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Sensors and Actuators B: Chemical 2025年 442卷

作者： Myoungsu Chae Ikgeun Kwon Doowon Lee Ibtisam Ahmad Mohsin Ali Taegi Kim Yuseong Jang Chanmin Hwang Sanggyu Bang Taehee Lee Dae-un Sung Kyung-woo Lee Hee-Dong Kim Department of Semiconductor Systems Engineering and Convergence Engineering for Intelligent Drone Institute of Semiconductor and System IC Sejong University 209 Neungdong-ro Gwangjin-gu Seoul 05006 South Korea Institute of Industrial Science Department of Electrical Engineering University of Tokyo 4-6-1 Komaba Meguro City Tokyo 153-8505 Japan Division of Electrical Electronic and Control Engineering Kongju National University Cheonan 31080 South Korea Vehicle Performance Degradation Research Lab Hyundai Motor Company 150 Hyundaiyeonguso-ro Namyang-eup Hwaseong-si Gyeonggi-do 18280 South Korea

Robust response to NO 2 gas on SnO 2 heater/CNT gas sensor structures

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Sensors and Actuators B: Chemical 2025年 442卷

Nitrogen dioxide (NO 2 ) is a harmful air pollutant, which is primarily emitted from vehicle exhausts and industrial processes, and it poses significant health risks. This study presents a reliable solution for the detection of NO₂ by integrating a transparent carbon nanotube (CNT) gas sensor with an SnO 2 -based memristor heater (MH). First, the heating capabilities and gas sensitivity of the SnO 2 -based MH are evaluated at varying thicknesses (100–200 nm) to optimize performance. The findings of the study indicate that the 175 nm SnO 2 -based MH exhibited the highest sensitivity, which included a 40.69 % response at 20 ppm and a 19.42 % response at 0.5 ppm. Furthermore, SnO 2 demonstrates superior thermal stability and reduced variability compared to conventional ZnO-based MH, which guarantees a consistent performance for 50 cycles. These results underscore the potential of SnO 2 -based MH for next-generation gas sensors, which provide improved sensitivity, durability, and reliability for industrial safety applications.

关键词： Carbon nanotube Durability Memristor heater Nitrogen dioxide SnO2

Force and state-feedback control for robots with non-collocated environmental and actuator forces

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arXiv 2020年

作者： Donaire, Alejandro Villani, Luigi Ficuciello, Fanny Tomassini, Juan Siciliano, Bruno School of Engineering University of Newcastle 2308 CallaghanNSW Australia PRISMA Lab Department of Electrical Engineering and Information Technology University of Naples Federico II Naples80125 Italy Lab of Automation and Control School of Electronic Engineering National University of Rosario RosarioS2000EKE Argentina

In this paper, we present an impedance control design for multi-variable linear and nonlinear robotic systems. The control design considers force and state feedback to improve the performance of the closed loop. Simultaneous feedback of forces and states allows the controller for an extra degree of freedom to approximate the desired impedance port behaviour. A numerical analysis is used to demonstrate the desired impedance closed-loop behaviour. Copyright © 2020, The Authors. All rights reserved.

关键词： State feedback

Stochastic event-based sensor schedules for remote state estimation in cognitive radio sensor networks

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arXiv 2020年

作者： Huang, Lingying Wang, Jiazheng Kung, Enoch Mo, Yilin Wu, Junfeng Shi, Ling Department of Electronic and Computer Engineering Hong Kong University of Science Technology Clear Water Bay Kowloon Hong Kong Department of Mathematics University College London London Greater London United Kingdom Department of Automation and BNRist Tsinghua University Beijing China College of Control Science and Engineering Zhejiang University Hangzhou China

—We consider the problem of communication allocation for remote state estimation in a cognitive radio sensor network (CRSN). A sensor collects measurements of a physical plant, and transmits the data to a remote estimator as a secondary user (SU) in the shared network. The existence of the primal users (PUs) brings exogenous uncertainties into the transmission scheduling process, and how to design an event-based scheduling scheme considering these uncertainties has not been addressed in the literature. In this work, we start from the formulation of a discrete-time remote estimation process in the CRSN, and then analyze the hidden information contained in the absence of data transmission. In order to achieve a better tradeoff between estimation performance and communication consumption, we propose both open-loop and closed-loop schedules using the hidden information under a Bayesian setting. The open-loop schedule does not rely on any feedback signal but only works for stable plants. For unstable plants, a closed-loop schedule is designed based on feedback signals. The parameter design problems in both schedules are efficiently solved by convex programming. Numerical simulations are included to illustrate the theoretical results. Copyright © 2020, The Authors. All rights reserved.

关键词： Mean square error

Learning of long-horizon sparse-reward robotic manipulator tasks with base controllers

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arXiv 2020年

作者： Wang, Guangming Xin, Minjian Wu, Wenhua Liu, Zhe Wang, Hesheng 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 Shanghai200240 China Department of Computer Science and Engineering University of California San Diego La Jolla CA92093 United States Department of Computer Science and Technology University of Cambridge CambridgeCB2 1TN United Kingdom

Deep Reinforcement Learning (DRL) enables robots to perform some intelligent tasks end-to-end. However, there are still many challenges for long-horizon sparse-reward robotic manipulator tasks. On the one hand, a sparse-reward setting causes exploration inefficient. On the other hand, exploration using physical robots is of high cost and unsafe. In this paper, we propose a method of learning long-horizon sparse-reward tasks utilizing one or more existing traditional controllers named base controllers in this paper. Built upon Deep Deterministic Policy Gradients (DDPG), our algorithm incorporates the existing base controllers into stages of exploration, value learning, and policy update. Furthermore, we present a straightforward way of synthesizing different base controllers to integrate their strengths. Through experiments ranging from stacking blocks to cups, it is demonstrated that the learned state-based or image-based policies steadily outperform base controllers. Compared to previous works of learning from demonstrations, our method improves sample efficiency by orders of magnitude and improves the performance. Overall, our method bears the potential of leveraging existing industrial robot manipulation systems to build more flexible and intelligent controllers. Copyright © 2020, The Authors. All rights reserved.

关键词： Deep learning

A Novel Line Feature Description and Matching Method for Visual-Aided Inertial Navigation system

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A Novel Line Feature Description and Matching Method for Vis...

2019 3rd International Conference on Artificial Intelligence, automation and control Technologies (AIACT 2019)

作者： Xingxing Guang Yanbin Gao Pan Liu Guangchun Li College of Automation Harbin Engineering University Department of Electrical and Computer Engineering University of Calgary Beijing Institute of Control and Electronic Technology

With the rapid development of machine vision technology, more and more attention has been paid to the visual-aided inertial navigation system. It is important that to extract and track the line features at the dynamic situation in the visual-aided inertial navigation system which is based on visual line feature information to compensate attitude errors. A novel line feature description is proposed that use the SURF points to mark the LSD lines. Then, through coarse matching and fine matching, the function of continuously tracking the one line features in different images was realized. These line feature description and tracking method are applied in the visual-aided inertial navigation system, and its effectiveness is verified by the vehicle experiment.

关键词：

Strong Neel ordering and luminescence correlation in a two-dimensional antiferromagnet

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arXiv 2022年

作者： Zhou, Yongheng He, Kaiyue Hu, Huamin Ouyang, Gang Zhu, Chao Wang, Wei Qin, Sichen Tao, Ye Chen, Runfeng Zhang, Le Shi, Run Cheng, Chun Wang, Han Liu, Yanjun Liu, Zheng Wang, Taihong Huang, Wei Wang, Lin Chen, Xiaolong Department of Electrical and Electronic Engineering Southern University of Science and Technology Shenzhen518055 China 30 South Puzhu Road Nanjing211816 China Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education Key Laboratory for Matter Microstructure and Function of Hunan Province Hunan Normal University Changsha410081 China SEU-FEI Nano-Pico Center Key Laboratory of MEMS of Ministry of Education Collaborative Innovation Center for Micro/Nano Fabrication Device and System Southeast University Nanjing210096 China School of Materials Science and Engineering Nanyang Technological University Singapore639798 Singapore 127 West Youyi Road Xi'An710072 China Nanjing University of Posts & Telecommunications 9 Wenyuan Road Nanjing210023 China Department of Materials Science and Engineering Southern University of Science and Technology Shenzhen518055 China

Magneto-optical effect has been widely used in light modulation, optical sensing and information storage. Recently discovered two-dimensional (2D) van der Waals layered magnets are considered as promising platforms for investigating novel magneto-optical phenomena and devices, due to the long-range magnetic ordering down to atomically-thin thickness, rich species and tunable properties. However, majority 2D antiferromagnets suffer from low luminescence efficiency which hinders their magneto-optical investigations and applications. Here, we uncover strong light-magnetic ordering interactions in 2D antiferromagnetic MnPS3 utilizing a newly-emerged near-infrared photoluminescence (PL) mode far below its intrinsic bandgap. This ingap PL mode shows strong correlation with the Neel ordering and persists down to monolayer thickness. Combining the DFT, STEM and XPS, we illustrate the origin of the PL mode and its correlation with Neel ordering, which can be attributed to the oxygen ion-mediated states. Moreover, the PL strength can be further tuned and enhanced using ultraviolet-ozone treatment. Our studies offer an effective approach to investigate light-magnetic ordering interactions in 2D antiferromagnetic semiconductors. © 2022, CC BY-NC-SA.

关键词： Manganese compounds

Low Power CMOS Thermal and Tamper Sensor for Smart Cards Protection 20

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Low Power CMOS Thermal and Tamper Sensor for Smart Cards Pro...

20th International Conference on Electromagnetics in Advanced Applications, ICEAA 2018

作者： Cartagena, Luis Q Barbin, Silvio E Department of Electronic System Engineering and Telecommunications and Control Engineering Polytechnic School of the University of Sao Paulo Brazil

ISBN: (纸本)9781538667620

In this paper, we present a new design of a tamper resistance and a temperature sensor protection in Smart Cards to prevent both, physical and security attacks in the corners of their operating temperature range. Physical attacks are used for reverse engineering and temperature attacks normally result in malfunctions in the smart card processor, allowing the access to extra information. The purpose of this design is the protection of the chip of smart cards in a temperature range of -20 °C to 120 °C, and tamper resistance with a small area and low power consumption circuit. The sensor and tamper resistance were designed in Cadence using the system on a Chip (SoC) concept, employing a standard 90 nm CMOS technology that operates on a power supply voltage of 1.2 V. The obtained results show effective protection at the corners of the -40 °C to 140 °C temperature range and Vdd = 1.2 V 10%. This new circuit design can effectively work as an excellent protector against security manipulation of Smart Cards. © 2018 IEEE.

关键词： Smart cards

Real-time trajectory generation for quadrotors using b-spline based non-uniform kinodynamic search

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arXiv 2019年

作者： Tang, Lvbang Wang, Hesheng Li, Peng Wang, Yong Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Beijing Institute of Control Engineering

In this paper, we propose a time-efficient approach to generate safe, smooth and dynamically feasible trajectories for quadrotors in the obstacle-cluttered environment. By using the uniform B-spline to represent trajectories, we transform the trajectory planning to a graph-search problem of B-spline control points in discretized space. Highly strict convex hull property of B-spline is derived to guarantee the dynamical feasibility of the entire trajectory. A novel non-uniform kinodynamic search strategy is adopted, and the step length is dynamically adjusted during the search process according to the Euclidean signed distance field (ESDF), making the trajectory achieve reasonable time-allocation and be away from obstacles. Nonstatic initial and goal states are allowed, therefore it can be used for online local replanning as well as global planning. Extensive simulation and hardware experiments show that our method achieves higher performance compared with the state-of-the-art method. Copyright © 2019, The Authors. All rights reserved.

关键词： Trajectories

State of charge estimation of parallel connected battery cells via descriptor system theory

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arXiv 2020年

作者： Zhang, Dong Couto, Luis D. Benjamin, Sebastien Zeng, Wente Coutinho, Daniel F. Moura, Scott J. Department of Civil and Environmental Engineering University of California BerkeleyCA United States Department of Control Engineering and System Analysis Université Libre de Bruxelles BrusselsB-1050 Belgium Saft Batteries Total S.A. Total S.A. Department of Automation and Systems UFSC PO BOX 476 88040-900 Florianópolis SC Brazil

— This manuscript presents an algorithm for individual Lithium-ion (Li-ion) battery cell state of charge (SOC) estimation when multiple cells are connected in parallel, using only terminal voltage and total current measurements. For battery packs consisting of thousands of cells, it is desirable to estimate individual SOCs by only monitoring the total current in order to reduce sensing cost. Mathematically, series connected cells yield dynamics given by ordinary differential equations under classical full voltage sensing. In contrast, parallel connected cells are evidently more challenging because the dynamics are governed by a nonlinear descriptor system, including differential equations and algebraic equations arising from voltage and current balance across cells. An observer with linear output error injection is formulated, where the individual cell SOCs and local currents are locally observable from the total current and voltage measurements. The asymptotic convergence of differential and algebraic states is established by considering local Lipschitz continuity property of system nonlinearities. Simulation results on LiNiMnCoO2/Graphite (NMC) cells illustrate convergence for SOCs, local currents, and terminal voltage. Copyright © 2020, The Authors. All rights reserved.

关键词： Nonlinear equations