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Observer-based stabilization for discrete nonlinear semi-Markov jump singularly perturbed models with mode-switching delay

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Science China(Information Sciences) 2025年第4期68卷 389-390页

作者： Wenhai QI Runkun LI Ju H.PARK Zheng-Guang WU Huaicheng YAN School of Engineering Qufu Normal University Department of Electrical Engineering Yeungnam University Institute of Cyber-Systems and Control Zhejiang University Key Laboratory of Smart Manufacturing in Energy Chemical Process of Ministry of Education East China University of Science and Technology

Semi-Markov jump systems(S-MJMs) not only characterize hybrid systems but also address the limitations of Markov jump systems(MJMs) [1–3]. Due to their ability to exhibit multi-time-scale features, singularly perturbed models(SPMs) effectively model practical systems influenced by multiple time-scale phenomena [4]. In this study, the observer-based output feedback controller is asynchronous with the original system due to the time delay in the controller mode switching. A nonlinear plant with singularly perturbed parameters(SPPs) is represented using an interval type-2(IT2) fuzzy model [5].

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Rational surface charge engineering of haloalkane dehalogenase for boosting the enzymatic performance in organic solvent solutions

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Chinese Journal of chemical engineering 2024年第1期65卷 276-285页

作者： Yin Wu Yan Sun Department of Biochemical Engineering School of Chemical Engineering and Technology and Key Laboratory of Systems Bioengineering and Frontiers Science Center for Synthetic Biology(Ministry of Education)Tianjin UniversityTianjin 300350China

Biocatalysis in organic solvents(OSs)has numerous important applications,but native enzymes in OSs often exhibit limited catalytic ***,we proposed a computation-aided surface charge engineering strategy to improve the catalytic performance of haloalkane dehalogenase DhaA in OSs based on the energetic analysis of substrate binding to the DhaA *** variants with enhanced OS resistance were obtained by replacing negative charged residues on the surface with positive charged residue(Arg).Particularly,a four-substitution variant E16R/E93R/E121R/E257R exhibited the best catalytic performance(five-fold improvement in OS resistance and seven-fold half-life increase in 40%(vol)dimethylsulfoxide).As a result,the overall catalytic performance of the variant could be at least 26 times higher than the wild-type *** spectroscopy and molecular dynamics simulation studies revealed that the residue substitution mainly enhanced OS resistance from four aspects:(a)improved the overall structural stability,(b)increased the hydrophobicity of the local microenvironment around the catalytic triad,(c)enriched the hydrophobic substrate around the enzyme molecule,and(d)lowered the contact frequency between OS molecules and the catalytic *** findings validate that computationaided surface charge engineering is an effective and ingenious rational strategy for tailoring enzyme performance in OSs.

关键词： Surface charge engineering Organic solvent resistance Molecular dynamics simulation Haloalkane dehalogenase

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Micro-nano-fabrication of green functional materials by multiphase microfluidics for environmental and energy applications

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Green Energy & Environment 2024年第8期9卷 1199-1219页

作者： Cheng Qi Tao Zhou Xingjiang Wu Kailang Liu Lei Li Zhou Liu Zhuo Chen Jianhong Xu Tiantian Kong Guangdong Provincial Key Laboratory of Micro/Nano Optomechatronics Engineering College of Mechatronics and Control EngineeringShenzhen UniversityShenzhenGuangdong518000China The State Key Laboratory of Chemical Engineering Department of Chemical EngineeringTsinghua UniversityBeijing100084China College of Chemistry and Environmental Engineering Shenzhen UniversityShenzhenGuangdong518000China Department of Biomedical Engineering School of MedicineShenzhen UniversityShenzhenGuangdong518000China

Multiphase microfluidic has emerged as a powerful platform to produce novel materials with tailor-designed functionalities,as microfluidic fabrication provides precise controls over the size,component,and structure of resultant ***,functional materials with well-defined micro-/nanostructures fabricated by microfluidics find important applications as environmental and energy *** review first illustrated in detail how different structures or shapes of droplet and jet templates are formed by typical configurations of microfluidic channel networks and multiphase flow ***,recent progresses on several representative energy and environmental applications,such as water purification,water collecting and energy storage,were ***,it is envisioned that integrating microfluidics and other novel materials will play increasing important role in contributing environmental remediation and energy storage in near future.

关键词： Microfluidics Multi-phase flow Droplet and microfiber Environmental remediation Energy Storage

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Modeling and assessment of the techno-economic analysis of biogas and its potential for the generation of electricity from water hyacinth biomass

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Journal of engineering and Applied Science 2024年第1期71卷 98页

作者： Asante, Enoch Asiedu, Nana Yaw Sarpong, Samuel Agyemang, Emmanuel Okoh Ajani, Ibrahim Ntiamoah, Augustine Adjaottor, Albert Amatey Addo, Ahmad Renewable Energy Systems Engineering Department Koforidua Technical University Eastern Region Koforidua Ghana Chemical Engineering Department Faculty of Mechanical and Chemical Engineering College of Engineering Kwame Nkrumah University of Science and Technology Kumasi Ghana Mechanical Engineering Department Faculty of Engineering Koforidua Technical University Eastern Region Koforidua Ghana Materials Engineering Department Faculty of Mechanical and Chemical Engineering College of Engineering Kwame Nkrumah University of Science and Technology Kumasi Ghana Department of Agricultural and Biosystems Engineering Faculty of Mechanical and Chemical Engineering College of Engineering Kwame Nkrumah University of Science and Technology Kumasi Ghana

The study presents the economic feasibility assessment of converting the produced biogas from water hyacinth biomass into electricity. Approximately, 0.3793 m3CH4/kgVS was generated from the water hyacinth biomass. The research indicated that the available water hyacinth population on the Lower Volta River in the year 2020 could potentially generate a methane yield of 53.676 × 106m3. The volume of methane gas generated had the potential to produce an annual electricity output of 110.792 × 106 kWh, which could be integrated into the national grid. The economic analysis indicated positive results with an initial total investment cost of $67,273,700. The project showed a positive net present value (NPV) of $8,923,769 and a levelized cost of 0.172 $/kWh. The simple payback and equity payback periods were determined to be 5.5 and 11.3 years, respectively. Furthermore, a sensitivity analysis conducted showed that the project’s NPV remained positive when variations in input parameters such as initial cost, operations, and maintenance cost were less than 15% sensitive range. However, a 30% reduction in the feed-in tariff cost resulted in a negative NPV. In conclusion, biogas production from water hyacinth biomass in Ghana can make a significant contribution to the country’s energy mix and help alleviate the energy shortfall in rural areas. © The Author(s) 2024.

关键词： Sensitivity analysis

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Joint Fuel-optimal control of the Velocity and Power-split of Hybrid Electric Vehicles

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on Intelligent Vehicles 2024年第9期9卷 1-12页

作者： Borsboom, Olaf Salazar, Mauro Keulen, Thijs van Control Systems Technology section Department of Mechanical Engineering Eindhoven University of Technology Eindhoven MB The Netherlands

This paper explores the eco-driving problem of parallel hybrid electric vehicles, intended to drive a certain distance within a limited amount of time, where the longitudinal vehicle velocity and powertrain controls are optimized to minimize the fuel consumption. In particular, we incorporate Pontryagin's Minimum Principle (PMP) and singular control theory in an optimization framework to find the fuel-optimal velocity and power-split control policy for the prime mover and the electric machine with global optimality guarantees. In addition, we present reformulations and derivations, so that the same problem can be solved jointly using another framework based on convex optimization, with the same global optimality properties, employing methods originally derived for timeoptimal control of race cars. Thereby, we formally show the equivalence between the eco-driving and the racing problem. We showcase both our frameworks with numerical solutions, drawing three comparisons: First, we solve the velocity and power-split problem, both sequentially and jointly, using the PMP framework. We show that the latter can improve the fuel consumption by 2.6 %. Second, we benchmark the PMP and the convex framework by solving the joint problem with both methods and observe a discrepancy of 0.14% in terms of the resulting fuel energy consumption. Finally, in a numerical study addressing the performance of both methods individually, we observe that the efficiency of the PMP and the convex framework are strongly dependent on the stopping criteria and the discretization step size, respectively. Authors

关键词： Convex optimization

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Energy and Exergy Analysis of Pyramid-Type Solar Still Coupled with Magnetic and Electrical Effects by Using Matlab Simulation

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Frontiers in Heat and Mass Transfer 2024年第1期22卷 217-262页

作者： Karrar A.Hammoodi Hayder A.Dhahad Wissam H.Alawee Z.M.Omara Air Conditioning Engineering Department Faculty of EngineeringWarith Al-Anbiyaa UniversityBaghdadIraq Mechanical Engineering Department University of TechnologyBaghdadIraq Control and Systems Engineering Department University of TechnologyBaghdadIraq Mechanical Engineering Department Faculty of EngineeringKafrelsheikh UniversityKafrelsheikhEgypt

In the face of an escalating global water crisis,countries worldwide grapple with the crippling effects of scarcity,jeopardizing economic progress and hindering societal *** energy emerges as a beacon of hope,offering a sustainable and environmentally friendly solution to *** distillation technology,harnessing the power of the sun,transforms seawater into freshwater,expanding the availability of this precious *** solar still performance under specific climatic conditions and evaluating different configurations is crucial for practical implementation and widespread adoption of solar *** this study,we conducted theoretical investigations on three distinct solar still configurations to evaluate their performance under Baghdad’s climatic *** solar stills analyzed include the passive solar still,themodified solar still coupled with a magnetic field,and themodified solar still coupled with bothmagnetic and electrical *** results proved that the evaporation heat transfer coefficient peaked at 14:00,reaching 25.05 W/m^(2).℃for the convention pyramid solar still(CPSS),32.33 W/m^(2).℃for the magnetic pyramid solar still(MPSS),and 40.98 W/m^(2).℃for elecro-magnetic pyramid solar still(EMPSS),highlighting their efficiency in converting solar energy to ***,exergy efficiency remained notably lower,at 1.6%,5.31%,and 7.93%for the three still types,even as energy efficiency reached its maximum of 18.6%at 14:00 with a corresponding peak evaporative heat of 162.4 W/m^(2).

关键词： Pyramid solar still solar desalination energy and exergy analysis innovative solar still technique theoretical study Matlab

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ELCD-NSC2: a novel early lung cancer detection and non-small cell classification framework

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Neural Computing and Applications 2024年第24期36卷 15149-15164页

作者： Helaly, Hadeer A. Badawy, Mahmoud El-Gendy, Eman M. Haikal, Amira Y. Electrical Engineering Department Faculty of Engineering Damietta University Damietta Egypt Computers and Control Systems Engineering Department Faculty of Engineering Mansoura University Mansoura Egypt Department of Computer Science and Informatics Taibah University Medina Saudi Arabia

The survival rate of lung cancer relies significantly on how far the disease has spread when it is detected, how it reacts to the treatment, the patient’s overall health, and other factors. Therefore, the earlier the lung cancer diagnosis, the higher the survival rate. For radiologists, recognizing malignant lung nodules from computed tomography (CT) scans is a challenging and time-consuming process. As a result, computer-aided diagnosis (CAD) systems have been suggested to alleviate these burdens. Deep-learning approaches have demonstrated remarkable results in recent years, surpassing traditional methods in different fields. Researchers are currently experimenting with several deep-learning strategies to increase the effectiveness of CAD systems in lung cancer detection with CT. This work proposes a deep-learning framework for detecting and diagnosing lung cancer. The proposed framework used recent deep-learning techniques in all its layers. The autoencoder technique structure is tuned and used in the preprocessing stage to denoise and reconstruct the medical lung cancer dataset. Besides, it depends on the transfer learning pre-trained models to make multi-classification among different lung cancer cases such as benign, adenocarcinoma, and squamous cell carcinoma. The proposed model provides high performance while recognizing and differentiating between two types of datasets, including biopsy and CT scans. The Cancer Imaging Archive and Kaggle datasets are utilized to train and test the proposed model. The empirical results show that the proposed framework performs well according to various performance metrics. According to accuracy, precision, recall, F1-score, and AUC metrics, it achieves 99.60, 99.61, 99.62, 99.70, and 99.75%, respectively. Also, it depicts 0.0028, 0.0026, and 0.0507 in mean absolute error, mean squared error, and root mean square error metrics. Furthermore, it helps physicians effectively diagnose lung cancer in its early stages and allows spe

关键词： Image classification

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Coalition formation problem: a capability-centric analysis and general model

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Science China(Information Sciences) 2024年第11期67卷 180-193页

作者： Jie CHEN Miao GUO Bin XIN Qing WANG Shengyu LU Yipeng WANG Yulong DING School of Automation Beijing Institute of Technology National Key Lab of Autonomous Intelligent Unmanned Systems Department of Control Science and Engineering Tongji University

Coalition formation(CF) refers to reasonably organizing robots and/or humans to form coalitions that can satisfy mission requirements, attracting more and more attention in many fields such as multirobot collaboration and human-robot collaboration. However, the analysis on CF problems remains *** provide a valuable study reference for researchers interested in CF, this paper proposed a capabilitycentric analysis of the CF problem. The key problem elements of CF are firstly extracted by referencing the concepts of the 5W1H method. That is, objects(who) form coalitions(what) to accomplish missions(why) by aggregating capabilities(how) in a specific environment(where-when). Then, a multi-view analysis of these elements and their correlation in terms of capabilities is proposed through various logic diagrams, structure charts, etc. Finally, to facilitate a deeper understanding of capability-centric CF, a general mathematical model is constructed, demonstrating how the different concepts discussed in this analysis contribute to the overall model.

关键词： coalition formation capability aggregation capability metric mission requirement environmental effect

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Routes to optimum conditions of plant based microbial fuel cells by reinforcement learning

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International Journal of Hydrogen Energy 2024年 142卷 813-824页

作者： Tapan, N. Alper Günay, M. Erdem Gürbüz, Tuğba Department of Chemical Engineering Gazi University Maltepe-Ankara06570 Turkey Department of Energy Systems Engineering Istanbul Bilgi University Eyupsultan-Istanbul34060 Turkey

Plant-based microbial fuel cells (PMFC) are fascinating technologies that have the potential to combine plants and bacteria to produce electricity from different solid and aqueous media like constructed wetlands and wastewater treatment facilities. Although PMFCs are evolving and demonstrating promising performance results for the development of sustainable energy and water treatment, they have not reached their full potential due to issues with continuous bioenergy generation and fuel cell system optimization through plant selection, operating conditions, electrodes, and light source, all of which are critical for optimum microbial activity on the roots and exudate rhizodeposition. In light of this, the Q learning algorithm was used in this study to determine the routes that lead to the best operating and material conditions for PMFCs. A database of 231 observations from 51 recent publications with 271 descriptors (input variables) and 3 output variables (under 9 categories were used to determine the routes leading to high maximum power density, medium open circuit potential and current density. It was seen that high maximum power density routes are achievable through the nodes of stainless-steel mesh cathode with metal-based chitosan smart catalysts, bicarbonate wastewater, and anaerobic wetland sediment. Data visualizations by radar charts also exhibited similar results for cathode material and wastewater type. For medium open circuit potential, Iris pseudacorus and for medium maximum current density anaerobic sludge inoculation and steel wire mesh/nickel current collectors are found to be important indicators. © 2024 Hydrogen Energy Publications LLC

关键词： Microbial fuel cells

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Time-Varying Formation Tracking control of Heterogeneous Multi-Agent systems With Intermittent Communications and Directed Switching Networks

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IEEE/CAA Journal of Automatica Sinica 2025年第1期12卷 294-296页

作者： Yuhan Wang Zhuping Wang Hao Zhang Huaicheng Yan the Shanghai Research Institute for Intelligent Autonomous Systems Tongji University the National Key Laboratory of Autonomous Intelligent Unmanned Systems the Frontiers Science Center for Intelligent Autonomous System of Ministry of Education the College of Electronic and Information Engineering the Department of Control Science and Engineering Tongji University the Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education the School of Information Science and Engineering East China University of Science and Technology

Dear Editor,This letter is concerned with the problem of time-varying formation tracking for heterogeneous multi-agent systems(MASs) under directed switching networks. For this purpose, our first step is to present so... 详细信息

关键词： Switches Topology Observers Formation control Event detection Switched systems Multi-agent systems control theory Autonomous systems Stability

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