Mathematics and Computers in Simulation最新文献_第3页

Well-posedness and decay of the energy of the viscoelastic porous elastic system with dual phase-lag model

IF 4.4 2区数学

Mathematics and Computers in Simulation Pub Date : 2025-03-10 DOI: 10.1016/j.matcom.2025.03.002

Teng Wang, Jun Zhou

引用次数: 0

A spectral method for dispersive solutions of the nonlocal Sine–Gordon equation

IF 4.4 2区数学

Mathematics and Computers in Simulation Pub Date : 2025-03-08 DOI: 10.1016/j.matcom.2025.02.028

A. Coclite , L. Lopez , S.F. Pellegrino

引用次数: 0

Stability analysis and optimal control of SEAIQR infectious disease model with nonlinear treatment term based on BA scale-free network

IF 4.4 2区数学

Mathematics and Computers in Simulation Pub Date : 2025-03-08 DOI: 10.1016/j.matcom.2025.03.001

Leimin Wang , Jian Shen , Xiaofang Hu , Guodong Zhang , Genping Wu

{"title":"Stability analysis and optimal control of SEAIQR infectious disease model with nonlinear treatment term based on BA scale-free network","authors":"Leimin Wang , Jian Shen , Xiaofang Hu , Guodong Zhang , Genping Wu","doi":"10.1016/j.matcom.2025.03.001","DOIUrl":"10.1016/j.matcom.2025.03.001","url":null,"abstract":"<div><div>The primary approaches to curbing the dissemination of epidemics include vaccination of susceptible individuals, quarantine and complementary cure of infected individuals. To better understand the impact of the above control measures on epidemics and develop optimal control strategies to save medical resources, this paper develops a susceptible-exposed-asymptomatic infected-symptomatic infected-quarantined-recovered (SEAIQR) model with nonlinear treatment term on a BA scale-free network. The process of solving basic reproduction number of SEAIQR model is simplified through the theory of complex networks. It is proven that the global stability of the two equilibrium points is obtained by the construction of Lyapunov functions. Furthermore, we regard the three measures of vaccination for susceptible populations, quarantine for asymptomatic populations and symptomatic populations as control of bounded time-varying inputs. The Pontryagin’s Minimum Principle allows to obtain solutions of optimal control. Finally, the simulations demonstrate that the seven control strategies are superior under the developed SEAIQR model. Our proposal achieves a balance between the cost of controlling infectious diseases and the scale of infection, which will be of immense benefit in the development of control strategies for infectious diseases.</div></div>","PeriodicalId":49856,"journal":{"name":"Mathematics and Computers in Simulation","volume":"234 ","pages":"Pages 248-261"},"PeriodicalIF":4.4,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143600588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Trajectory tracking considering model uncertainty with interconnection and damping assignment passivity-based control for electro-hydraulic servo systems

IF 4.4 2区数学

Mathematics and Computers in Simulation Pub Date : 2025-03-06 DOI: 10.1016/j.matcom.2025.02.027

Junjie Gong , Jian Chen , Dengsheng Cai , Haibo Xie , Wei Wei , Yu Long

{"title":"Trajectory tracking considering model uncertainty with interconnection and damping assignment passivity-based control for electro-hydraulic servo systems","authors":"Junjie Gong , Jian Chen , Dengsheng Cai , Haibo Xie , Wei Wei , Yu Long","doi":"10.1016/j.matcom.2025.02.027","DOIUrl":"10.1016/j.matcom.2025.02.027","url":null,"abstract":"<div><div>In this paper, a novel dual closed-loop control framework is proposed for trajectory tracking of electro-hydraulic servo systems, utilizing interconnection and damping assignment passivity-based control alongside a finite-time extended state observer. First, a finite-time approach, coupled with an extended state observer, is employed to estimate system model uncertainties and stochastic disturbances, achieving fast finite-time uniformly ultimately bounded stability of observation errors. Second, the nonlinear state–space model is converted into a port-controlled Hamiltonian system with disturbances. Energy shaping and damping injection methods are then applied to transform the port-controlled Hamiltonian model into the desired closed-loop system. Subsequently, the cascade characteristics of the electro-hydraulic servo system are leveraged to establish virtual inputs, facilitating the development of a dual closed-loop interconnection and damping assignment passivity-based controller. The inner-loop controller utilizes spool displacement as an input to mitigate the effects of external disturbances and enhance single-loop control performance, thereby increasing robustness against model uncertainties and external disturbances. Finally, numerical simulations validate the effectiveness and performance of the proposed control strategy in the context of trajectory tracking control for the electro-hydraulic servo system. Compared with FLSMC-MPC and Backstepping-MPC, the proposed controller improve the tracking accuracy by 61.6% and 12.4%, and the velocity tracking performance by 75.7% and 34.2%, respectively.</div></div>","PeriodicalId":49856,"journal":{"name":"Mathematics and Computers in Simulation","volume":"234 ","pages":"Pages 194-218"},"PeriodicalIF":4.4,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143577956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Solving the permutation flow shop scheduling problem with sequence-dependent setup time via iterative greedy algorithm and imitation learning

IF 4.4 2区数学

Mathematics and Computers in Simulation Pub Date : 2025-03-05 DOI: 10.1016/j.matcom.2025.02.026

Zhao-sheng Du , Jun-qing Li , Hao-nan Song , Kai-zhou Gao , Ying Xu , Jia-ke Li , Zhi-xin Zheng

{"title":"Solving the permutation flow shop scheduling problem with sequence-dependent setup time via iterative greedy algorithm and imitation learning","authors":"Zhao-sheng Du , Jun-qing Li , Hao-nan Song , Kai-zhou Gao , Ying Xu , Jia-ke Li , Zhi-xin Zheng","doi":"10.1016/j.matcom.2025.02.026","DOIUrl":"10.1016/j.matcom.2025.02.026","url":null,"abstract":"<div><div>In recent years, the application of learning-based methods in flow shop scheduling problem has gained considerable attention. However, there are gaps in the quality of their solution due to the difficulty of fully exploring the huge search space faced by learning-based methods and the difficulty of reward function design. In this paper, a hybrid approach of meta-heuristic algorithm and imitation learning (IL) is proposed to solve the permutation flow shop scheduling problem with sequence-dependent setup times (PFSP-SDST). Firstly, jobs are treated as nodes, and the processing time and setup times of PFSP-SDST are considered as features of the nodes, respectively. Secondly, a graph neural network based on an attention feature fusion (AFF) mechanism is designed as an encoder to embed the feature information of the problem. Finally, an iterative greedy algorithm based on critical path is proposed to provide high-quality expert solutions for the IL algorithm. The running results on randomly generated datasets and benchmark datasets demonstrate the effectiveness of the proposed method.</div></div>","PeriodicalId":49856,"journal":{"name":"Mathematics and Computers in Simulation","volume":"234 ","pages":"Pages 169-193"},"PeriodicalIF":4.4,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143577955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modified maximum likelihood approach in uncertain regression analysis and application to factors analysis of urban air quality

IF 4.4 2区数学

Mathematics and Computers in Simulation Pub Date : 2025-03-05 DOI: 10.1016/j.matcom.2025.02.025

Yang Liu , Zhongfeng Qin

{"title":"Modified maximum likelihood approach in uncertain regression analysis and application to factors analysis of urban air quality","authors":"Yang Liu , Zhongfeng Qin","doi":"10.1016/j.matcom.2025.02.025","DOIUrl":"10.1016/j.matcom.2025.02.025","url":null,"abstract":"<div><div>Uncertain regression analysis is an indispensable field in statistics, and it conducts in-depth research on data sets under uncertain environments based on regression models to predict and explain the relationship between variables. However, when the data set is affected by outliers, the existing research methods will no longer be effective. In order to eliminate the influence of outliers on the accuracy of uncertain regression model fitting and prediction, this paper estimates the unknown parameters and disturbance term in the uncertain regression model based on a modified maximum likelihood idea, and provides a numerical algorithm to solve the specific estimator. Subsequently, two numerical examples are also provided to illustrate the modified maximum likelihood approach proposed in this paper and its effectiveness compared with the existing maximum likelihood method. Finally, this paper applies the proposed approach to the factor analysis of Shenzhen’s air quality, and successfully reveals the key factors affecting Shenzhen’s air quality, which provides a scientific basis for the subsequent management strategy.</div></div>","PeriodicalId":49856,"journal":{"name":"Mathematics and Computers in Simulation","volume":"234 ","pages":"Pages 219-234"},"PeriodicalIF":4.4,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143577957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Parameter estimation study of temporal fractional HIV/AIDS transmission model with fractal dimensions using real data in India

IF 4.4 2区数学

Mathematics and Computers in Simulation Pub Date : 2025-03-03 DOI: 10.1016/j.matcom.2025.02.011

Lalchand Verma , Ramakanta Meher , Darshak P. Pandya

引用次数: 0

Aging modeling and lifetime prediction of a proton exchange membrane fuel cell using an extended Kalman filter

IF 4.4 2区数学

Mathematics and Computers in Simulation Pub Date : 2025-03-01 DOI: 10.1016/j.matcom.2025.02.022

Serigne Daouda Pene , Antoine Picot , Fabrice Gamboa , Nicolas Savy , Christophe Turpin , Amine Jaafar

引用次数: 0

Dynamic analysis of a Solow–Swan model with capital-induced labor migration

IF 4.4 2区数学

Mathematics and Computers in Simulation Pub Date : 2025-02-28 DOI: 10.1016/j.matcom.2025.02.021

Chunru Li , Xuesong Yuan , Yu Gong

引用次数: 0

Patterns in soil organic carbon dynamics: Integrating microbial activity, chemotaxis and data-driven approaches

IF 4.4 2区数学

Mathematics and Computers in Simulation Pub Date : 2025-02-28 DOI: 10.1016/j.matcom.2025.02.019

Angela Monti , Fasma Diele , Deborah Lacitignola , Carmela Marangi

{"title":"Patterns in soil organic carbon dynamics: Integrating microbial activity, chemotaxis and data-driven approaches","authors":"Angela Monti , Fasma Diele , Deborah Lacitignola , Carmela Marangi","doi":"10.1016/j.matcom.2025.02.019","DOIUrl":"10.1016/j.matcom.2025.02.019","url":null,"abstract":"<div><div>Models of soil organic carbon (SOC) frequently overlook the effects of spatial dimensions and microbiological activities. In this paper, we focus on two reaction–diffusion chemotaxis models for SOC dynamics, both supporting chemotaxis-driven instability and exhibiting a variety of spatial patterns as stripes, spots and hexagons when the microbial chemotactic sensitivity is above a critical threshold. We use symplectic techniques to numerically approximate chemotaxis-driven spatial patterns and explore the effectiveness of the piecewise Dynamic Mode Decomposition (pDMD) to reconstruct them. Moreover, we analyse the predictive performance of the pDMD for moderate time horizons. Our findings show that pDMD is effective at precisely recreating and predicting chemotaxis-driven spatial patterns, therefore broadening the range of application of the method to classes of solutions different than Turing patterns. By validating its efficacy across a wider range of models, this research lays the groundwork for applying pDMD to experimental spatiotemporal data, advancing predictions crucial for soil microbial ecology and agricultural sustainability.</div></div>","PeriodicalId":49856,"journal":{"name":"Mathematics and Computers in Simulation","volume":"234 ","pages":"Pages 86-101"},"PeriodicalIF":4.4,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0