obtained by choosing different values for a specific control parameter. It is proved that the system responses can be made reaching the designed sliding-mode surface in finite and fixed time, and then stay on it. Moreover, it also illustrates that the inevitable external disturbances can be rejected by the designed sliding-mode control. Finally, the efficiency and superiority of the obtained main results are verified by comparisons with related works and numerical simulations.

关键词： Delayed memristive neural networks (DMNNs) finite-time stabilization (FTS) fixed-time stabilization (FxTS) sliding-mode control unified framework

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Difference in Uptake Pattern Heterogeneity and Reproducibility of Radiomics Features Between FAPI and FDG Pet/Ct Imaging of Tumors

Difference in Uptake Pattern Heterogeneity and Reproducibili...

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IEEE International Symposium on Biomedical Imaging

作者： Tianmeng Xu Yanchao Huang Tingting Ang Shuilin Chu Peiyin Luo Shunfang Wang Yufeng Zhang Lijun Lu Ganghua Tang Wenbing Lv School of Information and Yunnan Key Laboratory of Intelligent Systems and Computing Yunnan University Kunming China Department of Nuclear Medicine Laboratory for Quality Control and Evaluation of Radiopharmaceuticals Nanfang Hospital Southern Medical University Guangzhou China School of Biomedical Engineering and Guangdong Provincial Key Laboratory of Medical Image Processing Southern Medical University Guangzhou China

ISBN: (数字)9798350313338

ISBN: (纸本)9798350313345

To investigate the difference in uptake pattern heterogeneity between fluorodeoxyglucose (FDG) and fibroblast activation protein inhibitor (FAPI) PET/CT and the reproducibility of radiomics features with respect to different calculation methods of standardized uptake value (SUV). 210 patients with various tumors were involved. Among the extracted 497 radiomics features, there are only 20 features that exhibited an ICC difference of more than 0.25 between the two tracers when using different SUV calculation methods, revealing the similar influence of SUV calculation methods. In contrast, the ICC values for most texture features were generally lower (0.22-0.39) between FDG and FAPI PET images, indicating a large difference in uptake pattern heterogeneity between the two tracers. Our results demonstrated that the influence of SUV calculation methods on the reproducibility of FDG and FAPI PET features is similar. The uptake pattern heterogeneity characterized by radiomics features between FDG and FAPI PET images is significantly different.

关键词： Proteins Protein engineering Inhibitors Fibroblasts Feature extraction Reproducibility of results Radiomics

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Stability and Robust Stability of Stochastic Reaction-Diffusion Neural Networks With Infinite Discrete and Distributed Delays

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IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 2020年第5期50卷 1721-1732页

作者： Sheng, Yin Zhang, Hao Zeng, Zhigang Huazhong Univ Sci & Technol Sch Automat Key Lab Image Proc & Intelligent Control Educ Minist China Wuhan 430074 Hubei Peoples R China Huazhong Univ Sci & Technol Natl Lab Optoelect Wuhan 430074 Hubei Peoples R China Huazhong Univ Sci & Technol Key Lab Image Proc & Intelligent Control Educ Minist China Wuhan 430074 Hubei Peoples R China

This paper investigates the $\phi $ -type stability and robust stability for a general class of stochastic reaction-diffusion neural networks (SRDNNs) with Dirichlet boundary conditions, infinite discrete time-varying delays, and infinite continuously distributed delays. By virtue of inequality techniques, properties of $\boldsymbol M$ -matrix, and theories of stochastic analysis, several sufficient criteria are obtained to guarantee the almost sure $\boldsymbol \phi $ -type stability, $\boldsymbol p$ th moment $\boldsymbol \phi $ -type stability, and $\boldsymbol \phi $ -type robust stability of the underlying SRDNNs with hybrid unbounded time delays. With appropriate choices of the function $\boldsymbol \phi $ , the $\boldsymbol \phi $ -type stability reduces to the exponential stability, polynomial stability, and logarithmic stability. Additionally, the developed results herein include some existing ones as special cases. A numerical simulation is performed to substantiate the effectiveness and superiority of the theoretical analysis.

关键词： Infinite discrete delay infinite distributed delay robust stability stability stochastic reaction-diffusion neural networks (SRDNNs)

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Vision-Based Finger Tapping Test in Patients With Parkinson's Disease via Spatial-Temporal 3D Hand Pose Estimation

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IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS 2022年第8期26卷 3848-3859页

作者： Guo, Zhilin Zeng, Weiqi Yu, Taidong Xu, Yan Xiao, Yang Cao, Xuebing Cao, Zhiguo Huazhong Univ Sci & Technol Minist Educ Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Wuhan 430074 Peoples R China Columbia Univ Fu Fdn Sch Engn & Appl Sci New York NY 10027 USA Huazhong Univ Sci & Technol Tongji Med Coll Union Hosp Dept Neurol Wuhan 430022 Peoples R China

Finger tapping test is crucial for diagnosing Parkinson's Disease (PD), but manual visual evaluations can result in score discrepancy due to clinicians' subjectivity. Moreover, applying wearable sensors requires making physical contact and may hinder PD patient's raw movement patterns. Accordingly, a novel computer-vision approach is proposed using depth camera and spatial-temporal 3D hand pose estimation to capture and evaluate PD patients' 3D hand movement. Within this approach, a temporal encoding module is leveraged to extend A2J's deep learning framework to counter the pose jittering problem, and a pose refinement process is utilized to alleviate dependency on massive data. Additionally, the first vision-based 3D PD hand dataset of 112 hand samples from 48 PD patients and 11 control subjects is constructed, fully annotated by qualified physicians under clinical settings. Testing on this real-world data, this new model achieves 81.2% classification accuracy, even surpassing that of individual clinicians in comparison, fully demonstrating this proposition's effectiveness. The demo video can be accessed at https://***/ZhilinGuo/ST-A2J.

关键词： Three-dimensional displays Thumb Feature extraction Pose estimation Cameras Wearable sensors Diseases 3D kinematic feature depth camera finger tapping test MDS-UPDRS Parkinson's disease spatial-temporal 3D hand pose estimation SVM

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Human-Following control of Cane-Type Walking-Aid Robot Within Fixed Relative Posture

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IEEE-ASME TRANSACTIONS ON MECHATRONICS 2022年第1期27卷 537-548页

作者： Yan, Qingyang Huang, Jian Yang, Zhaohui Hasegawa, Yasuhisa Fukuda, Toshio Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Minist Educ Image Proc & Intelligent Control Key Lab Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Tongji Med Coll Union Hosp Dept Rehabil Wuhan 430022 Peoples R China Nagoya Univ Dept Micronano Syst Engn Nagoya Aichi 4648603 Japan Meijo Univ Fac Sci & Technol Dept Mechatron Engn Nagoya Aichi 4688502 Japan

Assisting and supervising daily long-durational walking is very crucial for patients with lower extremity dysfunction, especially in the stage of recovery toward a state of walking independently. However, due to the shortage of caregivers and high cost of nursing, long-term manual assistance and supervision is costly. Thus, in this article, we propose a cane-type walking-aid robot to follow a human user for the safety and supervision of independent walking during rehabilitation training. Strongly motivated by clinical suggestions and user experiences, the human-following rule that the robot should follow the user in the required position within a fixed relative posture (keeping a certain distance in front of the user, 15-20 cm lateral to the healthy side, and 0 degrees to the user's orientation) is established. To guarantee a reliable following, a quantitative human walking intention estimation method is proposed using the on-board laser ranger finder and Kalman filter. To effectively monitor the user's walking, a finite-time control method for the cane robot is also proposed to ensure its human-following performance. Experiments were conducted to demonstrate the effectiveness of the proposed system and methods. The experimental results show that the proposed system can obtain satisfactory performance of human following and can be made available for different users in different walking modes.

关键词： Legged locomotion Robots Robot kinematics Robot sensing systems Mechatronics Safety IEEE transactions Cane robot finite-time control human-following walking aid

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