Results in Control and Optimization最新文献_第10页

Modeling environmental-born melioidosis dynamics with recurrence: An application of optimal control 建立具有复发性的环境源性瓜虫病动态模型：最优控制的应用

Results in Control and Optimization Pub Date : 2024-09-01 DOI: 10.1016/j.rico.2024.100476

Habtamu Ayalew Engida

{"title":"Modeling environmental-born melioidosis dynamics with recurrence: An application of optimal control","authors":"Habtamu Ayalew Engida","doi":"10.1016/j.rico.2024.100476","DOIUrl":"10.1016/j.rico.2024.100476","url":null,"abstract":"<div><p>Melioidosis is a significant health problem in tropical and subtropical regions, especially in Southeast Asia and Northern Australia. Recurrent melioidosis is a major obstacle to eliminating the disease from the community in these nations. This work aims to propose and analyze a human melioidosis model with recurrent phenomena and an optimal control model by incorporating time-dependent control functions. The basic reproduction number (<span><math><msub><mrow><mi>R</mi></mrow><mrow><mn>0</mn></mrow></msub></math></span>) of the uncontrolled model is derived using the method of the next-generation matrix. Using the construction of a Lyapunov functional, we present the global asymptotic dynamics of the autonomous model in the presence of recurrent for both disease-free and endemic equilibria. The global asymptotic stability of the model’s equilibria shows the absence of a backward bifurcation for the model in both cases, whether in the absence or presence of relapse. The sensitivity analysis aims to identify the parameters that have the most significant impact on the model’s dynamics. Furthermore, qualitative analysis of the model’s global dynamics and the changing effect of the most influential parameters on <span><math><msub><mrow><mi>R</mi></mrow><mrow><mn>0</mn></mrow></msub></math></span> are supported by numerical experiments, with the results being illustrated graphically. The model with time-dependent controls is analyzed using optimal control theory to assess the impact of various intervention strategies on the spread of the epidemic. The numerical results of the optimality system are carried out using the Forward–Backward Sweep method in Matlab. We also conducted a cost-effectiveness analysis using two approaches: the average cost-effectiveness ratio and the incremental cost-effectiveness ratio.</p></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"16 ","pages":"Article 100476"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666720724001061/pdfft?md5=3a1739690f36be9f1d8d661f3f1d8756&pid=1-s2.0-S2666720724001061-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142241687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Relative controllability for ψ−Caputo fractional delay control system ψ-卡普托分数延迟控制系统的相对可控性

Results in Control and Optimization Pub Date : 2024-09-01 DOI: 10.1016/j.rico.2024.100475

K. Muthuvel , K. Kaliraj , Kottakkaran Sooppy Nisar , V. Vijayakumar

引用次数: 0

Dynamical behavior of a fractional-order epidemic model for investigating two fear effect functions 用于研究两种恐惧效应函数的分数阶流行病模型的动力学行为

Results in Control and Optimization Pub Date : 2024-09-01 DOI: 10.1016/j.rico.2024.100474

Ashraf Adnan Thirthar , Hamadjam Abboubakar , Abdesslem Lamrani Alaoui , Kottakkaran Sooppy Nisar

{"title":"Dynamical behavior of a fractional-order epidemic model for investigating two fear effect functions","authors":"Ashraf Adnan Thirthar , Hamadjam Abboubakar , Abdesslem Lamrani Alaoui , Kottakkaran Sooppy Nisar","doi":"10.1016/j.rico.2024.100474","DOIUrl":"10.1016/j.rico.2024.100474","url":null,"abstract":"<div><p>Using the Caputo operator, a model for a fractional-order epidemic is developed to investigate the fear effect in a pathogenic environment and vaccination procedure. First, we examine if the proposed model is positive. Next, based on the value of the control reproduction number <span><math><msub><mrow><mi>R</mi></mrow><mrow><mi>c</mi></mrow></msub></math></span>, we compute both the control reproduction and strength numbers and derive the stability criteria of the disease-free equilibrium. In fact, we use the comparison theorem to show that the disease-free equilibrium point is globally asymptotically stable whenever <span><math><mrow><msub><mrow><mi>R</mi></mrow><mrow><mi>c</mi></mrow></msub><mo><</mo><mn>1</mn></mrow></math></span>. Next, we prove that the solutions of the fractional model exist and are unique. Finally, several numerical simulations are conducted to verify our theoretical results.</p></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"16 ","pages":"Article 100474"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666720724001048/pdfft?md5=2e1312393ea930e860c919ebd5854fce&pid=1-s2.0-S2666720724001048-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142241684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Improving derivative-free optimization algorithms through an adaptive sampling procedure 通过自适应采样程序改进无导数优化算法

Results in Control and Optimization Pub Date : 2024-08-20 DOI: 10.1016/j.rico.2024.100460

Emmanouil Karantoumanis, Nikolaos Ploskas

{"title":"Improving derivative-free optimization algorithms through an adaptive sampling procedure","authors":"Emmanouil Karantoumanis, Nikolaos Ploskas","doi":"10.1016/j.rico.2024.100460","DOIUrl":"10.1016/j.rico.2024.100460","url":null,"abstract":"<div><p>Black-box optimization plays a pivotal role in addressing complex real-world problems where the underlying mathematical model is unknown or expensive to evaluate. In this context, this work presents a method to enhance the performance of derivative-free optimization algorithms by integrating an adaptive sampling process. The proposed methodology aims to overcome the limitations of traditional methods by intelligently guiding the search towards promising regions of the search space. To achieve this, we utilize machine learning models, which effectively substitute first principles models. Furthermore, we employ the error maximization approach to steer the exploration towards areas where the surrogate model deviates significantly from the true model. Moreover, we involve a heuristic method, an adaptive sampling procedure, that repeats calls to a widely-used derivative-free optimization algorithm, SNOBFIT, allowing for the creation of new and improved surrogate models. To evaluate the efficiency of the proposed method, we conduct a comparative analysis across a benchmark set of 776 continuous problems. Our findings indicate that our approach successfully solved 93% of the problems. Notably, for larger problems, our method outperformed the standard SNOBFIT algorithm by achieving a 19% increase in problem-solving rate, and when, we introduced an additional termination criterion to enhance computational efficiency, the proposed method achieved a 31% time reduction compared to SNOBFIT.</p></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"16 ","pages":"Article 100460"},"PeriodicalIF":0.0,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666720724000900/pdfft?md5=a5ebaf507a55902356b0db914dacff66&pid=1-s2.0-S2666720724000900-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142050186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Untangling the memory and inhibitory effects on SIS-epidemic model with Beddington–DeAngelis infection rate 解开贝丁顿-德安吉利斯感染率对 SIS 流行模型的记忆和抑制作用

Results in Control and Optimization Pub Date : 2024-08-10 DOI: 10.1016/j.rico.2024.100458

Emli Rahmi , Nursanti Anggriani , Hasan S. Panigoro , Edi Cahyono , Olumuyiwa James Peter

{"title":"Untangling the memory and inhibitory effects on SIS-epidemic model with Beddington–DeAngelis infection rate","authors":"Emli Rahmi , Nursanti Anggriani , Hasan S. Panigoro , Edi Cahyono , Olumuyiwa James Peter","doi":"10.1016/j.rico.2024.100458","DOIUrl":"10.1016/j.rico.2024.100458","url":null,"abstract":"<div><p>The dynamical behaviors of an epidemic model based on the susceptible–infected–susceptible (SIS) model are investigated. The Beddington–DeAngelis functional response is used for the infection rate to present the dependence of the transmission of the infection on the ratio of both susceptible and infected populations. A Caputo fractional derivative is applied to show the existence of memory in nature affects population dynamics. The disease-free and endemic equilibrium points are obtained as the equilibrium points that describe the condition when the population is free from the disease or the disease exists in the population throughout time. The existence, uniqueness, non-negativity, and boundedness are proven which state the biological validity of the mathematical model. The local and global stability of each equilibrium point is studied including the basic reproduction number and its influence on the dynamical behaviors. Some numerical simulations are portrayed to explore more about the dynamics of the model which are relevant to the analytical findings. The partial rank correlation coefficient is presented to investigate the dominant parameter with respect to the basic reproduction number and the density of susceptible and infected populations. The parameter continuations are demonstrated to show the impact of infection rate and the inhibitory effect which lead to the occurrence of forward bifurcations. The memory effect is also demonstrated numerically to show the changes in convergence rate due to the changes in memory strength.</p></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"16 ","pages":"Article 100458"},"PeriodicalIF":0.0,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666720724000882/pdfft?md5=04630b8418033ad695756132fb8bf5eb&pid=1-s2.0-S2666720724000882-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141998068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

UAV networks DoS attacks detection using artificial intelligence based on weighted machine learning 利用基于加权机器学习的人工智能检测无人机网络 DoS 攻击

Results in Control and Optimization Pub Date : 2024-08-10 DOI: 10.1016/j.rico.2024.100457

Orkhan Valikhanli

{"title":"UAV networks DoS attacks detection using artificial intelligence based on weighted machine learning","authors":"Orkhan Valikhanli","doi":"10.1016/j.rico.2024.100457","DOIUrl":"10.1016/j.rico.2024.100457","url":null,"abstract":"<div><p>While Unmanned Aerial Vehicles (UAVs) have found applications across numerous industries, they still remain vulnerable to various cybersecurity challenges. Different types of cyberattacks target UAVs. Early detection of these cyberattacks is considered the most important step in ensuring the cybersecurity of UAVs. In this article, an artificial intelligence method based on machine learning was developed for detecting different types of Denial of Service (DoS) attacks targeting the UAV network. Initially in this work, feature selection methods are implemented to select the most important features. Then, machine learning methods are used to classify attacks. According to the conducted experiments, the proposed method outperformed others with an accuracy of 99.51 % and a prediction time of 0.1 s. Additionally, a novel dataset is used in this work, which offers several advantages. The dataset was created within a real-world environment rather than a simulated one. Furthermore, the data were collected within a 5G network.</p></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"16 ","pages":"Article 100457"},"PeriodicalIF":0.0,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666720724000870/pdfft?md5=fc4b8d8d57e3191efe8092b998a8d438&pid=1-s2.0-S2666720724000870-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142012811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Stability analysis of a SIQR epidemic compartmental model with saturated incidence rate, vaccination and elimination strategies 具有饱和发病率、疫苗接种和消除策略的 SIQR 流行病分区模型的稳定性分析

Results in Control and Optimization Pub Date : 2024-08-10 DOI: 10.1016/j.rico.2024.100459

Monika Badole , Ramakant Bhardwaj , Rohini Joshi , Pulak Konar

{"title":"Stability analysis of a SIQR epidemic compartmental model with saturated incidence rate, vaccination and elimination strategies","authors":"Monika Badole , Ramakant Bhardwaj , Rohini Joshi , Pulak Konar","doi":"10.1016/j.rico.2024.100459","DOIUrl":"10.1016/j.rico.2024.100459","url":null,"abstract":"<div><p>In this study, we developed and analyzed a compartmental epidemic model and a system model that incorporate vaccination, elimination, and quarantine techniques, with a saturated incidence rate, by theoretical and numerical means. The model is described by a system of four nonlinear differential equations. Our analysis included determining the reproduction number <span><math><msub><mrow><mi>R</mi></mrow><mrow><mi>q</mi></mrow></msub></math></span> and examining equilibrium solutions. The outcomes of the disease are identified through the threshold <span><math><msub><mrow><mi>R</mi></mrow><mrow><mi>q</mi></mrow></msub></math></span>. When <span><math><mrow><msub><mrow><mi>R</mi></mrow><mrow><mi>q</mi></mrow></msub><mo><</mo><mn>1</mn></mrow></math></span>, the disease-free equilibrium is globally asymptotically stable, as proved by the LaSalle invariance principle and disease extinction analysis. However, using the Routh–Hurwitz criterion, we have proved that the disease-free equilibrium is not stable, and when <span><math><mrow><msub><mrow><mi>R</mi></mrow><mrow><mi>q</mi></mrow></msub><mo>></mo><mn>1</mn></mrow></math></span>, the unique endemic equilibrium is asymptotically stable locally. The stability of the endemic and disease-free equilibria globally has been examined using the Routh–Hurwitz and Dulac criteria. Subsequently, numerical simulations were utilized to illustrate the theoretical findings effectively.</p></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"16 ","pages":"Article 100459"},"PeriodicalIF":0.0,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666720724000894/pdfft?md5=be77ca5675314821c1d946491b564e65&pid=1-s2.0-S2666720724000894-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141998067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Rational-type contractions and their applications in extended b-metric spaces 有理型收缩及其在扩展 b 计量空间中的应用

Results in Control and Optimization Pub Date : 2024-07-27 DOI: 10.1016/j.rico.2024.100456

Nabil Mlaiki , Syed Khayyam Shah , Muhammad Sarwar

引用次数: 0

Controllability of impulsive nonlinear ψ-Hilfer fractional integro-differential equations 脉冲非线性ψ-希尔费分数积分微分方程的可控性

Results in Control and Optimization Pub Date : 2024-07-24 DOI: 10.1016/j.rico.2024.100455

A.M. Sayed Ahmed , Mahmoud A. AL-Nahhas , Othman A.M. Omar , Dimplekumar N. Chalishajar , Hamdy M. Ahmed

引用次数: 0

Robust two-degree-of-freedom control: A simulation-based approach for adults population with T1D 稳健的两自由度控制：针对患有 T1D 的成年人的模拟方法

Results in Control and Optimization Pub Date : 2024-07-09 DOI: 10.1016/j.rico.2024.100454

J.A. García-Rodríguez , Guy Yaoyotzin Cortés S․ , Roberto Carlos Diaz-Velazco , Alberto Gudiño-Ochoa , Antonio Navarrete-Guzmán

{"title":"Robust two-degree-of-freedom control: A simulation-based approach for adults population with T1D","authors":"J.A. García-Rodríguez , Guy Yaoyotzin Cortés S․ , Roberto Carlos Diaz-Velazco , Alberto Gudiño-Ochoa , Antonio Navarrete-Guzmán","doi":"10.1016/j.rico.2024.100454","DOIUrl":"10.1016/j.rico.2024.100454","url":null,"abstract":"<div><p>Diabetes Mellitus (DM) is emerging as a global concern, affecting people from early ages to adulthood and positioning itself as one of the leading causes of mortality worldwide. The post-COVID-19 era has been characterized by notable progress in the domains of medicine, science, and engineering, creating a favorable atmosphere for the investigation of innovative solutions. The present manuscript aims to investigate the problem of glucose regulation in adults diagnosed with Type 1 Diabetes mellitus (T1D) using a two-degree-of-freedom robust controller technique. A physiological mathematical model involving individuals with T1D serves as the foundation for the proposed closed-loop technique. The control algorithm approach successfully maintains safe glycemic levels in a virtual population of 10 adults using a sophisticated, well-known physiological T1D simulator. We evaluated this with continuous 24-hour simulations. Simulation results support the practicality of the presented approach, and we further validate it using a statistical analysis that incorporates a probability density function and control variability grid analysis (CVGA). Despite being a theoretical and simulation-based methodology, the results of this study demonstrate promise, offering promising opportunities for developments in the field of artificial pancreas technology using Mexican technology.</p></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"16 ","pages":"Article 100454"},"PeriodicalIF":0.0,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666720724000845/pdfft?md5=cecbe26c714d7ae0930f342ad6cbc6a2&pid=1-s2.0-S2666720724000845-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141638402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0