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作者： Wang, Luyao Yang, Rongni Zhang, Huiyan School of Control Science and Engineering Shandong University Jinan China National Research Base of Intelligent Manufacturing Service Chongqing Technology and Business University Chongqing China

This paper is devoted to solving the problem of sliding mode control for discrete-time switched systems with disturbances via an improved event-triggered strategy. First, the switched sliding mode dynamics is obtained based on the pre-designed sliding mode surface. Then, on the basis of the Lyapunov functional technique and the average dwell time approach, sufficient conditions for the existence of the concerned sliding mode dynamics are established. Third, the sliding mode control law is synthesized such that state trajectories of the considered switched system can be driven into the bounded sliding mode region and maintain there subsequently. Moreover, the event-triggered scheme is proposed in close combination with key feature of sliding mode control, which is different from the most existing works. Finally, two examples including a single-link robot arm system are given to show the effectiveness of the proposed design method. © 2021 Chinese Automatic control Society and John Wiley & Sons Australia, Ltd

关键词： Sliding mode control

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Demystifying Molecular Data-driven Detection with Explainable Artificial Intelligence

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IEEE Wireless Communications Letters 2025年

作者： Huang, Yu Luo, Min Huang, Xinyu Wen, Miaowen Chae, Chan-Byoung Guangzhou University Research Center of Intelligent Communication Engineering School of Electronics and Communication Engineering Guangzhou510006 China KTH Royal Institute of Technology Division of Network and Systems Engineering KTH Digital Futures Stockholm10044 Sweden South China University of Technology School of Electronics and Information Engineering Guangzhou510641 China Yonsei University School of Integrated Technology BK21 Seoul03722 Korea Republic of

Molecular communication (MC) is a bio-inspired paradigm for information exchange that leverages the properties of messenger molecules for data transmission. Recognized as a promising physical-layer technique for the Internet of Bio-Nano Things within biological entities, MC facilitates intricate collaboration and networking among micro-scale devices. Data-driven detectors are favored in MC receivers due to their complex and dynamic channel characteristics. The messages of the MC systems are vital, while the recovery process via the data-driven detectors mostly exhibits the black box nature. To address this transparency issue, this letter uses an artificial intelligence tools, SHapley Additive exPlanations (SHAP), to explain the basic principles of data-driven detectors in MC from a systematic perspective. Through this approach, important feature points of the received signals are extracted, which further enhances the detection performance of MC with a reduced need for signal samples, thereby substantiating the role of interpretability in improving the functional capabilities of MC systems. © 2012 IEEE.

关键词： Explainable artificial intelligence feature analysis machine learning molecular communication signal detection

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Identification and quantification of nanoplastics in different crops using pyrolysis gas chromatography-mass spectrometry

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Chemosphere 2024年 354卷 141689页

作者： Ye, Quanyun Wu, Yingxin Liu, Wangrong Ma, Xiaorui He, Dechun Wang, Yuntao Li, Junfei Wu, Wencheng South China Institute of Environmental Sciences Ministry of Ecology and Environment Guangzhou510655 China Guangdong Engineering & Technology Research Center for System Control of Livestock and Poultry Breeding Pollution Guangzhou510655 China

Quantitative studies of nanoplastics (NPs) abundance on agricultural crops are crucial for understanding the environmental impact and potential health risks of NPs. However, the actual extent of NP contamination in different crops remains unclear, and therefore insufficient quantitative data are available for adequate exposure assessments. Herein, a method with nitric acid digestion, multiple organic extraction combined with pyrolysis gas chromatography-mass spectrometry (Py-GC/MS) quantification was used to determine the chemical composition and mass concentration of NPs in different crops (cowpea, flowering cabbage, rutabagas, and chieh-qua). Recoveries of 74.2–109.3% were obtained for different NPs in standard products (N = 6, RSD −1, dry weight (DW)) and PE (101.3−462.9 mg kg−1, DW) NPs were the dominant components in the samples of all four crop species, while high levels of PET (414.3−1430.1 mg kg−1, DW) NPs were detected in cowpea samples. Furthermore, there were notable differences in the accumulation levels of various edible crop parts, such as stems (60.2%) > leaves (39.8%) in flowering cabbage samples and peas (58.8%) > pods (41.2%) in cowpea samples. This study revealed the actual extent of NP contamination in different types of crops and provided crucial reference data for future research. © 2024 Elsevier Ltd

关键词： Crops

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Parallel Building Process Management System

Parallel Building Process Management System

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2021 China Automation Congress, CAC 2021

作者： Liu, Sheng Shen, Zhen Dong, Xisong Hu, Bin Xiong, Gang Chen, Xiaoyu State Key Laboratory for Management and Control of Complex Institute of Automation Chinese Academy of Sciences Beijing China Beijing engineering Research Center of intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Beijing China Institution of Intelligent Manufacturing Qingdao Academy of Intelligent Industries Qingdao China Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing Cloud Computing Center Chinese Academy of Sciences Dongguan China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781665426473

With the development of industrialized building and intelligence technology, it becomes necessary and possible to realize building process intelligence management. In recent years, digital twins and parallel management get more and more attentions in academic research and industrial applications. This paper addresses how parallel building system performs intelligence management on industrialized building process. Firstly, actual building model and artificial building model are created according to actual building system. Then business driving engine and simulation engine drive actual building model and artificial building model, respectively. Participants receive and send messages by software interfaces. Business driving engine changes the status of actual building model and sends the changes to simulation engine. Simulation engine updates the status of artificial building model and runs artificial building model with various parameters. Then it sends the parameter with the best effect to business driving engine. Business driving engine sends recommendations to participants according to the best parameter. Thus, building process intelligence management is achieved. © 2021 IEEE

关键词： Engines

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Integrated System Health Management research and Application on Satellite 12

Integrated System Health Management Research and Application...

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12th IEEE Global Reliability and Prognostics and Health Management, PHM-Nanjing 2021

作者： Xu, Yufei Kong, Xianglong Ma, Wei Zhu, Zhu Zhang, Jianqiao Shanghai Institute Of Satellite Engineering Research Center Shanghai China Harbin Institute Of Technology Dept. Of Control Science And Engineering Harbin China

ISBN: (纸本)9781665401302

Integrated system health management (ISHM) technology is the extension of fault diagnosis and fault tolerant control and also is an important research direction of satellite engineering in the future. The ISHM of satellite, which can support satellite self-sufficient, aims to improve the reliability, safety and economy. In this paper, the overall architecture of the ISHM of on-orbit satellite is firstly constructed, which is divided into several layers, including system-level layer, subsystem layer, reasoning and diagnosis layer and single machine layer. The functions and tasks of each layer are analyzed, and the differences between ISHM and traditional fault diagnosis methods are proposed. Secondly, according to the analysis of history fault data, the subsystems who are prone to fault are studied and the ISHM schemes for these subsystems are designed. Finally, key technologies for achieving ISHM of satellite, such as the use of advanced distributed sensor system, improvement of software and hardware on board, and the application of intelligent algorithms, are illustrated and discussed. © 2021 IEEE.

关键词： Satellites

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Data-Driven Adaptive Dynamic Programming for Nonlinear Systems with State and Input Constraints

Data-Driven Adaptive Dynamic Programming for Nonlinear Syste...

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International Conference on control, Decision and Information Technologies (CoDIT)

作者： Jianfeng Wang Ping Zhang Yan Wang Zhicheng Ji Engineering Research Center of Internet of Things Technology Applications (Ministry of Education) Jiangnan University Wuxi China Institute of Automatic Control University of Kaiserslautern-Landau Kaiserslautern Germany

ISBN: (数字)9798350373974

ISBN: (纸本)9798350373981

In this paper a novel data-driven adaptive dynamic programming approach for nonlinear systems with state and input constraints is developed. The basic idea is to transform state constraints into input constraints by introducing a barrier index function. Then a Q-learning approach is designed to solve the optimal control problem considering only input constraints. After that, a data-driven constrained value iteration approach is developed to obtain the optimal control policy. It is shown that the iterative action-value function converges to the optimal action-value function. Finally, a torsional pendulum system is used to illustrate the proposed approach.

关键词： Adaptive systems Q-learning Simulation Neural networks Optimal control Transforms Dynamic programming Iterative methods Indexes Nonlinear systems

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Modeling and Analysis of Mtj Array with Shielding Layer

SSRN

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SSRN 2023年

作者： Qu, Ying-Hui Xiong, Jing-Ya Zuo, Chao Dong, Kai-Feng Song, Jun-Lei Mo, Wen-Qin Hui, Ya-Juan Jin, Fang School of Automation China University of Geosciences Wuhan430074 China Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Geological Exploration Intelligent Technology Engineering Research Center The Ministry of Education Wuhan Second Ship Design and Research Institute Hubei Province Wuhan China

In STT-MRAM, data is stored in a magnetic tunnel structure (MTJ) containing multiple ferromagnetic layers. Each ferromagnetic layer generates a stray field, which affects the critical switching current, switching time, thermal stability, and the density of the MTJ array. These factors have a direct impact on the performance and storage capacity of STT-MRAM. Previously, we have studied that hexagonal MTJ arrays can improve storage density. However, this improvement also leads to increased intracellular and intercellular stray fields, which in turn affects the device's performance. This paper aims to reduce the intercellular stray field by covering each MTJ unit with a soft magnetic shielding layer and investigates the performance of the MTJ array with a shielding layer. Firstly, a simulation model of a single MTJ stack is built using the simulation software COMSOL. Then, based on modeling the MTJ stack, square and hexagonal MTJ arrays are established. The intercellular magnetic coupling coefficient (Ψ) is quoted, and Ψ=2% is defined as the threshold below which the intercellular magnetic coupling can be considered negligible. The results indicate that the soft magnetic shielding layer can effectively shield the stray field, reducing its impact on MTJ performance. Specifically, a thicker shielding layer with higher magnetic permeability provides better shielding efficacy. However, comparing square and hexagonal MTJ array after magnetic shielding reveals a larger stray field between the hexagonal array. © 2023, The Authors. All rights reserved.

关键词： Ferromagnetic materials

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Heterogeneity of Counter-Diffusional Biofilm Achieved Simultaneous Organic-Fermentation and Nitrogen-Removal of Nitrophenol by Microaeration: Metabolic Pathways and Microbial Ecological Mechanisms

SSRN

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SSRN 2024年

作者： Zhang, Zhuowei Shi, Zhennan Li, Simin Yu, Yin Yang, Yang Zhang, Zhao Xi, Hongbo Song, Yudong Wu, Changyong Zhou, Yuexi Hebei Engineering Research Center for Sewage Treatment and Resource Utilization Hebei Technology Innovation Center of Water Pollution Control and Water Ecological Remediation Hebei University of Engineering Handan056038 China Research Center of Environmental Pollution Control Technology Chinese Research Academy of Environmental Sciences Beijing100012 China National Joint Research Center for Ecological Conservation and High Quality Development of the Yellow River Basin Beijing100012 China College of Chemical and Environmental Engineering China University of Mining & Technology Beijing100083 China The Institute of Seawater Desalination & Multipurpose Utilization MNR Tianjin300192 China

Counter-diffusional biofilm driven by hydrophobic membrane offers opportunities for sustainable environmental remediation. However, how the heterogeneity of counter-diffusional biofilms affects internal redox function, bacterial ecology and metabolic metabolism remains unknown. Addressing this, we herein report a counter-diffusional biofilm coupled with microaeration hydrolysis-acidification system for 2,4-dinitrophenol (2,4-DNP) degradation to explore the role of heterogeneity and reveal the metabolic mechanisms. We achieve a novel 2,4-dinitrophenol (2,4-DNP) degradation pathway with simultaneous organic-fermentation and nitrogen-removal by affiliating counter-diffusional biofilm for enhancing hydrolysis acidification, resulting in 99.54 ± 0.03% removal over 20% higher than the conventional biotreatment processes. The enhanced pathways were nitroreduction, deamination, carboxylation, cleavage, and fermentation, as well as simultaneous nitrification and denitrification. Such an enhancement effect is largely dependent on a more hospitable redox microenvironment with a dissolved oxygen (DO) gradient of 0–0.4 mg/L along cross heterogeneity of counter-diffusional biofilm. Furthermore, reduction-related, nitrogen removal-related, fermentative, and oxidation-related bacteria were dominantly distributed in the outer, middle, and inner layers of the biofilm, respectively, exhibiting redox biostructural stratification along with biofilm depth. Ultimately, a synergistic metabolism between carbon and nitrogen through energy metabolism and electron transfer within the biofilm was revealed, thus generating a synergistic interaction between the functional bacteria at cross heterogeneous stratifications. This study offers novel insights into the role of heterogeneity in biofilm systems, expanding the fundamental understanding of biofilm heterogeneity and microbial interactions and facilitating the application of the counter-diffusional biofilm process for wastewater treatment. © 2

关键词： Biofilms

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Adaptive Backstepping Sliding Mode control for Underwater Glider Trajectory Tracking Based on Nonlinear Disturbance Observer

Adaptive Backstepping Sliding Mode Control for Underwater Gl...

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Chinese Automation Congress (CAC)

作者： Zhenjia Li Weihua Cao Chao Gan Mingming Wen School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China Guangzhou Marine Geological Survey Guangzhou China

An adaptive backstepping dynamic surface sliding mode controller based on nonlinear disturbance observer (NDOABSMC) is designed to track zigzag motion of underwater glider (UG). Firstly, a nonlinear disturbance observer is devised to observe ocean current. Then, the backstepping sliding mode control is used to devise motion attitude controller of UG to ensure that UG can track the target trajectory quickly. Additionally, the stability of UG's control system is analyzed. In the end, the proposed control strategy is compared with other approaches.

关键词：

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Pose Estimation of Moving Vehicles Based on Heuristic Rules for Autonomous Driving

Pose Estimation of Moving Vehicles Based on Heuristic Rules ...

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2022 IEEE International Conference on Robotics and Biomimetics, ROBIO 2022

作者： He, Yuesheng Zhang, Wei Yang, Ming The Department of Automation Shanghai Jiao Tong University Shanghai200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai200240 China Shenzhen Deeproute.ai Co. Ltd China

ISBN: (纸本)9781665481090

Estimating the pose information on moving vehi-cles is one of the most fundamental functions of autonomous driving for detecting and tracking moving objects. The current methods are often based on the prior information of the point cloud distribution, however, the distribution in the actual scene changes dynamically, and is easy not to meet a priori. This paper proposes a 3D pose estimation method based on heuristic rules. In a single frame point cloud, the edge length and edge visibility are used to heuristically screen the candidate orientations established by the convex hull sampling method. On consecutive frame point clouds, tracking heuristics are employed to obtain smoother orientation estimation results. The experimental results on the KITTI dataset and the data from the actual scene of vehicles show that the proposed method reduces the average object-orientation error and improves the accuracy of estimation effectively. © 2022 IEEE.

关键词： Autonomous vehicles

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