International Journal of General Systems最新文献_第6页

Simultaneous fault detection and robust control for a dynamic observer-based switched time delay systems with car roll dynamic application 基于动态观测器的汽车滚动动态切换时滞系统故障检测与鲁棒控制

4区计算机科学

International Journal of General Systems Pub Date : 2023-09-21 DOI: 10.1080/03081079.2023.2248359

M. R. Shokrollahi, A. K. Mousavi

{"title":"Simultaneous fault detection and robust control for a dynamic observer-based switched time delay systems with car roll dynamic application","authors":"M. R. Shokrollahi, A. K. Mousavi","doi":"10.1080/03081079.2023.2248359","DOIUrl":"https://doi.org/10.1080/03081079.2023.2248359","url":null,"abstract":"AbstractIn this study, the issue of simultaneous fault detection and control (SFDC) for a class of switched linear systems with input and state delays is being addressed. A detector/controller unit (dynamic observer/observer-based controller) is suggested for a residual generation that simultaneously takes into account the control and fault detection objectives using specific performance indices. It is assumed that the delay will fluctuate within a range with a lower bound that is not zero. Based on a Lyapunov–Krasovskii functional (LKF), and thanks to the free-weighting matrix and projection lemma, a new sufficient condition for developing a new method is put forth in terms of a set of linear matrix inequalities (LMIs). To illustrate how well the suggested results work, the proposed method is applied to a vehicle roll dynamic.KEYWORDS: Fault detection and controltime delay systemsdynamic observerlinear matrix inequalitycar roll dynamic Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementData sharing not applicable to this article as no datasets were generated or analyzed during the current study.","PeriodicalId":50322,"journal":{"name":"International Journal of General Systems","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136129084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Skill hierarchy structure based skill assessment and learning paths 基于技能评估和学习路径的技能层次结构

4区计算机科学

International Journal of General Systems Pub Date : 2023-09-14 DOI: 10.1080/03081079.2023.2256462

Dali Wang, Qingyuan Xu, Jinjin Li, Yongfan Zhu

{"title":"Skill hierarchy structure based skill assessment and learning paths","authors":"Dali Wang, Qingyuan Xu, Jinjin Li, Yongfan Zhu","doi":"10.1080/03081079.2023.2256462","DOIUrl":"https://doi.org/10.1080/03081079.2023.2256462","url":null,"abstract":"AbstractInstructional assessment and learning paths are essential for improving students' learning effectiveness. This paper explores enhancing learners' learning efficiency and quality from the perspective of the correlation between skills. Firstly, the concept of the skill hierarchy structure and valid skill combination is introduced, followed introducted the method of constructing a question bank based on the skill hierarchy structure. Secondly, the skill hierarchy structure is utilized to induce skill context and provide the competence base for the skill context. Finally, the method for assessing the skills mastered by the learner is provided in the case of a known knowledge state of learners, and the learning paths diagram suitable for the learner's personalized situation is constructed. Experimental results demonstrate that the competence structure derived from the induced skill context based on skill hierarchy structure meets the requirements of being well-graded. Furthermore, the proposed methods in this paper facilitate learners in effectively mastering and applying learned skills, thereby establishing a solid foundation and improving their learning efficiency.KEYWORDS: Skill hierarchy structurevalid skill combinationskill contextcompetence baseskill assessmentlearning paths Disclosure statementNo potential conflict of interest was reported by the author(s).","PeriodicalId":50322,"journal":{"name":"International Journal of General Systems","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134912364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Attribute reduction for incomplete mixed data based on neighborhood information system 基于邻域信息系统的不完全混合数据属性约简

4区计算机科学

International Journal of General Systems Pub Date : 2023-09-12 DOI: 10.1080/03081079.2023.2256464

Ran Li, Hongchang Chen, Shuxin Liu, Haocong Jiang, Biao Wang

{"title":"Attribute reduction for incomplete mixed data based on neighborhood information system","authors":"Ran Li, Hongchang Chen, Shuxin Liu, Haocong Jiang, Biao Wang","doi":"10.1080/03081079.2023.2256464","DOIUrl":"https://doi.org/10.1080/03081079.2023.2256464","url":null,"abstract":"In an era of data-based and information-centric Industry 4.0, extracting potential knowledge and valuable information from data is central to data mining tasks. Yet, the ambiguity, imprecision, incompleteness, and hybrid in real-world data pose tremendous challenges to critical information mining. Accordingly, we propose a new Max-Correlation Min-Redundant (MCMR) attribute reduction model from the uncertainty relation of attributes to avoid information loss in incomplete mixed data. Specifically, the neighbor relations are primarily developed based on the soft computing approach of the neighborhood information system, which divides the objects into neighborhood covers to maximize the utilization of the information in the incomplete mixed data. Then, we detailly analyze the internal and external consistency relationships of the four main uncertainty functions. Based on this, a new MCMR uncertain function is designed with maximum relevance and minimum redundancy. Experiments on nine real-world datasets validate the proposed model can improve data quality by mining critical information in classification tasks and achieving optimal performance with a minimum number of attributes.","PeriodicalId":50322,"journal":{"name":"International Journal of General Systems","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135825694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

On the concept of fuzzy order II: Antisymmetry 关于模糊序的概念II:反对称

IF 2 4区计算机科学

International Journal of General Systems Pub Date : 2023-08-31 DOI: 10.1080/03081079.2023.2232938

R. Belohlávek, Tomas Urbanec

引用次数: 2

On the concept of fuzzy order I: Remarks and observations 关于模糊序的概念I：注记与观察

IF 2 4区计算机科学

International Journal of General Systems Pub Date : 2023-08-31 DOI: 10.1080/03081079.2023.2232937

R. Belohlávek, Tomas Urbanec

引用次数: 2

p-Accelerated normal S-iterative learning control algorithm for linear discrete singular time-delay systems 线性离散奇异时滞系统的p加速正态s迭代学习控制算法

IF 2 4区计算机科学

International Journal of General Systems Pub Date : 2023-08-18 DOI: 10.1080/03081079.2023.2241982

D. R. Sahu, N. Singh

引用次数: 0

Metamodel-based dynamic algorithm configuration using artificial neural networks 基于元模型的人工神经网络动态组态算法

IF 2 4区计算机科学

International Journal of General Systems Pub Date : 2023-08-16 DOI: 10.1080/03081079.2023.2245124

Fabian Dunke, S. Nickel

引用次数: 0

On lacunary statistical convergence of double sequences in credibility theory 可信性理论中双序列的空缺统计收敛性

IF 2 4区计算机科学

International Journal of General Systems Pub Date : 2023-08-02 DOI: 10.1080/03081079.2023.2210742

R. Savaş, M. Gürdal

引用次数: 0

General power laws of the causalities in the causal Bayesian networks 因果贝叶斯网络中因果关系的一般幂律

IF 2 4区计算机科学

International Journal of General Systems Pub Date : 2023-07-19 DOI: 10.1080/03081079.2023.2234076

Boyuan Li, Xiaoyang Li, Zhaoxing Tian, Xia Lu, Rui Kang

引用次数: 0

Discovering overlapping communities using a new diffusion approach based on core expanding and local depth traveling in social networks 基于社交网络核心扩展和局部深度旅行的新扩散方法发现重叠社区

IF 2 4区计算机科学

International Journal of General Systems Pub Date : 2023-07-16 DOI: 10.1080/03081079.2023.2233050

Asgarali Bouyer, Maryam Sabavand Monfared, E. Nourani, Bahman Arasteh

{"title":"Discovering overlapping communities using a new diffusion approach based on core expanding and local depth traveling in social networks","authors":"Asgarali Bouyer, Maryam Sabavand Monfared, E. Nourani, Bahman Arasteh","doi":"10.1080/03081079.2023.2233050","DOIUrl":"https://doi.org/10.1080/03081079.2023.2233050","url":null,"abstract":"This paper proposes a local diffusion-based approach to find overlapping communities in social networks based on label expansion using local depth first search and social influence information of nodes, called the LDLF algorithm. It is vital to start the diffusion process in local depth, traveling from specific core nodes based on their local topological features and strategic position for spreading community labels. Correspondingly, to avoid assigning excessive and unessential labels, the LDLF algorithm prudently removes redundant and less frequent labels for nodes with multiple labels. Finally, the proposed method finalizes the node's label based on the Hub Depressed index. Thanks to requiring only two iterations for label updating, the proposed LDLF algorithm runs in low time complexity while eliminating random behavior and achieving acceptable accuracy in finding overlapping communities for large-scale networks. The experiments on benchmark networks prove the effectiveness of the LDLF method compared to state-of-the-art approaches.","PeriodicalId":50322,"journal":{"name":"International Journal of General Systems","volume":"52 1","pages":"991 - 1019"},"PeriodicalIF":2.0,"publicationDate":"2023-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47765783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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