Results in Control and Optimization最新文献

An accelerated black-box sample paths feasibility probability estimation method for control policies of autonomous vehicles 一种自动驾驶汽车控制策略的加速黑箱样本路径可行性概率估计方法

IF 3.2

Results in Control and Optimization Pub Date : 2025-09-26 DOI: 10.1016/j.rico.2025.100616

Siwei Liu, Qing-Shan Jia

{"title":"An accelerated black-box sample paths feasibility probability estimation method for control policies of autonomous vehicles","authors":"Siwei Liu, Qing-Shan Jia","doi":"10.1016/j.rico.2025.100616","DOIUrl":"10.1016/j.rico.2025.100616","url":null,"abstract":"<div><div>With the continuous development of autonomous vehicles technology, the feasibility probability estimation of the sample paths has become a key requirement in the performance evaluation of its control policies and the policy optimization with chance constraints. Aiming at the defect that current autonomous driving testing methods generally rely on human prior knowledge for sampling allocation, this paper proposes a method that can allocate the number of samples according to the feasibility probability and state occurrence probability, and proves its optimality. In this paper, we first propose an optimal sampling times allocation method to minimize probabilistic estimation variance, which can obtain an acceleration effect that is reciprocal to the probability of occurrence of the most critical state. For the actual task requirement, we also propose algorithms with iterative estimation and low-fidelity models. The results from numerical experiments with two initial states and intelligent vehicle cornering cruise experiments under ten initial states demonstrate that our method can achieve the same prediction estimation error with fewer samples.</div></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"21 ","pages":"Article 100616"},"PeriodicalIF":3.2,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145221912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Robust FDI for turbine-governor and network parameters in interconnected power systems via mixed H∞/pole placement observers 基于混合H∞/极点放置观测器的互联电力系统中涡轮调速器和网络参数的鲁棒FDI

IF 3.2

Results in Control and Optimization Pub Date : 2025-09-25 DOI: 10.1016/j.rico.2025.100619

Chadi Nohra , Raymond Ghandour , Mahmoud Khaled , Rachid Outbib

{"title":"Robust FDI for turbine-governor and network parameters in interconnected power systems via mixed H∞/pole placement observers","authors":"Chadi Nohra , Raymond Ghandour , Mahmoud Khaled , Rachid Outbib","doi":"10.1016/j.rico.2025.100619","DOIUrl":"10.1016/j.rico.2025.100619","url":null,"abstract":"<div><div>Interconnected power systems are increasingly vulnerable to parameter deviations—such as mechanical wear, blade loss, inertia degradation, or cyber-physical attacks—in turbine–governors, generators, and transmission lines. These deviations compromise stability and may lead to severe disturbances if not detected and isolated promptly. Conventional observer-based fault detection methods can identify anomalies but often fail to pinpoint the exact parameter responsible.</div><div>This paper proposes a robust Fault Detection and Isolation (FDI) framework capable of estimating and isolating key dynamic parameters, including turbine (Tt) and governor (Tg) time constants, inertia (H), damping (D), and tie-line synchronizing coefficients (Tij). The method integrates an H∞/H₂ observer with pole placement for disturbance attenuation and rapid residual generation, followed by an adaptive sliding mode estimator for parameter-specific isolation. This two-stage scheme enables precise differentiation between faults and noise, as well as between different types of parametric shifts.</div><div>Simulation studies on a multi-area load frequency control (LFC) system validate the accuracy and robustness of the proposed approach under diverse fault scenarios. Unlike conventional FDI techniques, the framework not only detects faults but also isolates their root causes, thereby providing actionable insights for operators and enhancing the resilience of modern interconnected power networks.</div></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"21 ","pages":"Article 100619"},"PeriodicalIF":3.2,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145221913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Strategic decision-making model for addressing barriers in Sukanya Samriddhi Yojana inclusion: An ISM-MICMAC analytical framework 解决Sukanya Samriddhi Yojana包容性障碍的战略决策模型：ISM-MICMAC分析框架

IF 3.2

Results in Control and Optimization Pub Date : 2025-09-24 DOI: 10.1016/j.rico.2025.100618

Kyvalya Garikapati , Sugyanta Priyadarshini , Nisrutha Dulla , Snigdharani Panda , Sumita Mishra , Jayalaxmi Samal

{"title":"Strategic decision-making model for addressing barriers in Sukanya Samriddhi Yojana inclusion: An ISM-MICMAC analytical framework","authors":"Kyvalya Garikapati , Sugyanta Priyadarshini , Nisrutha Dulla , Snigdharani Panda , Sumita Mishra , Jayalaxmi Samal","doi":"10.1016/j.rico.2025.100618","DOIUrl":"10.1016/j.rico.2025.100618","url":null,"abstract":"<div><div>The study aims to provide an insight into the performance of Sukanya Samriddhi Yojana (SSY). The primary objective of the study is to identify and understand the frequent barriers obstructing implementation of SSY scheme in rural areas and to determine the interrelationships between these barriers. The analysis made use of Interpretive Structural Modelling (ISM) approach and MICMAC analysis through a combination of expert opinion on validation of barriers. First, the study has identified 225 published documents retrieved from google scholar (n=222), Scopus (n=2) and Web of Science (n=1) data base for reviewing the literature and identifying barriers. Finally, 51 documents fulfilled the objective in identifying 9 Sukanya Samriddhi Yojana Implementation Barriers (SSYIBs). Secondly, ISM Identifies “Lack of communication” with Dependence Power (DP:1) and strong Driving Power (DRP:9) is identified as the major barrier among the 9 validated barriers in the context of rural India in implementing SSY scheme. MICMAC analysis identifies 5 barriers (Perceived cognizance, Societal Stigma, Cultural Inhibition, Lack of educational infrastructure, and Gender discrimination) as linkage variables under Quadrant 3 with strong DP (9) and DRP (5). Further, 4 barriers (Lack of awareness, Lack of knowledge, Lack of financial literacy) as independent variables under Quadrant 4 pursue weak DP (4) and strong DRP (8). This study can possibly be beneficial for academic researchers and policy makers by overcoming the gaps by assembling evidence from literature and integrating the findings for a clear understanding of the matter.</div></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"21 ","pages":"Article 100618"},"PeriodicalIF":3.2,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145221914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Stability of a class of complex-valued BAM neural networks with proportional delays and impulse via fixed point theory 用不动点理论研究一类具有比例时延和脉冲的复值BAM神经网络的稳定性

IF 3.2

Results in Control and Optimization Pub Date : 2025-09-13 DOI: 10.1016/j.rico.2025.100612

Min Luo , Mei Xiong , Longwei Chen , Yimin Yu

引用次数: 0

Analysis of Hilfer type coupled implicit (μ,σ)-order differential equations with Riemann–Liouville fractional integrable conditions via Topological degree method 具有Riemann-Liouville分数可积条件的Hilfer型耦合隐式（μ,σ）阶微分方程的拓扑度分析

IF 3.2

Results in Control and Optimization Pub Date : 2025-09-13 DOI: 10.1016/j.rico.2025.100613

Shahid Iqbal , Usman Riaz , Saeed Islam , Khayrilla Kurbonov , M. Ijaz Khan , Nidhal Ben Khedher

{"title":"Analysis of Hilfer type coupled implicit (μ,σ)-order differential equations with Riemann–Liouville fractional integrable conditions via Topological degree method","authors":"Shahid Iqbal , Usman Riaz , Saeed Islam , Khayrilla Kurbonov , M. Ijaz Khan , Nidhal Ben Khedher","doi":"10.1016/j.rico.2025.100613","DOIUrl":"10.1016/j.rico.2025.100613","url":null,"abstract":"<div><div>The article stated the class of <span><math><mrow><mo>(</mo><mi>μ</mi><mo>,</mo><mi>σ</mi><mo>)</mo></mrow></math></span>-order coupled implicit Hilfer fractional differential equations associated with integral type initial conditions, which is the generalization of Riaz and Zada (2021); Albidah (2023) and other well-known models, i.e. coupled competition species model, coupled oscillation model and coupled elastic beam model having transverse vibrations. The existence solution of the proposed coupled system can be found with the help of the Laplace transform, which is the fundamental method of differential equations. Banach contraction principle and the topological degree method will be used as tools for the uniqueness and at least one solution of the considered coupled problem. Stability of the problem is one of the important issues for the real wold problem. Stability in the sense of Hyers–Ulam and its types of the proposed coupled problem can be proved if the inequality F <span><math><mo>></mo></math></span> 0. For the illustration of results, an example will be presented, and the graphs of the system and its respective perturb system clearly show the differences when the order is changing.</div></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"21 ","pages":"Article 100613"},"PeriodicalIF":3.2,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145097952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing portfolio optimization in emerging markets: A cross-validation multi-target shrinkage approach 加强新兴市场的投资组合优化：一种交叉验证的多目标收缩方法

IF 3.2

Results in Control and Optimization Pub Date : 2025-09-11 DOI: 10.1016/j.rico.2025.100611

Minh Tran, Nhat M. Nguyen, Tuan A. Tran

引用次数: 0

Robust correlation feature selection based support vector machine approach for high dimensional datasets 基于鲁棒相关特征选择的高维数据支持向量机方法

IF 3.2

Results in Control and Optimization Pub Date : 2025-09-11 DOI: 10.1016/j.rico.2025.100609

Ishaq Abdullahi Baba , Mohammed Bappah Mohammed , Kamal Bakari Jillahi , Aliyu Umar , Hasan Talib Hendi

{"title":"Robust correlation feature selection based support vector machine approach for high dimensional datasets","authors":"Ishaq Abdullahi Baba , Mohammed Bappah Mohammed , Kamal Bakari Jillahi , Aliyu Umar , Hasan Talib Hendi","doi":"10.1016/j.rico.2025.100609","DOIUrl":"10.1016/j.rico.2025.100609","url":null,"abstract":"<div><div>Correlation-based feature selection methods are popular tools used to select the most important variables to include the true model in the analysis of sparse and high-dimensional models. In application, the presence of anomalous observations in both predictors and responses can seriously jeopardize the prediction accuracy of the model, which in turn leads to misleading interpretations and conclusions if not correctly addressed. Furthermore, the cause of dimensionality is another serious difficulty facing many existing feature selection algorithms. To achieve more reliable feature selection and prediction accuracy, a weighted sure independence screening-based support vector machine for high-dimensional datasets is proposed. The key contribution of our proposed method is that it minimizes the influence of outliers in differentiating between significant and insignificant features and improves predictability and interpretability. Our method consists of three basic steps. In the first step, a weights-based modified reweighted fast, consistent, and high break-down point is computed. The second step utilizes the estimates of weights from the first step to select the most important variables for the model. The third step employs the support vector machine algorithm to calculate prediction values. To demonstrate the effectiveness of the developed procedure, we used both simulation and real-life data examples. Our results show that the proposed methods performs better with a clear margin compared to other procedures.</div></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"21 ","pages":"Article 100609"},"PeriodicalIF":3.2,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145048530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modeling and sensitivity analysis of reaction diffusion brain disease with control rate under neurological disorder 神经障碍下控制率的反应弥漫性脑疾病建模及敏感性分析

IF 3.2

Results in Control and Optimization Pub Date : 2025-09-01 DOI: 10.1016/j.rico.2025.100610

Muhammad Farman , Ammara Talib , Aqeel Ahmad , Muhammad Owais Kulachi , Aceng Sambas , Mohamed Hafez

{"title":"Modeling and sensitivity analysis of reaction diffusion brain disease with control rate under neurological disorder","authors":"Muhammad Farman , Ammara Talib , Aqeel Ahmad , Muhammad Owais Kulachi , Aceng Sambas , Mohamed Hafez","doi":"10.1016/j.rico.2025.100610","DOIUrl":"10.1016/j.rico.2025.100610","url":null,"abstract":"<div><div>The central nervous system (CNS) is frequently affected by multiple sclerosis, a common neurological condition that can result in lesions that progress over time and space. Our work provides a mathematical model that demonstrate the course of the illness and its probability of return. A fractional order model is obtained by applying the fractal–fractional operator to a mathematical model that is designed with the notion of enhancing immune system development. To identify its stable location, a recently created system HI<span><math><msub><mrow><mi>I</mi></mrow><mrow><mi>v</mi></mrow></msub></math></span>TR is analyzed statistically and qualitatively. The study guarantees trustworthy bounded conclusions by examining the system’s well-posedness and local and global stability, which are critical characteristics of epidemic models. The Lipschitz condition is used with a fixed point theory tool to satisfy uniqueness and existence constraints. Additionally, the reproductive number is ascertained using a sensitivity study of factors including chaos control. Lyapunov first derivative functions are used to analyze the system for local and global stability in order to assess the overall impact of these measurements. By using power-law kernel at fractional orders, a dependable solution is derived by the use of the fractal–fractional operator. Furthermore, we confirm our theoretical results using numerical simulations. Our results are shown in graphs that illustrate the model’s different reactions for different values of the parameters.</div></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"20 ","pages":"Article 100610"},"PeriodicalIF":3.2,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145026984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deep learning based 3D residual convolutional and Multi-Head Attention (3D-RMA) for lip-reading 基于深度学习的三维残差卷积和多头注意唇读算法

IF 3.2

Results in Control and Optimization Pub Date : 2025-09-01 DOI: 10.1016/j.rico.2025.100608

Archana Chaudhari , Masuk Abdullah , Vivek Deshpande , Tushar Zanke , Samrudhi Wath , Snehashish Mulgir , Stuti Jagtap

{"title":"Deep learning based 3D residual convolutional and Multi-Head Attention (3D-RMA) for lip-reading","authors":"Archana Chaudhari , Masuk Abdullah , Vivek Deshpande , Tushar Zanke , Samrudhi Wath , Snehashish Mulgir , Stuti Jagtap","doi":"10.1016/j.rico.2025.100608","DOIUrl":"10.1016/j.rico.2025.100608","url":null,"abstract":"<div><div>Lip reading, an essential yet intricate facet of communication, has seen notable progress through the application of advanced deep learning techniques. This research introduces a deep learning-based lip-reading model that integrates Conv3D layers, Multi-Head Attention mechanisms, Bidirectional LSTMs, and a Dense output layer, combined with a custom Connectionist Temporal Classification (CTC) loss function. Our comprehensive data preprocessing pipeline extracts video frames, normalizes pixel values, and converts textual alignments into numerical tokens, enabling effective model integration. The model architecture is carefully structured to capture spatiotemporal features, with Conv3D layers addressing spatial information, while Multi-Head Attention mechanisms and Bidirectional LSTMs effectively manage temporal dependencies. Residual connections and Max-Pooling layers are incorporated to enhance feature extraction and abstraction, supporting improved performance. The use of Layer Normalization and Dropout layers contributes to stable learning and mitigates overfitting. Through extensive training and evaluation, our model demonstrates a 96% accuracy rate in decoding lip movements and predicting corresponding words. The implementation of the CTC loss function allows for effective handling of variable-length sequences, further contributing to the model’s performance. This research provides a technically sound approach to lip reading, contributing to the advancement of visual speech recognition and offering potential benefits for communication accessibility among individuals with hearing impairments.</div></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"20 ","pages":"Article 100608"},"PeriodicalIF":3.2,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144932326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dynamics of pest control model using natural enemy and refugia plant 利用天敌和避难植物防治害虫模型的动态

IF 3.2

Results in Control and Optimization Pub Date : 2025-08-18 DOI: 10.1016/j.rico.2025.100607

Muhammad Luthfi , Agus Suryanto , Isnani Darti , Farah Aini Abdullah

{"title":"Dynamics of pest control model using natural enemy and refugia plant","authors":"Muhammad Luthfi , Agus Suryanto , Isnani Darti , Farah Aini Abdullah","doi":"10.1016/j.rico.2025.100607","DOIUrl":"10.1016/j.rico.2025.100607","url":null,"abstract":"<div><div>In this study, we introduce a pest control model that describes the interaction among pests, natural enemies (predators), and refugia plants, incorporating intraspecific competition within the predator population. Predators interact mutually with refugia plants to maintain their presence in agricultural areas, enhancing their control of the pest population. On the other hand, heightened intraspecific competition for two key resources, nectar and pests, may encourage predators to migrate and exploit new resources. The non-negativity and boundedness of the solutions are shown to ensure that the proposed model is biologically feasible. We perform dynamic analysis to identify all potential equilibrium points and examine their local and global stability characteristics. The model has seven equilibrium points. However, only three of them are conditionally stable. The pest-free equilibrium point is stable under certain conditions, indicating that the pest population may be effectively controlled. Furthermore, we show that our system exhibits a Hopf bifurcation. Finally, we confirm our analytical results through some numerical simulations.</div></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"20 ","pages":"Article 100607"},"PeriodicalIF":3.2,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144866640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0