Results in Control and Optimization最新文献_第4页

Simultaneous multi-objective optimization method for trading indicators 交易指标的多目标同步优化方法

Results in Control and Optimization Pub Date : 2024-11-21 DOI: 10.1016/j.rico.2024.100501

Nhat M. Nguyen, Minh Tran

引用次数: 0

A sustainable three-stage production inventory model with trapezoidal demand and time-dependent holding cost 具有梯形需求和随时间变化的持有成本的可持续三阶段生产库存模型

Results in Control and Optimization Pub Date : 2024-11-19 DOI: 10.1016/j.rico.2024.100493

Suvetha R. , Rangarajan K. , Rajadurai P.

引用次数: 0

Optimization of a high gain observer for feedback linearization control 优化反馈线性化控制的高增益观测器

Results in Control and Optimization Pub Date : 2024-11-19 DOI: 10.1016/j.rico.2024.100494

Nadia Bounouara, Mouna Ghanai, Kheireddine Chafaa

{"title":"Optimization of a high gain observer for feedback linearization control","authors":"Nadia Bounouara, Mouna Ghanai, Kheireddine Chafaa","doi":"10.1016/j.rico.2024.100494","DOIUrl":"10.1016/j.rico.2024.100494","url":null,"abstract":"<div><div>In this paper, a continuous–discrete time observer using an optimized high gain is proposed for a robotic manipulator where the output is time sampled. The main contribution of this approach is to improve the value of the high gain that corresponds to the minimum value of the cost function by using some metaheuristic algorithms. The observer is characterized by an optimal high gain that is optimized by biogeography-based optimization (BBO) algorithm, particle swarm optimization (PSO) method and genetic algorithms (GA). Through this investigation, it is proven that the best optimization results are obtained through the process based on the BBO algorithm. BBO is a relatively new nature-inspired optimization algorithm used to find the best and optimal value for an optimization problem. The introduced method is implemented in two steps. In the first step the high gain is optimized in an off-line way by the BBO algorithm. In the second step, the obtained optimal value is inserted on-line in a feedback control loop. The suggested optimized observer is used for two purposes: first it ensures an accurate estimation of state variables that are not physically measurable; despite the presence of disturbances and measurement noises; second it guarantees a stability of the considered system and the convergence of the estimation error. Results of simulated experimentations for robot manipulators are presented in order to demonstrate the performance and effectiveness of the proposed observer optimization.</div></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"17 ","pages":"Article 100494"},"PeriodicalIF":0.0,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142705809","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

Modified two-dimensional differential transform method for solving proportional delay partial differential equations 求解比例延迟偏微分方程的修正二维微分变换法

Results in Control and Optimization Pub Date : 2024-11-19 DOI: 10.1016/j.rico.2024.100499

Osama Ala’yed

{"title":"Modified two-dimensional differential transform method for solving proportional delay partial differential equations","authors":"Osama Ala’yed","doi":"10.1016/j.rico.2024.100499","DOIUrl":"10.1016/j.rico.2024.100499","url":null,"abstract":"<div><div>In this study, we develop a modified version of the two-dimensional differential transform (TDDT) method for solving proportional delay partial differential equations (PDPDEs) that frequently arise in engineering and scientific models. This modification is achieved by integrating the TDDT method with the Laplace transform and the Padé approximant, thereby leveraging the strengths of each technique to improve overall performance. Theorems are provided in a general manner to cover various types of PDEs, with constant or variable coefficients. To validate the approach, we apply it to three test problems, demonstrating its effectiveness in extending the convergence domain of the traditional TDDT approach, reducing computational complexity, and yielding analytic solutions with fewer computational steps. Results indicate that the method is a viable alternative for addressing PDPDEs, especially in scenarios where traditional analytic solutions are challenging to obtain. This combination opens new avenues for efficiently solving complex delayed systems in engineering and science, potentially outperforming existing numerical and analytical techniques in both speed and reliability.</div></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"17 ","pages":"Article 100499"},"PeriodicalIF":0.0,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142705807","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

Numerical benchmarking of dual decomposition-based optimization algorithms for distributed model predictive control 基于二元分解的分布式模型预测控制优化算法的数值基准测试

Results in Control and Optimization Pub Date : 2024-11-19 DOI: 10.1016/j.rico.2024.100495

Vassilios Yfantis , Achim Wagner , Martin Ruskowski

{"title":"Numerical benchmarking of dual decomposition-based optimization algorithms for distributed model predictive control","authors":"Vassilios Yfantis , Achim Wagner , Martin Ruskowski","doi":"10.1016/j.rico.2024.100495","DOIUrl":"10.1016/j.rico.2024.100495","url":null,"abstract":"<div><div>This paper presents a benchmark study of dual decomposition-based distributed optimization algorithms applied to constraint-coupled model predictive control problems. These problems can be interpreted as multiple subsystems which are coupled through constraints on the availability of shared limited resources. In a dual decomposition-based framework the production and consumption of these resources can be coordinated by iteratively computing their prices and sharing them with the involved subsystems. Following a brief introduction to model predictive control different architectures and communication topologies for a distributed setting are presented. After decomposing the system-wide control problem into multiple subproblems by introducing dual variables, several distributed optimization algorithms, including the recently proposed quasi-Newton dual ascent algorithm, are discussed. Furthermore, an epigraph formulation of the bundle cuts as well as a line search strategy are proposed for the quasi-Newton dual ascent algorithm, which increase its numerical robustness and speed up its convergence compared to the previously used trust region. Finally, the quasi-Newton dual ascent algorithm is compared to the subgradient method, the bundle trust method and the alternating direction method of multipliers for a large number of benchmark problems. The used benchmark problems are publicly available on GitHub.</div></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"17 ","pages":"Article 100495"},"PeriodicalIF":0.0,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142705803","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

The Θ-Hilfer fractional order model for the optimal control of the dynamics of Hepatitis B virus transmission 乙型肝炎病毒传播动态优化控制的 Θ-Hilfer 分数阶模型

Results in Control and Optimization Pub Date : 2024-11-19 DOI: 10.1016/j.rico.2024.100496

K. Ramalakshmi , B. Sundara Vadivoo , Kottakkaran Sooppy Nisar , Suliman Alsaeed

引用次数: 0

Noise robust classification of carbide tool wear in machining mild steel using texture extraction based transfer learning approach for predictive maintenance 使用基于纹理提取的迁移学习方法对低碳钢加工过程中的硬质合金刀具磨损进行噪声稳健分类，以进行预测性维护

Results in Control and Optimization Pub Date : 2024-11-19 DOI: 10.1016/j.rico.2024.100491

Ravi Sekhar , Sharnil Pandya , Pritesh Shah , Hemant Ghayvat , Deepak Sharma , Matthias Renz , Deep Shah , Adeeth Jagdale , Devansh Hukmani , Santosh Saxena , Neeraj Kumar

{"title":"Noise robust classification of carbide tool wear in machining mild steel using texture extraction based transfer learning approach for predictive maintenance","authors":"Ravi Sekhar , Sharnil Pandya , Pritesh Shah , Hemant Ghayvat , Deepak Sharma , Matthias Renz , Deep Shah , Adeeth Jagdale , Devansh Hukmani , Santosh Saxena , Neeraj Kumar","doi":"10.1016/j.rico.2024.100491","DOIUrl":"10.1016/j.rico.2024.100491","url":null,"abstract":"<div><div>Acoustics based smart condition monitoring is a viable alternative to mechanical vibrations or image-capture based predictive maintenance methods. In this study, a texture analysis based transfer learning methodology was applied to classify tool wear based on the noise generated during mild steel machining. The machining acoustics were converted to spectrogram images and transfer learning was applied for their classification into high/medium/low tool wear using four pre-trained deep learning models (SqueezeNet, ResNet50, InceptionV3, GoogLeNet). Moreover, three optimizers (RMSPROP, ADAM, SGDM) were applied to each of the deep learning models to enhance classification accuracies. Primary results indicate that the InceptionV3-RMSPROP obtained the highest testing accuracy of 87.50%, followed by the SqueezeNet-RMSPROP and ResNet50-SGDM at 75.00% and 62.50% respectively. However, SqueezeNet-RMSPROP was determined to be more desirable from a practical machining quality and safety perspective, owing to its greater recall value for the highest tool wear class. The proposed acoustics-texture extraction-transfer learning approach is especially suitable for cost effective tool wear condition monitoring involving limited datasets.</div></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"17 ","pages":"Article 100491"},"PeriodicalIF":0.0,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142705801","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

Optimization control of time-varying cyber–physical systems via dynamic-triggered strategies 通过动态触发策略实现时变网络物理系统的优化控制

Results in Control and Optimization Pub Date : 2024-11-17 DOI: 10.1016/j.rico.2024.100497

Yuanshan Liu, Yude Xia

引用次数: 0

Optimal control analysis of a mathematical model for guava nutrients in an integrated farming with cost-effectiveness 具有成本效益的综合农业中番石榴营养数学模型的优化控制分析

Results in Control and Optimization Pub Date : 2024-11-13 DOI: 10.1016/j.rico.2024.100490

Pulak Kundu, Uzzwal Kumar Mallick

{"title":"Optimal control analysis of a mathematical model for guava nutrients in an integrated farming with cost-effectiveness","authors":"Pulak Kundu, Uzzwal Kumar Mallick","doi":"10.1016/j.rico.2024.100490","DOIUrl":"10.1016/j.rico.2024.100490","url":null,"abstract":"<div><div>Because of its high nutritional value and easy availability, guava fruit has become more popular as a crop in tropical regions in recent decades. Unfortunately, its cultivation faces multifaceted challenges, with increasing the guava borer due to global warming posing a significant threat to crop yield, while the cost of pesticides adds to the economic burden on farmers. To overcome this difficulty, an integrated cultivation method has been devised to simultaneously cultivate guava and tuberose flowers for the purpose of biological pest management, while also earning money through the sale of the flowers to support the integrated agricultural plan. The present mathematical modeling study has focused on the optimal control problem using the strategy of spraying pesticides and flower harvesting, to achieve the highest possible profit. Characterization of the proposed optimal control was then carried out using Pontryagin’s maximum principle, where the objective of our farming would be higher when optimal management of our strategies would be provided compared to other scenarios. To find the most efficient and least expensive approach, cost-effectiveness analysis has been performed. According to the findings, an optimal strategy for harvesting flowers is the most economical and efficient way to increase the amount of earnings from this integrated farming. However, the results of this study can help the farmers in developing beneficial strategies to gain maximum profit by reducing the cost.</div></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"17 ","pages":"Article 100490"},"PeriodicalIF":0.0,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142662716","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

Observer-based fuzzy T–S control with an estimation error guarantee for MPPT of a photovoltaic battery charger in partial shade conditions 基于观测器的模糊 T-S 控制，为部分遮阳条件下光伏电池充电器的 MPPT 提供估计误差保证

Results in Control and Optimization Pub Date : 2024-11-12 DOI: 10.1016/j.rico.2024.100488

Redouane Chaibi , Rachid EL Bachtiri , Karima El Hammoumi , Mohamed Yagoubi

{"title":"Observer-based fuzzy T–S control with an estimation error guarantee for MPPT of a photovoltaic battery charger in partial shade conditions","authors":"Redouane Chaibi , Rachid EL Bachtiri , Karima El Hammoumi , Mohamed Yagoubi","doi":"10.1016/j.rico.2024.100488","DOIUrl":"10.1016/j.rico.2024.100488","url":null,"abstract":"<div><div>To improve the efficiency and performance of a photovoltaic system (PV) an observer-based fuzzy controller design methodology is provided in the study. The desired controller is achieved by employing a combination of linear matrix inequalities (LMIs). The system consists of a photovoltaic generator (PVG) connected to a boost converter. A battery is linked to the boost converter to stock additional energy for further use. A fuzzy controller based on a T–S fuzzy type observer that guarantees a predefined <span><math><msub><mrow><mi>L</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span> performance is suggested to achieve maximum power point tracking (MPPT) even under changing weather conditions. An optimal trajectory should be tracked to ensure maximum power operation. For this aim, a specific reference fuzzy model is proposed to create the aimed trajectories. Using this method, the system dynamics are precisely reproduced over a large range of operations. The whole T–S fuzzy methodology, suggested in this paper, aims to ensure the most efficient energy recovery to recharge a battery under partially shaded conditions, resulting in high system efficiency. The proposed method is simulated with MATLAB/SIMULINK and the simulation results, with realistic reference trajectories, are driven while taking into account climate variations. The analysis of these simulations, along with a comparison with two other commonly used approaches, led to the conclusion that the suggested strategy succeeded in reducing the tracking time, as well as eliminating the oscillation that often occurs around maximum power point (MPP).</div></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"17 ","pages":"Article 100488"},"PeriodicalIF":0.0,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142662667","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