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A new noise network and gradient parallelisation‐based asynchronous advantage actor‐critic algorithm

IET Cyber-Systems and Robotics 2022年第3期4卷 175-188页

作者： Zhengshun Fei Yanping Wang Jinglong Wang Kangling Liu Bingqiang Huang Ping Tan Provincial Key Institute of Robotics School of Automation and Electrical EngineeringZhejiang University of Science and TechnologyHangzhouChina State Key Lab of Industrial Control Technology College of Control Science and EngineeringZhejiang UniversityHangzhouChina

Asynchronous advantage actor‐critic(A3C)algorithm is a commonly used policy opti-mization algorithm in reinforcement learning,in which asynchronous is parallel inter-active sampling and training,and advantage is a sampling multi‐step reward estimation method for computing *** order to address the problem of low efficiency and insufficient convergence caused by the traditional heuristic exploration of A3C algorithm in reinforcement learning,an improved A3C algorithm is proposed in this *** this algorithm,a noise network function,which updates the noise tensor in an explicit way is constructed to train the *** advantage estimation(GAE)is also adopted to describe the dominance ***,a new mean gradient parallelisation method is designed to update the parameters in both the primary and secondary networks by summing and averaging the gradients passed from all the sub‐processes to the main *** experiments were conducted in a gym environment using the PyTorch Agent Net(PTAN)advanced reinforcement learning library,and the results show that the method enables the agent to complete the learning training faster and its convergence during the training process is *** improved A3C algorithm has a better performance than the original algorithm,which can provide new ideas for sub-sequent research on reinforcement learning algorithms.

关键词： asynchronous advantage actorcritic (A3C) generalised advantage estimation (GAE) parallelisation reinforcement learning

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Fast Consensus of Discrete Multi-Agent Systems with Delay

Fast Consensus of Discrete Multi-Agent Systems with Delay

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2023 China Automation Congress, CAC 2023

作者： Huang, Mengya Yi, Jing-Wen Chai, Li Wuhan University of Science and Technology Engineering Research Center of Metallurgical Automation and Measurement Technology Wuhan430081 China College of Control Science and Engineering State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou310027 China

ISBN: (纸本)9798350303759

This paper studied the fast consensus of discrete multi-agent systems (MASs) with time delay. A consensus protocol incorporating memory information is formulated to accelerate consensus. The necessary and sufficient conditions to reach average consensus are provided. Furthermore, an optimal design of the fast consensus for MASs with small delay is given, and the explicit solutions of the fastest convergence speed and corresponding optimal control gains are deduced. Finally, the theoretical findings are validated through numerical simulations, underscoring the effectiveness of the nronosed annroach. © 2023 IEEE.

关键词： Multi agent systems

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Integration of Bio-Enzyme-Treated Super-Wood and AIE-Based Nonwoven Fabric for Efficient Evaporating the Wastewater with High Concentration of Ammonia Nitrogen

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Nano-Micro Letters 2025年第8期17卷 1-16页

作者： Qian Ding Bingqi Jin Yinxia Zheng Huiru Zhao Jun Wang Haoxuan Li Dong Wang Ben Zhong Tang Engineering Research Center of Technical Textiles Ministry of EducationCollege of Materials Science and EngineeringDonghua UniversityShanghai 201620People’s Republic of China State Key Laboratory of Pollution Control and Resources Reuse School of Environmental Science and EngineeringTongji UniversityShanghai 200092People’s Republic of China Nonwoven Technology Laboratory College of Textile Science and EngineeringJiangnan UniversityWuxi 214122People’s Republic of China Centre for AIE Research Shenzhen Key Laboratory of Polymer Science and TechnologyGuangdong Research Center for Interfacial Engineering of Functional MaterialsCollege of Material Science and EngineeringShenzhen UniversityShenzhen 518061People’s Republic of China School of Science and Engineering Shenzhen Institute of Aggregate Science and TechnologyThe Chinese University of Hong KongShenzhen(CUHK-Shenzhen)Shenzhen 518172People’s Republic of China

The treatment of ammonia nitrogen wastewater(ANW)has garnered significant attention due to the ecology,and even biology is under increasing threat from over discharge *** ANW treatment methods often encounter challenges such as complex processes,high costs and secondary *** progress has been made in employing solar-induced evaporators for wastewater ***,there remain notable barriers to transitioning from fundamental research to practical applications,including insufficient evaporation rates and inadequate resistance to ***,we propose a novel evaporator,which comprises a bio-enzyme-treated wood aerogel that serves as water pumping and storage layer,a cost-effective multi-walled carbon nanotubes coated hydrophobic/hydrophilic fibrous nonwoven mat functioning as photothermal evaporation layer,and aggregation-induced emission(AIE)molecules incorporated as anti-biofouling *** resultant bioinspired evaporator demonstrates a high evaporation rate of 12.83 kg m−2 h−1 when treating simulated ANW containing 30 wt%NH4Cl under 1.0 sun of ***-doped evaporator exhibits remarkable photodynamic antibacterial activity against mildew and bacteria,ensuring outstanding resistance to biofouling over extended periods of wastewater *** enhanced by natural wind under 1.0 sun irradiation,the evaporator achieves an impressive evaporation rate exceeding 20 kg m−2 h−*** advancement represents a promising and viable approach for the effective removal of ammonia nitrogen wastewater.

关键词： Wood aerogel AIE Anti-biofouling Solar-driven interface evaporation Ammonia nitrogen wastewater treatment

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Using kin discrimination to construct synthetic microbial communities of Bacillus subtilis strains impacts the growth of black soldier fly larvae

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Insect science 2024年第6期31卷 1943-1959页

作者： Jun-Hui Zhao Ping Cheng Yi Wang Xun Yan Zhi-Min Xu Dong-Hai Peng Guo-Hui Yu Ming-Wei Shao Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China Ministry of Agriculture and Rural AffairsGuangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and PestsInnovative Institute for Plant HealthCollege of Agriculture and BiologyZhongkai University of Agriculture and EngineeringGuangzhouChina State Key Laboratory of Agricultural Microbiology National Engineering Research Center of Microbial PesticidesCollege of Life Science and TechnologyHuazhong Agricultural UniversityWuhanChina Hubei Hongshan Laboratory WuhanChina College of Resources and Environment Zhongkai University of Agriculture and EngineeringGuangzhouChina

Using synthetic microbial communities to promote host growth is an effective ***,the construction of such communities lacks theoretical *** discrimination is an effective means by which strains can recognize themselves from non-self,and construct competitive microbial communities to produce more secondary ***,the construction of cooperative communities benefits from the widespread use of beneficial *** used kin discrimination to construct synthetic communities(SCs)comprising 13 Bacillus subtilis strains from the surface and gut of black soldier fly(BSF)*** assessed larval growth promotion in a pigeon manure system and found that the synthetic community comprising 4 strains(SC 4)had the most profound *** analyses of these 4 strains revealed that their complementary functional genes underpinned the robust functionality of the cooperative synthetic community,highlighting the importance of strain *** analyzing the bacterial composition of BSF larvae and the pigeon manure substrate,we observed that SC 4 altered the bacterial abundance in both the larval gut and pigeon *** also influenced microbial metabolic functions and co-occurrence network *** discrimination facilitates the rapid construction of synthetic *** positive effects of SC 4 on larval weight gain resulted from the functional redundancy and complementarity among the ***,SC 4 may enhance larval growth by inducing shifts in the bacterial composition of the larval gut and pigeon *** elucidated how the SC promoted larval growth by regulating bacterial composition and provided theoretical guidance for the construction of SCs.

关键词： community construction genomic analysis gut bacteria pigeon manure

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Research on optical properties of human hepatoma cells using terahertz time-domain spectroscopy

Research on optical properties of human hepatoma cells using...

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2023 International Symposium on Ultrafast Phenomena and Terahertz Waves, ISUPTW 2023

作者： Guan, Hanxiao Qiu, Weihang Ma, Yehao Tian, Liangfei Cao, Yuqi Zhang, Guangxin College of Control Science and Engineering Zhejiang University State Key Laboratory of Industrial Control Technology Hangzhou China Zhejiang University College of Biomedical Engineering and Instrument Science Hangzhou China Ningbo University of Technology Robotics Institute Ningbo China

ISBN: (纸本)9798350317473

Terahertz technology is a non-invasive and label-free inspection method, promising for applications in various fields, especially in biomedical diagnosis. Terahertz radiation is capable for cell physiological and pathological status recognition due to its sensitivity to cell composition and structural information of biomacromolecular. In this paper, the transmission properties of glass, polymethyl methacrylate and polypropylene in THz regime were compared and polypropylene was selected as the petri dish material for cell adhesion due to its high transmission of terahertz wave. The time-domain and frequency-domain spectra, refractive index and absorption coefficient of hepatoma cell line Huh7 and normal cell line MIHA were analyzed. The experimental results showed significant distinction between the terahertz characteristic spectra of hepatoma cells and normal cells. This work can be helpful for applying terahertz technology in cancer detection at the cellular level. © 2023 IEEE.

关键词： Terahertz waves

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Novel Multimode Process Soft Sensing Methods Based on the Dynamic Mixture Variational Autoencoder Regression Model 11

Novel Multimode Process Soft Sensing Methods Based on the Dy...

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11th IEEE Data Driven control and Learning Systems Conference, DDCLS 2022

作者： Cui, Linlin Yao, Le Ge, Zhiqiang Song, Zhihuan Institute of Industrial Process Control College of Control Science and Engineering Zhejiang University State Key Laboratory of Industrial Control Technology Hangzhou310027 China

ISBN: (数字)9781665496759

ISBN: (纸本)9781665496759

Modern industrial processes with increasing complexity not only contain nonlinear and multi-mode characteristics, but also are commonly the dynamic processes, which brought challenging problems to soft sensor modeling. In order to solve these problems, a dynamic mixture variational autoencoder regression (DMVAER) model is proposed for the nonlinear multi-mode modeling, which is suitable for industrial process quality prediction with multiple complex process characteristics. Furthermore, in order to deal with the problem of semi-supervised data with a large number of unlabeled samples, a semi-supervised dynamic mixture variational autoencoder regression (ssDMVAER) model is proposed, and the corresponding semi-supervised data sequence division method is adopted to make full use of the information in both labeled data and unlabeled data. Finally, in order to verify the feasibility and effectiveness of the proposed methods, the two models are applied to an actual industrial process of methanation furnace. The results show that the proposed methods have superior soft sensing performance than existing methods. © 2022 IEEE.

关键词： Mixtures

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Learning-Based Predictive control of Switched Nonlinear Systems via Koopman Modeling Approach

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Journal of Systems science & Complexity 2025年第2期38卷 691-716页

作者： NING Zepeng FANG Xu LI Yibei XIE Lihua School of Electrical and Electronic Engineering Nanyang Technological University Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences

This paper proposes a data-driven learning-based approach to predictive control for switched nonlinear systems subject to state and control constraints and external stochastic disturbances. A switched Koopman modeling framework is developed, where a multi-mode neural network for state lifting is trained simultaneously with Koopman operators and state reconstruction matrices for all *** framework facilitates the construction of the switched linear Koopman model in a transformed space and effectively captures the dynamics of the original nonlinear system. A switched predictive control strategy is then designed to regulate the switched Koopman model with constrained states and control inputs against both the stochastic disturbances and the uncertainties introduced by the lifting neural network. The proposed control scheme ensures mean-square stability and guarantees boundedness during the online phase. Furthermore, boundedness analysis is performed to determine the bounded set of the original system state across all admissible switching sequences. The effectiveness of the proposed methodology is demonstrated through a case study of a gene regulatory network.

关键词： Data-driven machine learning model predictive control stochastic systems switched Koopman model switched nonlinear systems

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Cr-containing wastewater treatment based on Cr self-catalysis: a critical review

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Frontiers of Environmental science & engineering 2024年第1期18卷 1-22页

作者： Manshu Zhao Xinhua Wang Shuguang Wang Mingming Gao School of Environmental Science and Engineering Shandong UniversityQingdao 266237China Shandong Key Laboratory of Environmental Processes and Health Shandong UniversityQingdao 266237China Shandong Key Laboratory of Water Pollution Control and Resource Reuse Shandong UniversityQingdao 266237China Weihai Research Institute of Industrial Technology of Shandong University Weihai 264209China

Chromium (Cr), as a transition metal material with multiple redox states, has exhibited the catalysis toward Fenton-like reactions over a wide pH range. Although it is not sensible to add Cr reagents as catalysts due to its toxicity, it is highly promising to remediate Cr-containing wastewater through Cr-initiated advanced oxidation processes (Cr-initiated AOPs), which are clean and low-cost. Moreover, the widely concerned Cr-complexes, considered as obstacles in the remediation process, can be effectively destroyed by AOPs. Cr self-catalysis is defined as Cr species is both substrate and catalyst. However, the full understanding of Cr self-catalysis, including the generation of intermediates Cr(IV)/Cr(V), the synergetic effects with co-existing ions, and the accumulation of toxic Cr(VI), remains a challenge for the practical application of Cr-initiated AOPs. In this review, relevant researches on Cr self-catalysis during Cr-initiated AOPs are summarized. Specifically, the Cr-Fenton-like reaction, Cr substituted materials, and Cr-sulfite reactions are explored as key mechanisms contributing to Cr self-catalysis. Moreover, Cr transformation processes, including synchronously Cr removal, Cr redox reactions, and Cr(VI) accumulation, in AOPs-based synergistic systems are systematically analyzed. Detailed approaches for the detection of active species in AOPs-based systems are also presented. The primary objective of this review is to explore the application of AOPs for Cr-containing wastewater remediation based on Cr self-catalysis, and provide fundamental insights and valuable information for future research on Cr-initiated AOPs.

关键词： Self-catalysis Cr-initiated AOPs Cr transformation Cr intermediates Cr-containing wastewater

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Nonpolar cross-stacked super-aligned carbon nanotube membrane for efficient wastewater treatment

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Frontiers of Environmental science & engineering 2023年第3期17卷 37-47页

作者： Shuang Zhang Shuai Liang Yifan Gao Yang Wu Xia Huang Bejing Key Laboratory for Source Control Technology of Water Pollution College of Environmental Science and EngineeringBeijing Forestry UniversityBeijing 100083China Engineering Research Center for Water Pollution Source Control&Eco-remediation College of Environmental Science and EngineeringBeijing Forestry UniversityBeijing 100083China State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China Department of Physics and Tsinghua-Foxconn Nanotechnology Research Center Tsinghua UniversityBeijing 100084China

Membrane separation technology has made great progress in various practical applications,but the unsatisfactory separation performance of prevailing membrane materials hampers its further sustainable *** study proposed a novel nonpolar super-aligned carbon nanotube(SACNT)membrane,which was prepared with a layer-by-layer cross-stacking *** controlling the number of stacked SACNT layers,three kinds of SACNT membranes(SACNT_200,SACNT 300,and SACNT_400)were *** characterizations and filtration tests were performed to investigate their physico-chemical properties,surface wetting behavior,and filtration *** with two commercial membranes(Com_0.22 and Com_0.45),all the SACNT membranes achieved smoother and more uniform *** to the hexagonal graphene structure of CNTs,the surface chemistry of the SACNT membranes is simple and inert,thereby potentially eliminating the covalent-bonding-induced membrane ***,the SACNT membranes exhibited a typical nonpolar wetting behavior,with high contact angles for polar liquids(water:~124.9°-126.5°;formamide:~80.0°-83.99)but low contact angles for nonpolar diodomethane(~18.8°-20.99).This unique nonpolar feature potentially leads to weak interactions with polar ***,compared with the commercial membranes,the SACNT membranes obtained a significantly higher selectivity while achieving a comparable or higher permeability(depending on the number of stacked layers).Moreover,the SACNT membranes exhibited superior separation performance in various application scenarios,including municipal wastewater treatment(2.3 times higher cleaning efficiency),electro-assistant fouling inhibition(or even self-cleaning),and oil/water separation(>99.2%of separation efficiency),suggesting promising application prospects in various fields.

关键词： Membranefouling Wastewater Membrane separation Antifouling Aligned carbon nanotube

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Synergistic effects of peroxydisulfate on UV/O_(3) process for tetracycline degradation:Mechanism and pathways

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Chinese Chemical Letters 2024年第10期35卷 408-413页

作者： Fengrui Yang Debing Wang Xinying Zhang Jie Zhang Zhichao Wu Qiaoying Wang State Key Laboratory of Pollution Control and Resource Reuse Shanghai Institute of Pollution Control and Ecological SecuritySchool of Environmental Science and EngineeringTongji UniversityShanghai 200092China Fujian Provincial Engineering Research Center of Rural Waste Recycling Technology College of Environment&Safety EngineeringFuzhou University.Fuzhou 350108China

Tetracycline(TC)as a typical emerging pollutant is becoming a serious threat to the environment and human health.A combined advanced oxidation technology of UV/Ozone(O_(3))/peroxydisulfate(PDS)process was developed to explore an efficient and economic treatment process of TC in ***,the reactive sites and transformation pathways of TC were explored and the toxicity of the intermediates was quantified with a quantitative structure-activity relationship(QSAR)*** degradation performance of TC was substantially enhanced in UV/O_(3)/PDS process with a kobsof 0.0949 min-1,which was 2.3 times higher than UV/O_(3)and 3.2 times than sole *** results demonstrated that there was a superior synergistic effect of PDS on UV/O_(3)processes for the degradation of *** paramagnetic resonance(EPR)analysis and quenching experiments show that·OH,SO_(4)·-,O_(2)·-and1O_(2)all contributed to TC degradation in the UV/O_(3)/PDS process and exhibited a synergistic effect,which inhibited the generation of harmful *** addition,the UV/O_(3)/PDS system can effectively degrade TC in a wide range of substrate concentrations and pH,and also showed excellent adaptability to various concentrations of anions(Cl-and HCO_(3)-).This study proves the feasibility of UV/O_(3)/PDS process for treating TC contaminated wastewater with complicated water matrix.

关键词： UV/ozonation/peroxydisulfate Synergistic effect Tetracycline Degradation Wastewater

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