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Corrections to “Practical Fixed-Time Consensus Tracking for Multiple Euler–Lagrange Systems With Stochastic Packet Losses and Input/Output Constraints”

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IEEE Systems Journal 2022年第1期16卷 1709-1709页

作者： He Li Cheng-Lin Liu Ya Zhang Yang-Yang Chen Key Laboratory of Advanced Process Control for Light Industry Ministry of Education Institute of Automation Jiangnan University Wuxi China School of Automation Southeast University Nanjing China

In [1], several errors were introduced during the production process, which are corrected here.

关键词： Packet loss

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A Generalized Probabilistic Monitoring Model with Both Randomand Sequential Data

arXiv

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arXiv 2022年

作者： Yu, Wanke Wu, Min Huang, Biao Lu, Chengda The School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China The Department of Chemical and Materials Engineering University of Alberta EdmontonABT6G 2G6 Canada

Many multivariate statistical analysis methods and their corresponding probabilistic counterparts have been adopted to develop process monitoring models in recent decades. However, the insightful connections between them have rarely been studied. In this study, a generalized probabilistic monitoring model (GPMM) is developed with both random and sequential data. Since GPMM can be reduced to various probabilistic linear models under specific restrictions, it is adopted to analyze the connections between different monitoring methods. Using expectation maximization (EM) algorithm, the parameters of GPMM are estimated for both random and sequential cases. Based on the obtained model parameters, statistics are designed for monitoring different aspects of the process system. Besides, the distributions of these statistics are rigorously derived and proved, so that the control limits can be calculated accordingly. After that, contribution analysis methods are presented for identifying faulty variables once the process anomalies are detected. Finally, the equivalence between monitoring models based on classical multivariate methods and their corresponding probabilistic graphic models is further investigated. The conclusions of this study are verified using a numerical example and the Tennessee Eastman (TE) process. Experimental results illustrate that the proposed monitoring statistics are subject to their corresponding distributions, and they are equivalent to statistics in classical deterministic models under specific restrictions. Copyright © 2022, The Authors. All rights reserved.

关键词： process monitoring

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Nanocomposite Substrate-Supported Nanofiltration Membrane for the Efficient Treatment of Rare Earth Wastewater

SSRN

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SSRN 2022年

作者： Wang, Yiwen Jiang, Qinliang Li, Yi Fan, Hua Gui, Shuanglin Xiong, Jihai Luo, Jianquan Institute of Energy Conversion Jiangxi Academy of Sciences Nanchang330096 China Key Laboratory of Poyang Lake Environment and Resource Utilization Ministry of Education School of Resources Environmental & Chemical Engineering Nanchang University Nanchang330031 China Advanced Membranes & Porous Materials Center King Abdullah University of Science and Technology Division of Physical Sciences and Engineering Thuwal 23955-6900 Saudi Arabia State Key Laboratory of Biochemical Engineering Institute of Process Engineering University of Chinese Academy of Sciences Chinese Academy of Sciences Beijing100190 China

Rare earth wastewater is an emerging wastewater featuring high salinity, strong acidity and a complex background with multiple contaminants. A nanofiltration (NF) membrane with better performance is desired to tackle the challenge of rare earth wastewater to reduce its negative impact on the environment. Herein, a novel nanocomposite substrate-supported thin film composite (TFC) NF membrane with good stability and superior separation performance was reported. The inorganic two-dimensional O-MoS2 nanosheets were embedded into the PSf substrate via a nonsolvent-induced phase inversion method. The PSf/O-MoS2 nanocomposite was used as the support for the interfacial polymerization. the pore structure of the substrate shifted from a larger irregular bubble pore structure into a finger-like porous structure when the content of O-MoS2 was 0.06 wt%. As a result, the nanocomposite substrate-supported TFC membrane had a 1.7 times higher water flux and improved salt rejections compared to that of the control membrane. The obtained NF membrane showed excellent separation performance with a high salinity removal efficiency of 95% in treating real rare earth wastewater (diluted 50 times, pH: 2.46). This work also highlights the modification of the substrate by functional nanomaterials could provide versatile ways to improve the separation performance and stability of TFC membranes. © 2022, The Authors. All rights reserved.

关键词： Nanofiltration membranes

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Design,modeling and experiments of broadband tristable galloping piezoelectric energy harvester

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Acta Mechanica Sinica 2020年第3期36卷 592-605页

作者： Junlei Wang Linfeng Geng Shengxi Zhou Zhien Zhang Zhihui Lai Daniil Yurchenko Engineering Research Center of Energy Saving Technology and Equipment of Thermal Energy System Ministry of EducationZhengzhou 450000China School of Aeronautics Northwestern Polytechnical UniversityXi'an 710072China William G.Lowrie Department of Chemical and Biomolecular Engineering The Ohio State UniversityColumbusOH 43210USA Guangdong Provincial Key Laboratory of Micro/Nano Optomechatronics Engineering College of Mechatronics and Control EngineeringShenzhen UniversityShenzhen 518060China Institute of Mechanical Process&Energy EngineeringHeriot-Watt UniversityEdinburgh EH 144ASUK

Galloping based piezoelectric energy harvester is a kind of micro-environmental energy harvesting device based on flowinduced vibrations.A novel tristable galloping-based piezoelectric energy harvester is constructed by introducing a nonlinear magnetic force on the traditional galloping-based piezoelectric energy *** on Euler-Bernoulli beam theory and Kirchhoff’s law,the corresponding aero-electromechanical model is proposed and validated by a series of wind tunnel *** parametric study is performed to analyse the response of the tristable galloping-based piezoelectric energy *** results show that comparing with the galloping-based piezoelectric energy harvester,the mechanism of the tristable galloping-based piezoelectric energy harvester is more *** the increase of a wind speed,the vibration of the bluff body passes through three branches:intra-well oscillations,chaotic oscillations,and inter-well *** threshold wind speed of the presented harvester for efficiently harvesting energy is 1.0 m/s,which is decreased by 33% compared with the galloping-based piezoelectric energy *** maximum output power of the presented harvester is 0.73 mW at 7.0 m/s wind speed,which is increased by 35.3%.Compared with the traditional galloping-based piezoelectric energy harvester,the presented tristable galloping-based piezoelectric energy harvester has a better energy harvesting performance from flow-induced vibrations.

关键词： Energy harvesting Galloping Tristable Flow induced vibrations

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Fuzzy Event-triggered Disturbance Rejection control of Nonlinear Systems

Fuzzy Event-triggered Disturbance Rejection Control of Nonli...

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第31届中国过程控制会议（CPCC 2020）

作者： Peng Cheng Yanyan Yin Yanqing Liu Feng Pan Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) School of Internet of Things Jiangnan University School of Electrical Engineering Computing and Mathematical SciencesCurtin University

In this paper, we describe a novel method for constructing fuzzy based event-triggered disturbance rejection control for nonlinear systems. A new fuzzy event based anti-disturbance controller is designed and a reduced order disturbance observer is constructed. Sufficient conditions for the closed loop system to be asymptotically stable under an H∞ performance index are derived. Based on these conditions, the design of a fuzzy event-triggered state feedback controller is formulated and *** results are presented to demonstrate the correctness and effectiveness of our theoretical findings.

关键词： Fuzzy system Nonlinear systems Event trigger Disturbance rejection Asymptotically stable

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Bipartite Consensus Problem of Harmonic Oscillators Based on Sampled-data

Bipartite Consensus Problem of Harmonic Oscillators Based on...

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第32届中国控制与决策会议

作者： Hang Tian Cheng-Lin Liu Guang-Ye Liu Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Institute of AutomationJiangnan University Shanghai Keliang Information Tech.& Eng.Co. Ltd

This paper is concerned with the bipartite consensus problem of sampled-data coupled harmonic oscillators by predictor factor under the fixed *** with the existing distributed protocol for synchronization in networks of coupled harmonic oscillators based on the sampled-data measurement,we propose a distributed bipartite consensus control protocol in which positive and negative interaction weights *** structurally balanced networks,we improve the convergence rate of the network via predictor *** and sufficient conditions are obtained for the well designed protocol to achieve bipartite consensus by using frequency-domain analysis and matrix ***,examples are shown to validate the convergence conditions.

关键词： Bipartite consensus Sampled-data coupled harmonic oscillators Predictor factor

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Smart process Manufacturing Systems: Deep Integration of Arti cialIntelligence and process Manufacturing

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Engineering 2019年第6期5卷 981-981页

作者： Feng Qian Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and TechnologyShanghai 200237China

In recent years, smart process manufacturing has attracted increasing attention from both academia and industry around the world. Together with academia and industry, various governments have released their strategic plans for smart manufacturing, which has the key aim of realizing the upgrading and transformation of the process industry by means of knowledge-integrated planning, scheduling, and process optimization based on industrial internet of things. However, in order to achieve intelligent, autonomous,and regulated control in process manufacturing systems, the industry must confront many problems—including multi-scale coupling, human–cyber–physical interaction, and multi-objective optimization with strong constraints—from the varying perspectives of intelligent perception, autonomous control, and smart decision-making.

关键词： autonomous smart Together

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Method for coloring night-vision imagery based on multispectral semantic segmentation

Method for coloring night-vision imagery based on multispect...

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2018 Australian and New Zealand control Conference, ANZCC 2018

作者： Zhang, Weiwen Gu, Xiaojing Gu, Xingsheng Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology Shanghai China

ISBN: (纸本)9781538666173

Color night vision can map natural colors to nighttime images of multiple bands (e.g., visible and long-wave infrared (LWIR)). These colors can assist the observers in better and faster understanding images, thus improving their situational awareness and shortening the reaction time. In this paper, we present an effective method combining deep learning and category colors. It utilizes the semantic segmentation for image segmentation first, and then colorize the image according to categories to avoid the same color scheme and unnatural colors. We compare our method with some others quantitatively and qualitatively, such as global colorization by single lookup table, where we show significant improvements. In addition, it can be expanded according to different environments and applications because of the fixed category colors. © 2018 IEEE.

关键词： Color

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Catalytic enhancement of MOF-derived Fe@C catalysts in microwave-assisted co-pyrolysis: synergistic integration with bamboo-based pyrolytic char and microwave carbonization

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Energy 2025年 329卷

作者： Li, Pan Chen, Yasen Chen, Hai Chen, Wei Hu, Junhao Chen, Jiaheng Wang, Peiping Chang, Chun Pang, Shusheng School of Mechanical and Power Engineering State Key Laboratory of Biobased Transport Fuel Technology Zhengzhou University Zhengzhou China Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education Southeast University Nanjing China Hunan Tai Tong Energy Management Co. LTD Changsha China Henan Key Laboratory of Green Manufacturing of Biobased Chemicals Puyang China Department of Chemical and Process Engineering University of Canterbury Christchurch New Zealand

Developing efficient catalysts for microwave-assisted co-pyrolysis of biomass and plastics (BP) is crucial for producing high-value products. This study introduces the design and synthesis of an enhanced Fe@C catalyst using MIL-101(Fe) as the precursor. During precursor preparation, different amounts of bamboo-based pyrolytic char (BC) were incorporated, and both conventional and advanced microwave carbonization techniques were employed to produce the Fe@C catalysts. Simultaneously, various characterization techniques were employed to analyze the physicochemical properties of the catalysts. The catalytic performance of the catalyst was evaluated in the microwave-assisted co-pyrolysis of bamboo and polyethylene, focusing on the distribution of pyrolysis gases and bio-oil products. The results showed that incorporating BC and applying microwave carbonization significantly enhanced the catalyst's selectivity for H2 and aromatic hydrocarbons. Notably, the Fe@C-8BC catalyst achieved the highest H2 content (55.65 vol%) and aromatic hydrocarbon content (28.07 %), with MAHs accounting for 51.8 % of total aromatics. Furthermore, the microwave-carbonized Fe@C catalyst exhibited superior BTEX selectivity, with a BTEX/aromatic ratio of 32.2 %. This study highlights the benefits of integrating BC and advanced microwave carbonization techniques in the preparation of MOF-derived catalysts, providing valuable insights for optimizing co-pyrolysis catalysts and advancing the synthesis of high-value products from waste materials. © 2025

关键词： Aromatization

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Robust static output feedback based ILC design with finite frequency specifications for batch processes with time-varying uncertainties

Robust static output feedback based ILC design with finite f...

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第三十九届中国控制会议

作者： Shoulin Hao Tao Liu Wojciech Paszke Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University ofTechnology Institute of Advanced Control Technology Dalian University of Technology Institute of Automation Electronic and Electrical Engineering University of Zielona Góra

For industrial batch processes with time-varying uncertainties, a robust output feedback based iterative learning control（ILC） design is proposed by introducing finite frequency specifications, based on only the output measurement. The integral of output tracking error in the time domain is incorporated into the ILC updating law to improve the tracking performance from batch to batch. Based on the generalized Kalman-Yakubovich-Popov lemma, robust stability of the resulting closed-loop ILC system along both time and batch directions is analyzed in the repetitive system framework. The corresponding ILC law can be determined from the established tractable linear matrix inequality conditions. Moreover, it is shown that the obtained stability condition can also guarantee the bounded output tracking error and system input in the presence of time-and/or batch-varying uncertainties. An illustrative example from the literature is adopted to demonstrate the effectiveness of the proposed design.

关键词： Batch process time-varying uncertainties iterative learning control output feedback finite frequency range specification

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