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Generic and flexible self-correction method for nonlinearity-induced phase error in three-dimensional imaging

Chinese Optics Letters 2024年第6期22卷 129-135页

作者： Jianhua Wang Peng Xu Yanxi Yang School of Information and Control Engineering Qingdao University of TechnologyQingdao 266520China School of Automation and Information Engineering Xi’an University of TechnologyXi’an 710048China

In three-dimensional imaging employing phase-shifting profilometry(PSP), the nonlinear response of projector and camera makes the fringe gray distribution non-sinusoidal, which further leads to phase error. Although the double 3-step phaseshifting method is simple and effective, it needs to add an additional set of fringe sequences, which reduces the measurement efficiency. To this end, this paper introduces a generic and flexible self-correction method for nonlinearity-induced phase ***, according to the nonlinearity-induced phase error model, we introduce an additional wrapped phase with a phase difference of π/3. The error waveform of the two wrapped phases is opposite but not coincident. Then, we introduce an estimation algorithm for the additional wrapped phase offset. Finally, we fuse the two wrapped phases to correct the phase error. Experiments confirm that the root mean squared error of the proposed method is 64.1% lower than that of the traditional method and 13.3% lower than that of the Hilbert transform method. The proposed method does not require any additional fringes or hardware assistance and can be easily extended to 4-step or 5-step PSP.

关键词： three-dimensional imaging phase-shifting profilometry nonlinear response self-correction Hilbert transform

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Foreground Segmentation Network with Enhanced Attention

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Journal of Shanghai Jiaotong university(Science) 2023年第3期28卷 360-369页

作者：姜锐朱瑞祥蔡萧萃苏虎 College of Information Engineering Shanghai Maritime UniversityShanghai 201306China Research Center of Precision Sensing and Control Institute of AutomationChinese Academy of SciencesBeijing 100190China

Moving object segmentation (MOS) is one of the essential functions of the vision system of all robots,including medical robots. Deep learning-based MOS methods, especially deep end-to-end MOS methods, are actively investigated in this ﬁeld. Foreground segmentation networks (FgSegNets) are representative deep end-to-endMOS methods proposed recently. This study explores a new mechanism to improve the spatial feature learningcapability of FgSegNets with relatively few brought parameters. Speciﬁcally, we propose an enhanced attention(EA) module, a parallel connection of an attention module and a lightweight enhancement module, with sequentialattention and residual attention as special cases. We also propose integrating EA with FgSegNet_v2 by taking thelightweight convolutional block attention module as the attention module and plugging EA module after the twoMaxpooling layers of the encoder. The derived new model is named FgSegNet_v2 EA. The ablation study veriﬁesthe effectiveness of the proposed EA module and integration strategy. The results on the CDnet2014 dataset,which depicts human activities and vehicles captured in different scenes, show that FgSegNet_v2 EA outperformsFgSegNet_v2 by 0.08% and 14.5% under the settings of scene dependent evaluation and scene independent evaluation, respectively, which indicates the positive effect of EA on improving spatial feature learning capability ofFgSegNet_v2.

关键词： human-computer interaction moving object segmentation foreground segmentation network enhanced attention convolutional block attention module

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Aperiodically Intermittent control Approach to Finite-Time Synchronization of Delayed Inertial Memristive Neural Networks

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2025年第4期6卷 1014-1023页

作者： Jiang, Yuxin Zhu, Song Shen, Mouquan Wen, Shiping Mu, Chaoxu School of Mathematics Xuzhou221116 China Nanjing Technology University College of Electrical Engineering and Control Science Nanjing211816 China University of Technology Sydney Centre for Artificial Intelligence UltimoNSW2007 Australia Tianjin University School of Electrical and Automation Engineering Tianjin300072 China

This article investigates the finite-time synchronization (FTS) for inertial memristive neural networks (IMNNs) with time-delays by the aperiodically intermittent control approach. Compared with the reduced-order method utilized in the existing literature, this article considers the FTS of delayed IMNNs directly without order reduction. First, the error IMNNs with time-delays is designed through the theories of set-valued mappings and differential inclusions, and its finite-time stability problem is discussed by applying the finite-time stability theorem. Furthermore, by constructing nonperiodic intermittent state-feedback controller and nonperiodic intermittent adaptive control strategy, the sufficient criteria to ensure the FTS of the master-slave delayed IMNNs are derived, and the settling times are explicitly estimated. Finally, a simulation to confirm the availability of results is provided. © 2020 IEEE.

关键词： Time delay

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Cahn-Hilliard Equation in Noise Reduction and Concentration-Dependent Heat Transfer

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Defect and Diffusion Forum 2024年 436卷 127-136页

作者： Bandeira, João Gabriel Piraine Kurz, Gustavo Braz Buske, Daniela de Quadros, Régis Sperotto Weymar, Guilherme Jahnecke Furtado, Igor da Cunha Control and Automation Engineering Federal University of Pelotas RS Brazil Postgraduate Program in Mathematical Modeling Federal University of Pelotas RS Brazil Sul-Rio-Grandense Federal Institute of Education Science and Technology RS Brazil

The Cahn-Hilliard equation, known for describing the evolution of interfaces in multicomponent systems, can also be employed to noise reduction in mathematical functions and concentration-dependent heat transfer simulations. This work presents a finite difference method discretization of the Cahn-Hilliard equation and explores its applications. For noise reduction, three different noisy functions are simulated, demonstrating effective recovery of original functions despite significant noise levels. In heat transfer simulations, three initial temperature distributions are explored with concentration-dependent thermal diffusivity. Results show that concentration significantly affects thermal diffusivity and heat propagation, leading to non-uniform temperature distributions. Comparative simulations without concentration influence highlight the distinct impact of concentration on thermal behavior. The study underscores a reliable approach to noise reduction and insight into concentration-dependent heat transfer dynamics. © 2024 Trans Tech Publications Ltd, All Rights Reserved.

关键词： Noise abatement

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Stability and bifurcation analysis of delayed tri-trophic food chain model in poisoned environment with fear effect and additional food

Stability and bifurcation analysis of delayed tri-trophic fo...

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作者： Ramasamy, Sivasamy Banjerdpongchai, David Park, PooGyeon Center of Excellence in Intelligent Control Automation of Process Systems Department of Electrical Engineering Faculty of Engineering Chulalongkorn University Bangkok Thailand Department of Electrical Engineering Pohang University of Science and Technology Pohang Korea Republic of

One of the most important goals of theoretical ecologists is to find a strategy for controlling the chaos in ecological models to maintain healthy ecosystems. We investigate the influence of fear and the supply of additional food to predators in a delayed tri-trophic food chain model, where interference among the species is determined by Holling type-II functional response. The proposed model incorporates the fact that the growth rates of prey and middle predators are decreased due to the fear of middle and special predators, respectively. The additional food is supplied to both predators by either nature or external agencies. Furthermore, the poisoned prey in the predator's environment is taken into account. In the proposed model, we use two time delays: one for the growth term of the middle predator and another for the gestation delay of the special predator. We determine the conditions for the existence of ecologically feasible equilibrium points and their local and global stability. In addition, we establish the conditions for the existence of Hopf bifurcation around interior equilibrium to seek periodic behavior in nondelayed and delayed models. Numerical investigations are performed to justify the proposed theoretical findings through phase portraits, time series of solutions, and bifurcation diagrams. We observe that the chaotic dynamics of a tri-trophic food chain model can be controlled by the proper choice of the fear effect and by supplying additional food parameters. As a result, our findings provide more ecological insights into the dynamics of the delayed tri-trophic food chain model with the fear effect and additional food supply. © 2023 John Wiley & Sons, Ltd.

关键词： Hopf bifurcation

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Graph-guided masked autoencoder for process anomaly detection

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Process Safety and Environmental Protection 2024年 186卷 1345-1357页

作者： Jia, Mingwei Xu, Danya Yang, Tao Yao, Yuan Liu, Yi Institute of Process Equipment and Control Engineering Zhejiang University of Technology Hangzhou310023 China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang110819 China Department of Chemical Engineering National Tsing Hua University Hsinchu300044 Taiwan

Developing an accurate and reliable anomaly detection model is of great significance for safe operation in the process industry. To minimize false positives, it is crucial to accurately model the intricate topological and nonlinear connections among variables. In this study, a process anomaly detection method based on graph-guided masked autoencoder (GGMAE) is proposed by introducing the concept of the graph to the process industry. GGMAE first constructs a topology graph according to the process flowchart. Then, the patch and mask mechanism forces GGMAE to learn the process intrinsic information to reconstruct the input according to the variable topological relationship and temporal characteristics. Additionally, Kullback-Leibler divergence is used as the loss to ensure that the distribution of input and output is consistent. Experiments on two publicly available anomaly detection benchmarks demonstrate the superiority of GGMAE over existing methods. Visualization of the results demonstrates the physically compliant reconstruction logic. © 2024 The Institution of Chemical Engineers

关键词： Anomaly detection

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Preliminary study of the electrospray DPE peculiarities from the liquid surface in the presence of the CSWs

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Plasma Science and Technology 2024年第5期26卷 110-120页

作者：贺伟国霍卫杰韩罗峰朱康武王锋王泽坤 School of Mechatronic Engineering and Automation Shanghai UniversityShanghai 200444People’s Republic of China Shanghai Aerospace Electronic Technology Institute Shanghai 201109People’s Republic of China Shanghai Aerospace Control Technology Institute Shanghai 201109People’s Republic of China

The Ultrasonic Electric Propulsion(UEP)system is a cutting-edge propulsion technology that is mostly used on platforms for small satellites(less than 10 kg).The characteristics of droplet partial emissions(DPEs)in the UEP system are investigated using a high-speed imaging technique(an ultra-high speed camera(NAC HX-6)and a long-distance microscope)in this *** experiments demonstrate that there are a few partial emission modes,including left-side emission,double-side emission,and right-side emission,that are present in the droplet emission process of the UEP *** modes are primarily caused by the partial formation of capillary standing waves(CSWs)on the emission surface of the ultrasonic *** emission rate for single-and double-sided emissions varies at different times,indicating that there are different CSWs engaged in droplet emission due to variations in the liquid film thickness and charge state of the liquid ***,as the droplets emit continuously,a raised area on the emission surface appears,with several droplets emitting there as a result of charge ***,photos of the CSWs with emitting droplets are obtained,which highlights the CSWs'distinctive wave morphology.

关键词： ultrasonic electric propulsion system microsatellite high-speed imaging technique droplet partial emissions electric field

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EMI Noise Reduction with Magnetic Integrated LCL Filter in the Grid-Connected Inverter 49

EMI Noise Reduction with Magnetic Integrated LCL Filter in t...

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

作者： Liu, Xingyu Liu, Yitao Jiang, Shiqi College of Mechatronics and Control Engineering Shenzhen University Shenzhen China School of Electrical Engineering and Automation Harbin Institute of Technology Harbin China

ISBN: (纸本)9798350331820

This paper presents a magnetic integration scheme of LCL filter with symmetrical structure. This magnetic integration scheme uses EIE core to realize the inductor integration of symmetrical LCL filter, and realizes the decoupling and integration of upper and lower E-cores. The effectiveness of the magnetic integrated symmetrical LCL filter is verified by simulation and experiment. A 600 W single-phase SiC high-frequency inverter was used as the experimental platform to give the output current harmonic analysis results and conducted EMI noise. The symmetrical LCL filter with integrated structure not only has good harmonic suppression effect, but also greatly improves EMI suppression ability. The integrated filter is significantly smaller weight, helping to increase system power density. © 2023 IEEE.

关键词： Noise abatement

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On the Trail of West - East Signalling Interoperability: A Novel Proposal for an STM and an Interface Proposal for ETCS Onboard Operations on Class B Trackside Signalling Systems 14

On the Trail of West - East Signalling Interoperability: A N...

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14th International Conference on Electrical and Electronics engineering, ELECO 2023

作者： Çiftcioǧlu, Çaǧla Kivilcim Turan Söylemez, Mehmet Istanbul Technical University Railway Systems Engineering Istanbul Turkey Istanbul Technical University Control and Automation Engineering Department Istanbul Turkey

ISBN: (纸本)9798350360493

ERTMS and ALSN signalling systems are two of the major signalling systems that are under operation in the world. With the introduction of technical specifications for interoperability, ERTMS promises increased passenger and freight attractiveness and seamless cross-border operation. The ERTMS specifications recognise ETCS as a Class A train protection system and other signalling systems in Europe as Class B train protection systems. The specifications further define 'Specific Transmission Modules' (STMs) that enable trains with ETCS onboard to operate in railway lines that are equipped with Class B train protection systems. Although ALSN is classified as a Class B train protection system, ALSN STM is not defined yet. This paper focuses on proposing a novel ALSN STM that enables trains with ETCS onboard to operate in the countries where ALSN trackside is operational. The proposed STM unit is conceptualised as a system architecture, and a new standardised interface is introduced to enable signalling interoperability between ERTMS and ALSN. © 2023 IEEE.

关键词： Interoperability

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Reinforcement Learning Speed control Algorithm Based on Giants Teaching Mechanism for JT9D Low Pressure Shaft 49

Reinforcement Learning Speed Control Algorithm Based on Gian...

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

作者： Xu, Changyi Huo, Mingyu Zhang, Xiaokang School of Control Science and Engineering Dalian University of Technology Dalian China School of Mechatronic Engineering and Automation Shanghai University Shanghai China

ISBN: (纸本)9798350331820

As a benchmark of the aviation industry, JT9D aero engine is a general object to study the new algorithms. controlling the low pressure shaft speed is of great significance to the output power of JT9D. But the traditional PID controller often has overshoot. This kind of 'vibration' is a challenge to the various parts of the sophisticated aero engine. Solving this control problem with the help of reinforcement learning algorithms has become a new research direction. The basic framework of reinforcement learning is to explore a strategy that maximizes the expected reward through the continuous interaction between Agent and Environment. But in the interacting process, the behavior of Agent may be dangerous, especially when the interactive Environment is a complex or sophisticated system, such as aero engine. In order to solve the above problem, inspired by the inheritance and development of knowledge in human society, this paper proposes a reinforcement learning algorithm with giants teaching mechanism. To examine the effectiveness, this paper takes the JT9D aero engine as the Environment to verify the effect on the speed control of the low pressure shaft. And the experiments of Proportion Integral Differential(PID) and Soft Actor-Critic(SAC) algorithms are also studied as a comparison. Experimental results show that our algorithm is more effective in limiting low pressure shaft speed overshoot and avoiding algorithm runaway. © 2023 IEEE.

关键词： Reinforcement learning

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