Journal of The Franklin Institute-engineering and Applied Mathematics最新文献_第9页

Comment on: A robust observer based on the nonlinear descriptor systems application to estimate the state of charge of lithium-ion batteries 评论基于非线性描述子系统的鲁棒观测器在锂离子电池充电状态估算中的应用

IF 3.7 3区计算机科学

Journal of The Franklin Institute-engineering and Applied Mathematics Pub Date : 2024-09-23 DOI: 10.1016/j.jfranklin.2024.107287

Mohamed Zerrougui

{"title":"Comment on: A robust observer based on the nonlinear descriptor systems application to estimate the state of charge of lithium-ion batteries","authors":"Mohamed Zerrougui","doi":"10.1016/j.jfranklin.2024.107287","DOIUrl":"10.1016/j.jfranklin.2024.107287","url":null,"abstract":"<div><div>In the paper by Meng et al. (2023), an observer is proposed for nonlinear singular systems. The authors claim that their method effectively handles nonlinearity and disturbances affecting both the dynamic and algebraic parts of the system. They compare the performance of their observer with that proposed by Darouach et al. (2011), focusing on observer design for nonlinear singular systems with disturbances affecting the dynamic and algebraic parts as well as the output of the system. Furthermore, this approach has been extended to several other classes of systems, as discussed in Zerrougui et al. (2014) <span><span>[1]</span></span>, Darouach et al. (2013) <span><span>[2]</span></span>, and Darouach et al. (2010) <span><span>[3]</span></span>. Meng et al. apply their observer to estimate the state of charge of a lithium battery in comparison with the results in Snoussi et al. (2020). In this note, we aim to highlight the discrepancies between our respective findings. Specifically, we explain that the observer proposed by Meng et al. (2023), is more restrictive and may not be suitable for singular systems with nonlinear algebraic components or disturbances affecting this part or affecting outputs. Additionally, Meng et al. (2023) revisit the framework introduced in Darouach et al. (2011), adding a particular form for the matrix <span><math><mi>Φ</mi></math></span> that renders it more restrictive, without any contribution in the stability synthesis part.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"361 17","pages":"Article 107287"},"PeriodicalIF":3.7,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142420822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Novel discretized gravitational search algorithm for effective medical hyperspectral band selection 用于有效选择医疗高光谱波段的新型离散重力搜索算法

IF 3.7 3区计算机科学

Journal of The Franklin Institute-engineering and Applied Mathematics Pub Date : 2024-09-23 DOI: 10.1016/j.jfranklin.2024.107269

Chenglong Zhang , Xiaopeng Ma , Aizhu Zhang , Bin Yan , Kai Zhao , Qiyuan Cheng

{"title":"Novel discretized gravitational search algorithm for effective medical hyperspectral band selection","authors":"Chenglong Zhang , Xiaopeng Ma , Aizhu Zhang , Bin Yan , Kai Zhao , Qiyuan Cheng","doi":"10.1016/j.jfranklin.2024.107269","DOIUrl":"10.1016/j.jfranklin.2024.107269","url":null,"abstract":"<div><div>Medical hyperspectral imaging present a promising avenue for non-invasive diagnostic methods for diseases. Nonetheless, the sparsity of medical hyperspectral data within high-dimensional spaces introduces the “curse of dimensionality”, which diminishes the efficiency and accuracy of data processing efforts. Therefore, spectral dimensionality reduction emerges as an essential process in the analysis and utilization of MHSIs data. To retain the intrinsic properties of the spectral bands, an effective unsupervised band selection algorithm is proposed leveraging the gravitational search algorithm (GSA-UBS) to identify the optimal band subset. Taking into account the informational content and redundancy among candidate bands, a comprehensive evaluation criterion is established that incorporates a band distance matrix and an information entropy vector. Additionally, a straightforward discrete search strategy is developed that enables gravitational search algorithm to directly retrieve the original sequence numbers of the selected bands, bypassing the conventional 0–1 band weighting approach. The extensive evaluation of GSA-UBS on three publicly available <span><math><mrow><mi>i</mi><mi>n</mi><mi>v</mi><mi>i</mi><mi>v</mi><mi>o</mi></mrow></math></span> brain cancer MHSIs datasets and a remote sensing hyperspectral image demonstrates its superior performance compared to various state-of-the-art methods. The source code for GSA-UBS can be accessed at <span><span>https://github.com/zhangchenglong1116/GSA_UBS</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"361 18","pages":"Article 107269"},"PeriodicalIF":3.7,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142420653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Data-driven integral sliding mode predictive control with optimal disturbance observer 具有最佳干扰观测器的数据驱动积分滑动模式预测控制

IF 3.7 3区计算机科学

Journal of The Franklin Institute-engineering and Applied Mathematics Pub Date : 2024-09-23 DOI: 10.1016/j.jfranklin.2024.107278

Rui Xia , Xiaohang Song , Dawei Zhang , Dongya Zhao , Sarah K. Spurgeon

{"title":"Data-driven integral sliding mode predictive control with optimal disturbance observer","authors":"Rui Xia , Xiaohang Song , Dawei Zhang , Dongya Zhao , Sarah K. Spurgeon","doi":"10.1016/j.jfranklin.2024.107278","DOIUrl":"10.1016/j.jfranklin.2024.107278","url":null,"abstract":"<div><div>In this paper, a novel data-driven integral sliding mode predictive control algorithm based on an optimal disturbance observer (DDISMPC-ODO) is proposed for a class of nonlinear discrete-time systems (NDTS) subject to external disturbances. The designed optimal disturbance observer realizes the precise observation of the lumped disturbance, thus ameliorating the accuracy of the controller and weakening problems with chattering. In this work, a robust pseudo-partial derivative (PPD) estimation algorithm is introduced, which not only improves the system performance, but also facilitates theoretical proof of parameter estimation and tracking accuracy. The convergence of the PPD estimation error and disturbance observation error is proved. It is also proved that the accuracy of the disturbance observation error can converge to <span><math><mrow><mi>O</mi><mrow><mo>(</mo><msup><mrow><mi>T</mi></mrow><mrow><mn>3</mn></mrow></msup><mo>)</mo></mrow></mrow></math></span> and then the magnitude of the sliding variable and the tracking error are also reduced to <span><math><mrow><mi>O</mi><mrow><mo>(</mo><msup><mrow><mi>T</mi></mrow><mrow><mn>3</mn></mrow></msup><mo>)</mo></mrow></mrow></math></span> respectively. Finally, the effectiveness of the proposed method is demonstrated by a simulation example and an experiment.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"361 17","pages":"Article 107278"},"PeriodicalIF":3.7,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142420824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A cholera model coupling within-host and between-host with age-dependent and asymptomatic infections 霍乱模型将宿主内和宿主间与年龄依赖性和无症状感染耦合在一起

IF 3.7 3区计算机科学

Journal of The Franklin Institute-engineering and Applied Mathematics Pub Date : 2024-09-22 DOI: 10.1016/j.jfranklin.2024.107283

Ruixia Yin , Hao Wu , Long Zhang , Hong-Li Li , Yantao Luo , Zhidong Teng

{"title":"A cholera model coupling within-host and between-host with age-dependent and asymptomatic infections","authors":"Ruixia Yin , Hao Wu , Long Zhang , Hong-Li Li , Yantao Luo , Zhidong Teng","doi":"10.1016/j.jfranklin.2024.107283","DOIUrl":"10.1016/j.jfranklin.2024.107283","url":null,"abstract":"<div><div>In this paper, a coupling cholera epidemic model is proposed, in which the pathogens could both spread within-host and between-host, meanwhile, there exist age-dependent infection between the asymptomatic and symptomatic infected people. For the fast-time subsystem, the infection-free and endemic equilibria are both globally asymptotically stable. For the slow-time subsystem, the basic reproduction number <span><math><msub><mrow><mi>R</mi></mrow><mrow><mn>0</mn></mrow></msub></math></span> is determined, by which we observe that the disease-free equilibrium is globally asymptotically stable (the absence of pathogens in environment) if <span><math><mrow><msub><mrow><mi>R</mi></mrow><mrow><mn>0</mn></mrow></msub><mo><</mo><mn>1</mn></mrow></math></span>, while the endemic equilibrium is globally asymptotically stable (the presence of pathogens in environment) when <span><math><mrow><msub><mrow><mi>R</mi></mrow><mrow><mn>0</mn></mrow></msub><mo>></mo><mn>1</mn></mrow></math></span>. The theoretical results are illustrated by numerical simulations, by which we find that age-dependent and asymptomatic infections may further promote cholera spread. Besides, the linking of pathogen transmission at the individual level with infection at the population level could result in forward or backward bifurcation.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"361 17","pages":"Article 107283"},"PeriodicalIF":3.7,"publicationDate":"2024-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142420819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Rational-quadratic kernel-based maximum correntropy Kalman filter for the non-Gaussian noises 针对非高斯噪声的基于有理二次核的最大熵卡尔曼滤波器

IF 3.7 3区计算机科学

Journal of The Franklin Institute-engineering and Applied Mathematics Pub Date : 2024-09-21 DOI: 10.1016/j.jfranklin.2024.107286

Xuehua Zhao , Dejun Mu , Jiahui Yang , Jiahao Zhang

引用次数: 0

Robust blade pitch control of semi-submersible floating offshore wind turbines based on the modified super-twisting sliding-mode algorithm 基于改进的超扭曲滑动模式算法的半潜式浮动海上风力涡轮机叶片螺距稳健控制

IF 3.7 3区计算机科学

Journal of The Franklin Institute-engineering and Applied Mathematics Pub Date : 2024-09-20 DOI: 10.1016/j.jfranklin.2024.107279

Yong-Chao Liu, Hedi Basbas, Salah Laghrouche

引用次数: 0

Distributed time-varying optimization with prescribed-time approach 采用规定时间方法进行分布式时变优化

IF 3.7 3区计算机科学

Journal of The Franklin Institute-engineering and Applied Mathematics Pub Date : 2024-09-20 DOI: 10.1016/j.jfranklin.2024.107270

Yong Chen , Jieyuan Yang , Wei Zhong , Tao Yu

引用次数: 0

Adaptive control of bilateral teleoperators with convergent parameter estimation and guaranteed compliance 具有收敛参数估计和保证遵从性的双边远程操纵器自适应控制

IF 3.7 3区计算机科学

Journal of The Franklin Institute-engineering and Applied Mathematics Pub Date : 2024-09-20 DOI: 10.1016/j.jfranklin.2024.107291

Baorui Jing, Jing Na, Hao Duan, Yantian Li, Xian Wang, Yingbo Huang

{"title":"Adaptive control of bilateral teleoperators with convergent parameter estimation and guaranteed compliance","authors":"Baorui Jing, Jing Na, Hao Duan, Yantian Li, Xian Wang, Yingbo Huang","doi":"10.1016/j.jfranklin.2024.107291","DOIUrl":"10.1016/j.jfranklin.2024.107291","url":null,"abstract":"<div><div>Although adaptive control has been studied for teleoperation systems in the past decades, the convergence of parameter estimation is generally difficult to claim in the existing methods, and thus only specific scenarios (e.g., free motion) and partial operation performance (e.g., synchronization) have been addressed. In this paper, we found that the convergence of parameter estimation is crucial for bilateral teleoperation systems to retain the guaranteed operation performances, including compliance in the tracking motion and transparency in the contact motion. Accordingly, this paper suggests an alternative adaptive control for bilateral teleoperation systems, where a new adaptive law with the estimation errors as leakage terms is developed to obtain finite-time convergence of the parameter estimation. This convergent property allows to compensate for the undesired dynamics (e.g., gravity) in the closed-loop system so as to achieve ideal compliance and transparency. The control system’s stability and performances under constant time delays are analyzed for three scenarios: free motion, tracking motion, and contact motion. The quantitative relationship between the joint velocities and the human torques in the tracking motion is also studied, and the transparency is addressed in the contact motion. Simulations and experiments on a Baxter robot all showcase the effectiveness and superiority of the developed approach.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"361 18","pages":"Article 107291"},"PeriodicalIF":3.7,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142316213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

New conditions for stabilization and l2-gain analysis of discrete-time switched systems 离散时间开关系统稳定和 l2 增益分析的新条件

IF 3.7 3区计算机科学

Journal of The Franklin Institute-engineering and Applied Mathematics Pub Date : 2024-09-20 DOI: 10.1016/j.jfranklin.2024.107207

Yaping Sun , Wei Xing Zheng , Xinsong Yang , Zhengrong Xiang , Housheng Su

引用次数: 0

Class incremental learning with analytic learning for hyperspectral image classification 高光谱图像分类的类增量学习与分析学习

IF 3.7 3区计算机科学

Journal of The Franklin Institute-engineering and Applied Mathematics Pub Date : 2024-09-19 DOI: 10.1016/j.jfranklin.2024.107285

Huiping Zhuang , Yue Yan , Run He, Ziqian Zeng

{"title":"Class incremental learning with analytic learning for hyperspectral image classification","authors":"Huiping Zhuang , Yue Yan , Run He, Ziqian Zeng","doi":"10.1016/j.jfranklin.2024.107285","DOIUrl":"10.1016/j.jfranklin.2024.107285","url":null,"abstract":"<div><div>Hyperspectral image classification (HSIC) is crucial for applications in agriculture and environmental monitoring. As ground objects evolve and remote sensing technology progresses, there is a growing need for HSIC models that can adapt to new data classes without requiring to be retrained from scratch. Throughout the continual learning procedure, the model is expected to not only effectively extract spatial–spectral features from the hyperspectral image but also alleviate the issue of catastrophic forgetting, i.e., the model forgets the learned classes’ knowledge when accessing novel classes during the training process. In this paper, for the HSIC task, we propose a class incremental learning method (HSI-CIL) that is based on analytic learning, a technique that converts network training into linear problems. Specifically, The HSI-CIL model consists of a lightweight feature extractor, a Feature Processing Module (FPM) and an Analytic Linear Classifier (ALC). This model does not need data storage for old and new classes and has only one epoch in the incremental learning stage, so it has lower consumption of resources and training time than several attempts have been proposed for addressing catastrophic forgetting. We perform abundant experiments with the proposed HSI-CIL on three publicly available hyperspectral datasets including Indian Pines, Pavia University, and Salinas. The experiments demonstrate that our HSI-CIL exceeds the state-of-the-art class incremental learning (CIL) techniques applied in HSIC with a certain gap.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"361 18","pages":"Article 107285"},"PeriodicalIF":3.7,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142322461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0