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Resilient Event-Triggered Model Predictive control for Adaptive Cruise control Under Sensor Attacks

IEEE/CAA Journal of Automatica Sinica 2023年第3期10卷 807-809页

作者： Zhijian Hu Rong Su Kai Zhang Zeyuan Xu Renjie Ma School of Electrical and Electronic Engineering Nanyang Technological UniversitySingapore 639798Singapore Key Laboratory of Ultra-Precision Intelligent Instrumentation Ministry of Industry and Information Technologyand the Center of Ultra-Precision Optoelectronic Instrument EngineeringHarbin Institute of TechnologyHarbin 150001China Department of Control Science and Engineering Harbin Institute of TechnologyHarbin 150001China Department of Chemical and Biomolecular Engineering National University of SingaporeSingapore 117585Singapore State Key Laboratory of Robotics and Systems Harbin Institute of TechnologyHarbin 150001China IEEE

Dear Editor,This letter addresses the resilient model predictive control(MPC)problems for adaptive cruise control(ACC)systems under sensor *** the light of vulnerabilities of ACC systems to sensor attacks,an intrusion detection mechanism is proposed at the controller side to distinguish abnormal ***,the robust control gains are derived to design the terminal region constraint for MPC.

关键词： Trigger Event constraint

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External blast flow field evolution and response mechanism of single-layer reticulated dome structure

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Defence technology（防务技术） 2023年第6期24卷 241-253页

作者： Shao-bo Qi Guang-yan Huang Xu-dong Zhi Feng Fan State Key Laboratory of Explosion Science and Technology Beijing Institute of TechnologyBeijing100081PR China Key Lab of Structure Dynamic Behaviour and Control of the Ministry of Education Harbin Institute of TechnologyHarbin150090China Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of Ministry of Industry and Information Technology Harbin Institute of TechnologyHarbin150090China Beijing Institute of Technology Chongqing Innovation Center Chongqing401120China

Single-layer reticulated dome structure are commonly high-profile building in the public and can be attractive targets for terrorist bombings,so the public can benefit from enhanced safety with a stronger understanding of the behavior of single-layer reticulated dome structure under *** paper investigates the fluid-structure interaction process and the dynamic response performance of the singlelayer reticulated dome under external blast *** experimental and numerical results shown that structural deformation is remarkably delayed compared with the velocity of blast wave,which advises the dynamic response of large-span reticulated dome structure has a negligible effect on the blast wave propagation under *** failure modes are identified by comparing the plastic development of each ring and the residual spatial geometric of the structure,i.e.,minor vibration,local depression,severe damage,and overall *** plastic deformation energy and the displacement potential energy of the structure are the main consumers of the blast *** addition,the stress performance of the vertex member and the deep plastic ratio of the whole structure can serve as qualitative indicators to distinguish different failure modes.

关键词： External blast loading Reticulated dome structure Fluid-structure interaction Dynamic response mode Response mechanism

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An Encoding-Decoding Framework Based on CNN for circ RNA-RBP Binding Sites Prediction

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Chinese Journal of Electronics 2024年第1期33卷 256-263页

作者： Yajing GUO Xiujuan LEI Yi PAN School of Computer Science Shaanxi Normal University Faculty of Computer Science and Control Engineering Shenzhen Institute of Advanced TechnologyChinese Academy of Sciences Department of Computer Science Georgia State University

Predicting RNA binding protein(RBP) binding sites on circular RNAs(circ RNAs) is a fundamental step to understand their interaction mechanism. Numerous computational methods are developed to solve this problem, but they cannot fully learn the features. Therefore, we propose circ-CNNED, a convolutional neural network(CNN)-based encoding and decoding framework. We first adopt two encoding methods to obtain two original matrices. We preprocess them using CNN before fusion. To capture the feature dependencies, we utilize temporal convolutional network(TCN) and CNN to construct encoding and decoding blocks, respectively. Then we introduce global expectation pooling to learn latent information and enhance the robustness of circ-CNNED. We perform circ-CNNED across 37 datasets to evaluate its effect. The comparison and ablation experiments demonstrate that our method is superior. In addition, motif enrichment analysis on four datasets helps us to explore the reason for performance improvement of circ-CNNED.

关键词： Circular RNAs (circRNAs) RNA binding proteins Convolutional neural network Temporal convolutional network Encoder-decoder network

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A Novel Fast Fixed-Time control for Robotic Manipulator Based on Disturbance Observer 49

A Novel Fast Fixed-Time Control for Robotic Manipulator Base...

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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Chen, Weiliang Niu, Yichen Zhang, Ouyang Liu, Zhuang Liu, Jianxing Harbin Institute of Technology Dept. of Control Science and Engineering Harbin China School of Mathematics Harbin Institute of Technology Harbin China

ISBN: (纸本)9798350331820

This paper studies the problem of trajectory tracking control for robotic manipulators subject to model uncertainties, external disturbance and actuator saturation. At first, a nonsingular fixed-time sliding mode variable is developed based on a novel fixed-time stable system, which solves the singularity problem brought by the terminal sliding mode control and obtains a fast convergence rate. After that, a novel fixed-time sliding mode observer is designed to estimate and compensate the model uncertainties and external disturbance. The fixed-time stability of the system under the proposed composite control is proved by Lyapunov stability theory. Finally, the effectiveness of the method is verified by comparative simulation. © 2023 IEEE.

关键词： Sliding mode control

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Sensitivity analysis and probability modelling of the structural response of a single-layer reticulated dome subjected to an external blast loading

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Defence technology（防务技术） 2023年第5期23卷 152-163页

The structural response of a single-layer reticulated dome to external explosions is shaped by many variables,and the associated uncertainties imply non-deterministic *** deterministic methods for predicting the consequences of specific explosions do not account for these ***,the impact of the uncertainties associated with these input variables on the structures’response needs to be studied and *** this study,a parametric uncertainty analysis was conducted ***,local and global sensitivity analyses were carried out to identify the drivers of the structural dynamic response.A probabilistic structural response model was established based on sensitive variables and a reasonable sample ***,some deterministic empirical methods for explosion-resistance design,including the plane blast load model of CONWEP,the curved blast load model under the 50%assurance level,and the 20%mass-increased method,were used for evaluating their *** results of the analyses revealed that the structural response of a single-layer reticulated dome to an external blast loading is lognormally ***,the MB0.5 method based on the curved reflector load model yielded results with a relatively stable assurance rate and reliability,but CONWEP did not;thus,the 1.2MB0.5 method can be used for making high-confidence simple *** addition,the results indicated that the structural response is very sensitive to the explosion *** on these results,it is suggested that for explosion proofing,setting up a defensive barrier is more effective than structural strengthening.

关键词： Dome structure Blast load uncertainty Sensitivity analysis Probabilistic investigation Reliability evaluation

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Hierarchical Retrieval of High-Resolution Fingerprints Based on Pore Feature

Hierarchical Retrieval of High-Resolution Fingerprints Based...

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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024

作者： Ma, Jing Xu, Yuanrong Dong, Suyu Wang, Wei Harbin Institute of Technology School of Computer Science and Technology Shenzhen China Harbin Institute of Technology School of Computer Science and Technology Weihai China Northeast Forestry University College of Computer and Control Engineering Harbin China

ISBN: (纸本)9798350386226

Faced with an escalating number of fingerprint images, most existing retrieval approachs suffer from a common problem: diminishing computational efficiency. This paper presents a hierarchical retrieval system tailored for high-resolution fingerprint images that utilizes abundant pore features and robust recognizability to improve retrieval performance. The framework comprises two core components. Firstly, a CNN-based feature extraction network is established, incorporating an attention mechanism to capture pore features in fingerprint images comprehensively. Subsequently, a hierarchical fingerprint retrieval approach is introduced, involving connection graph construction and a hierarchy of jump table structures for efficient retrieval of query pores. Empirical experiments conducted on high-resolution fingerprint image datasets underscore the system's effectiveness. Compared with other advanced pore-based fingerprint retrieval methods, the proposed method exhibits a notable rise in the hit rate with reduced penetration rates, significantly reducing the retrieval time. © 2024 IEEE.

关键词： Image enhancement

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Heterostructure high-entropy alloys with exceptional thermal stability and resistance towards intermediate temperature embrittlement

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Journal of Materials science & technology 2024年第21期188卷 228-233页

作者： Boxuan Cao Wuxin Zhao Lijun Jing Yilu Zhao Jinxiong Hou Suzhu Yu Guoqiang Xie Weihong Liu Tao Yang Jun Wei School of Materials Science and Engineering Harbin Institute of Technology(Shenzhen)Shenzhen 518055China Hong Kong Institute for Advanced Study Department of Materials Science and EngineeringCity University of Hong KongHong KongChina

The emergence of high-entropy alloys(HEAs)provides numerous elemental combinations to design advanced alloys for structural applications[1–4].Introducing coherent nanoparticles into a face-centered cubic(FCC)high-entropy matrix significantly strengthens the alloys without causing severe embrittlement,which sheds light on developing new-generation strong-yetductile structural materials[5].

关键词： alloys resistance ductile

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Advancing smart dry adhesives with shape memory polymers

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International Journal of Smart and Nano Materials 2025年第1期16卷 103-143页

作者： Changhong Linghu Tong Mu Wei Zhao Yangchengyi Liu K.Jimmy Hsia Jinsong Leng Huajian Gao School of Mechanical and Aerospace Engineering Nanyang Technological UniversitySingapore Centre of Composite Materials and Structures Harbin Institute of Technology(HIT)HarbinPeople’s Republic of China Department of Astronautical Science and Mechanics Harbin Institute of Technology(HIT)HarbinPeople’s Republic of China School of Chemistry Chemical Engineering and BiotechnologyNanyang Technological UniversitySingapore Mechano-X Institute Applied Mechanics LaboratoryDepartment of Engineering MechanicsTsinghua UniversityBeijingChina

Smart dry adhesives,a rapidly growing class of intelligent materials and structures,are engineered to provide strong,robust adhesion when needed while also allowing for controlled,easy detachment in response to specific *** smart adhesives,often exemplified by fibrillar structures made of elastomers,face a number of *** include limitations on maximum adhesion strength imposed by microstructural dimensions,restricted adaptability to surfaces with varying degrees of roughness,and an inherent trade-off between adhesion strength and *** review explores how shape memory polymers(SMPs)can address these challenges and,through their rubber-to-glass(R2G)transition capability,provide a powerful foundation for the next generation of smart dry ***,we summarize and elucidate the mechanisms by which SMPs enhance adhesion strength and switchability through material characteristics such as tunable stiffness,shape-locking,and shape-memory ***,we discuss a wide range of innovative designs and applications of SMP adhesives,offering insights into the ongoing challenges and emerging opportunities in this rapidly evolving field.

关键词： Smart dry adhesive shape memory polymer R2G adhesion adhesion strength adhesion switchability

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Channel and Spatial Attention Mechanism-based Yolo Network for Target Detection of the Lung Ultrasound Scanning Robot 9

Channel and Spatial Attention Mechanism-based Yolo Network f...

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9th International Conference on control science and Systems engineering, ICCSSE 2023

作者： Zhang, Boheng Xu, Kun Cong, Haibo Sun, Mingjian Harbin Institute of Technology Department of Control Science and Engineering Harbin China School of Information Science and Engineering Harbin Institute of Technology Weihai China Shandong First Medical University Department of Orthopedics Jinan China

ISBN: (纸本)9798350339055

Ultrasonography is the preferred method for detecting lung lesions, which has been widely recognized and adopted. In order to reduce the work stress and risk of infection for health care workers, lung ultrasound (LUS) scanning robots can be used to perform this task instead of doctors. For the LUS scanning robot, the first critical step is the detection of the scanned areas of the patient's lungs. The algorithms using computer vision and deep learning have made significant progress in the field of target detection, which are being applied more and more frequently to robotic autonomous decision-making. However, some of the performance of the traditional convolutional neural networks (CNN) still needs to be improved due to the more stringent requirements for real-Time, accuracy and hardware cost of LUS scanning robots. The effectiveness of CNN combined with computer vision for detecting scanned sites in LUS scanning robots is explored and a lightweight Yolo network based on the attention mechanism is proposed. We use Yolo V4-Tiny model as the backbone network. Then the depth feature information of the feature layer output from the backbone network are extracted by adding space and channel attention mechanism, and the prediction results are output by using Yolo head model. Meanwhile, we also optimize the loss function of the network to further improve the performance of the network. Compared to several classical algorithms, the proposed method improves the target detection performance of the LUS scanning robot, which achieves 98.83% average precision, 96.87% precision, and 91.00% F1 score. We apply the proposed algorithm to the designed LUS scanning robot system and conduct clinical experiments. The results have shown that the proposed method has a 3D localization accuracy of 7.53 ± 0.37mm for the lung scanned sites, which has the potential to be applied to the target detection of the LUS scanning robot. © 2023 IEEE.

关键词： Ultrasonic applications

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The impact of vacancy defective MgH_(2)(001)/(110)surface on the dehydrogenation of MgH_(2)@Ni-CNTs:A mechanistic investigation

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Journal of Materials science & technology 2024年第22期189卷 77-85页

作者： Congwen Duan Xinya Wang Haimei Wang Mengmeng Wu Yuchen Fan Jinhui Wu Ting Qu Bogu Liu Lianxi Hu Poqian Liang Fei Wang Ying Wu Hebei Key Lab of Power Plant Flue Gas Multi-Pollutants Control Department of Environmental Science and EngineeringNorth China Electric Power UniversityBaoding 071003China Institute of Energy Power Innovation North China Electric Power UniversityNo.2 Beinong RoadChangping DistrictBeijing 102206China School of Materials Science and Engineering Harbin Institute of TechnologyHarbin 150001China College of Materials Science and Engineering Sichuan UniversityChengdu 610065China

The vacancy defect exhibits a remarkable improvement in the dehydriding property of MgH_(2)@***,the corresponding mechanism is still not fully ***,the impact of vacancy defects on the dehydrogenation properties of MgH_(2)@Ni-CNTs was studied by DFT simulation,and the corresponding models were constructed based on *** dehydrogenation process of MgH_(2)can be regarded as the dissociation of Mg-H and desorption of H_(2)from the MgH_(2)*** view of the whole dehydrogenation,the dissociation of H^(−)is the rate-determining step,which is the main reason for restricting the dehydrogenation *** with vacancy vacancy-defective MgH_(2)(001)surface,the appearance of vacancy defects on the(110)surface substantially reduces the energy barrier required for H dissociation to 0.070 *** reason is that vacancy defects accelerate the transition of electrons from the H^(−)s orbit to the Mg^(2+)3s orbit,resulting in a decrement of the Mg-H bond strength,which makes H atoms more easily dissociated from the MgH_(2)(110)***,the existence of vacancy defects improves the dehydriding kinetic of MgH_(2).Most importantly,this research offers crucial directions for developing hydrogen storage materials as well as a potential fix for the slow dehydrogenation kinetics of nano-confined MgH_(2).

关键词： MgH_(2) Vacancy defect Hydrogen storage Hydrogen dissociation and desorption

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