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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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Robustness of gross primary production estimation from long-term reconstructed solar-induced chlorophyll fluorescence varies with greenness on a global scale

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Journal of Applied Remote Sensing 2025年第1期19卷

作者： Fu, Lijiang Xia, Qian Tang, Hao Chen, Junqing Tan, Jinglu Guo, Ya Jiangnan University Ministry of Education Key Laboratory of Advanced Process Control for Light Industry Wuxi China Changshu Institute of Technology School of Electrical Engineering and Automation Changshu China University of Missouri Department of Chemical and Biomedical Engineering ColumbiaMO United States

Long-term reconstructed solar-induced chlorophyll fluorescence (SIF) derived from raw gridded SIF has been used for the estimation of gross primary production (GPP), but the robustness of the spatial relationship may vary from location to location. We examined the often-used linear relationship between GPP and SIF in terms of R2 values for varied locations globally using three GPP datasets (FLUXCOM, VPM, PML) and three long-term reconstructed monthly SIF datasets (CSIF, SIF005, and RTSIF). The results show that the R2 value is a concave function of vegetation greenness level (NDVI) on an annual or seasonal basis. The average R2 is over 0.8 in areas where the annual average NDVI is in the range of 0.4 to 0.6, whereas the R2 is much lower where the annual average NDVI is less than 0.2 or greater than 0.8. Prediction of GPP or SIF by three methods from five major environmental variables revealed greater uncertainties in GPP and/or SIF at low or high greenness levels as an apparent cause of the low R2. The results offer useful insights into how global GPP may be effectively estimated from multi-satellite measured SIF. © 2025 Society of Photo-Optical Instrumentation Engineers (SPIE).

关键词： Optical correlation

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Novel Self-assembled Tellurium Nanoparticles And Their Effects In Myoblastoma Cell Line

Journal of Applied Science and Engineering

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Journal of Applied Science and engineering 2025年第11期28卷 2265-2279页

作者： Chithamparam, Pandian Christyraj, Johnson Retnaraj Samuel Selvan Thiagamani, Senthil Muthu Kumar Sriariyanun, Malinee Muthukumaran, Azhaguchamy Department of Biotechnology Kalasalingam Academy of Research and Education Tamil Nadu Krishnankoil India Regeneration and Stem Cell Biology Lab Centre for Molecular and Nanomedical Sciences International Research Centre Sathyabama Institute of Science and Technology Tamil Nadu Chennai600119 India Department of Mechanical Engineering Kalasalingam Academy of Research and Education Anand Nagar Tamil Nadu Krishnankoil626126 India Department of Mechanical Engineering INTI International University Persiaran Perdana BBN Putra Nilai Negeri Sembilan Nilai71800 Malaysia UniversitiTeknologi Malaysia Skudai Johor Johor Bahru81310 Malaysia Biorefinery and Process Automation Engineering Center Department of Chemical and Process Engineering The Sirindhorn International Thai-German Graduate School of Engineering King Mongkut’s University of Technology North Bangkok Bangkok Thailand

Harnessing the distinct features of nanoparticles and nanomaterials for biomedical use has seen remarkable progress in recent years. Tellurium nanoparticles (TeNPs) have attracted attention due to their exceptional properties and potential uses in photoconductivity, nonlinear optics, piezoelectricity, and thermal conductivity applications. This study synthesized TeNPs through a novel heat reduction method using ascorbic acid as a reducing agent, followed by various characterization studies. Functional studies, such as the antibacterial activity, antioxidant activity and cytotoxicity assays, AO/EB staining, and live cell imaging were performed using TeNPs. The various concentrations of TeNPs (5 − 20 µg/ml) result in inhibition zones against *** in the 5-13 mm range and against *** in the 6-12 mm range. The produced TeNPs minimum inhibitory concentration (MIC) demonstrated that these nanoparticles had antibacterial properties against the tested gram-positive and gram-negative bacterial strains. Moreover, TeNPs exhibit strong antioxidant properties and demonstrate high toxicity in C2C12 myoblastoma cells. Notably, at a concentration of 5 µg/ml, TeNPs exhibit potential toxicity. Live cell imaging and cell proliferation assay with high and lower concentrations of TeNPs retards cell growth and proliferation of C2C12 myoblastoma cells compared to control. Based on the results, due to the increased toxicity nature of TeNPs, lower concentrations below 5 µg might be used in scaffolds to enhance cell proliferation for regenerative medicine and tissue engineering applications. © The Author(’s).

关键词： Cell proliferation

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Individual-based modelling (IbM) in food microbiology: A comprehensive guideline

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Food Research International 2025年 213卷

作者： Wang, Jian Hashem, Ihab Bhonsale, Satyajeet Verheyen, Davy Luo, Huabin Van Impe, Jan F.M. BioTeC+ Chemical and Biochemical Process Technology and Control Department of Chemical Engineering KU Leuven Ghent Belgium

Individual-based modelling (IbM) presents opportunities to help us understand the dynamics of the food microbial ecosystem. Yet, IbM is generally perceived as a difficult and specialized modelling tool that is not fully fledged for food microbiology—particularly in terms of scalability, computational efficiency, and ease of integration with existing models. This guideline aims to demystify IbM and demonstrate its practical applications in food microbiology. We present a structured 5D protocol (Define, Dissect, Develop, Deploy, and Demonstrate) to guide the design and implementation of IbM. To support practical adoption, we provide a detailed case study that simulates the growth of an E. coli K-12 MG1655 monolayer colony in a homogeneous gel medium under aerobic conditions. A review of existing IbM toolkits is also included to highlight their relevance and application in modelling food-related microbial dynamics. © 2025

关键词： Bacteria

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A classification AI model to predict choking of vibrating screen based on DEM and machine learning

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Powder technology 2025年 460卷

作者： Arifuzzaman, S.M. Dong, Kejun Zou, Ruiping Yu, Aibing Centre for Infrastructure Engineering School of Engineering Design and Built Environment Western Sydney University NSW2751 Australia ARC Research Hub for Smart Process Design and Control Department of Chemical Engineering Monash University ClaytonVIC3800 Australia

Screening is a complicated process for classifying granular materials according to size. Choking is a vital issue in screening. It may occur when the particle flow along a screen is too slow, but slow particle flow and long residence time are beneficial to sieving performance. Therefore, a model to judge whether choking happens is useful for finding optimal operating conditions. Here, a classification model to predict screen choking is proposed by combining DEM simulation and machine learning. The model can consider various key controlling variables for particle properties and operating conditions. Using the model, safe operation condition regions without choking can be identified. Then, combining the model with our previous machine learning based process model, we can design a screening process with the desired performance. The work also shows a way of using machine learning to predict critical phenomena in particle flow. © 2025 The Authors

关键词： Consolidation

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CFD-DEM study of heat transfer and particle dissolution in stirred tanks

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chemical engineering Science 2025年 315卷

作者： Wang, Yide Li, Zhengquan Li, Kaixuan Zhang, Boqun Chen, Huimin Zhou, Qiang Zhou, Zongyan Jiangxi Provincial Key Laboratory of Particle Technology Jiangxi University of Science and Technology Ganzhou341000 China School of Chemical Engineering and Technology Xi'an Jiaotong University Xi'an710049 China ARC Research Hub for Smart Process Design and Control Department of Chemical and Biological Engineering Monash University MelbourneVIC3800 Australia

The CFD-DEM method combined with the Noyes-Whitney dissolution control equation was used to study the effects of fluid–solid heat transfer on particle dissolution within a stirred tank. The model's simulation accuracy for particle size and solute concentration has been validated in a published paper. To further validate the model's ability to simulate heat transfer, a fluidized bed experiment was incorporated, and the error of average particle temperature change was only 1.03%. Then the effects of different initial fluid temperatures and various particle sizes on heat transfer and dissolution mass transfer was studied. Results indicate that a higher initial fluid temperature leads to a faster temperature increase and a higher dissolution rate of particles. However, as particles dissolve and their temperature continues to rise, the heat transfer efficiency between the fluid and particles decrease. Smaller particles, with a larger specific surface area, achieve faster mass transfer rates and higher heat transfer efficiency. © 2025 Elsevier Ltd

关键词： Electric heating

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Numerical analysis of liquid flow in ironmaking blast furnace (BF) and its impact on BF performance

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Powder technology 2025年 462卷

作者： Liu, Yancong Jiao, Lulu Kuang, Shibo Yu, Aibing ARC Research Hub for Smart Process Design and Control Department of Chemical and Biological Engineering Monash University ClaytonVIC3800 Australia School of Metallurgical and Ecological Engineering University of Science and Technology Beijing Beijing100083 China

Various types of iron ores used in the blast furnace (BF) ironmaking process lead to different properties of the liquid flowing through the coke bed in the lower part, significantly influencing BF performance. This paper presents a numerical study of BF operations under different liquid conditions using a CFD process model. In this model, the force balance model that describes the liquid flow is modified to consider liquid viscosity and coke particle size explicitly. Using the model, the effects of different liquid viscosities corresponding to various iron ores are mainly studied based on a 5000-m3 industrial BF. These effects are also analyzed at various coke sizes. The numerical results show that as the liquid viscosity rises, the pressure drop first decreases and then increases, potentially leading to operation instability at high viscosities. These opposite trends of pressure drop result from the combined effects of increased liquid holdup and a thinned cohesive zone (CZ). Additionally, a higher liquid viscosity reduces the liquid temperature due to reduced solid-liquid heat transfer efficiency. The interaction between coke size and liquid viscosity complicates the above behavior, mainly through the influences on CZ thickness, liquid holdup, and solid-liquid heat transfer. This work provides insights to highlight the significance of liquid inside BF. © 2024

关键词： Iron analysis

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Multi-objective optimization of hydrocyclones inlet configurations for improving separation performance

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Powder technology 2025年 456卷

作者： E, Dianyu Hu, Hongwei Ye, Qing Tan, Cong Cui, Jiaxin Zhou, Zongyan Zou, Ruiping Yu, Aibing Kuang, Shibo Jiangxi Provincial Key Laboratory of Particle Technology Jiangxi University of Science and Technology Nanchang330013 China Research Centre for Intelligent Mineral Processing & Metallurgy International Institute for Innovation Jiangxi University of Science and Technology Nanchang330013 China ARC Research Hub for Smart Process Design and Control Department of Chemical and Biological Engineering Monash University VIC3800 Australia

Novel hydrocyclone inlet designs can improve the specific performance objectives, however, the overall performance improvement, comprehensively considering multiple key objectives, is not clearly investigated yet. This study proposes an integrated optimization approach that combines response surface methodology (RSM) and multi-objective optimization (MOO) to optimize four key performance objectives for a traditional inlet (TI) and two novel designs: the tangent circle inlet (TCI) and the tapered spiral inlet (TSI). The well validated RSM establishes the relationship between inlet variables and objectives. The MOO method generates the Pareto-optimal set to capture the trade-offs among these objectives and identifies the optimal solution for overall separation performance. Results indicate that each inlet type is optimally suitable for different separation scenarios: TSI prioritizes separation performance over energy consumption, TCI maintains moderate separation performance and energy consumption, and TI minimizes energy consumption with compromises in separation performance. This study offers valuable insights into hydrocyclones optimization. © 2025

关键词： Multiobjective optimization

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Numerical modelling of the hydrogen production from biomass and supercritical water and the scale-up criterion

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International Journal of Hydrogen Energy 2025年 139卷 11-24页

作者： Shaoli Ma Liuyimei Yang Yinghui Wu Qijun Zheng School of Rare Earths University of Science and Technology of China Hefei 230026 China Ganjiang Innovation Academy Chinese Academy of Sciences Ganzhou 341100 China ARC Research Hub for Smart Process Design and Control Department of Chemical and Biological Engineering Monash University Clayton Victoria 3800 Australia Department of Mechanical and Aerospace Engineering Monash University Clayton Vic 3800 Australia

The supercritical water fluidized bed is widely used for hydrogen production from gasified biomass. This paper utilizes a two-fluid model (TFM) to simulate the thermochemical process of biomass in the supercritical water fluidized bed, focusing on evaluating the validity of different scaling-up laws for the studied reactor. The H 2 yields of the glucose-xylose-guaiacol reaction system scaled up with the simplified dimensionless parameter set are 12.36 %, 13.57 %, and 24.27 % higher than those of the glucose reaction system scaled up with the simplified dimensionless parameter set, and 11.4 %, 13.88 % and 24.13 % higher than those of the glucose reaction system scaled up with the viscosity-limited dimensionless parameter set, respectively. For a supercritical water fluidized bed reactor, the dimensionless parameters < Re s , Fr = (u 0 ) 2 /(gL 0 ) , ρ s /ρ f , u 0 /u mf , L 1 /L 2 and Φ > are essential for scale-up of the reactor, particularly the gas-solid density ratio and solids Reynolds number. It is also demonstrated that the volumetric fraction of bubbles plays a significant role in enhancing the mass transfer between different phases and can effectively promote the H 2 yield by approximately 0.5 mol/kg. The turbulence intensity of the supercritical water exerts a mild influence on the H 2 yield.

关键词： Diffusion in liquids

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Discrete-time Formation control With Attitude Alignment: A Geometric Approach under Ergodic Products

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IEEE Transactions on control of Network Systems 2025年

作者： Li, Zhen Tang, Yang Zhang, Wenbing Fan, Yongqing Huang, Tingwen Xi-an University of Posts and Telecommunications School of Automation Xian710121 China East China University of Science and Technology Key Laboratory of Smart Manufacturing in Energy Chemical Process Shanghai200237 China Yangzhou University Department of Mathematics Jiangsu225002 China Shenzhen University of Advanced Technology Faculty of Computer Science and Control Engineering Shenzhen518055 China

Assuming agents possess sensing capabilities and dynamics relative to their body coordinate frames, this paper addresses a displacement-based strategy for discrete-time formation control through attitude synchronization. Unlike the Eulerian approximation, the first challenge lies in developing discrete-time models that capture both position and attitude motions, thereby complementing existing continuous-time systems with a discretized version. Then, two leader-following control protocols are designed, incorporating a jointly-connected topology to relax the connectivity requirements. The analysis of these systems often relies on the Lyapunov function, the existence of which may be hard to guarantee. Consequently, geometric properties of several polytopes are explored under the dynamic topologies and time-varying parameters. By extending the ergodicity results to leader-following scenarios, these properties are characterized as positively invariant sets. This invariance, which is independent of the existence of the Lyapunov function or the solvability of its associated criteria, provides a beneficial tool for analyzing time-variant systems. Utilizing this invariance and some mathematical techniques, the desired formation shape can be achieved in the cases where the attitudes of the followers synchronize with the leader. Finally, a numerical simulation validates the results. © 2014 IEEE.

关键词： Lyapunov functions

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