Delay-dependent Fuzzy H<sub>∞</sub>Controller Design for Delayed Fuzzy Dynamic Systems

Lee, Kap-Rai

doi:10.5391/jkiis.2004.14.5.571

Journal of Korean Institute of Intelligent Systems

2004

DOI: 10.5391/jkiis.2004.14.5.571

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Delay-dependent Fuzzy H_∞Controller Design for Delayed Fuzzy Dynamic Systems

Kap-Rai Lee¹

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2024

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“…This is something that we should investigate more. The concept that there is some level of uncertainty present in the functioning of the system's parameters serves as the foundation of the fuzzy linear function that has been proposed [7][8][9]. The relationship between the variables in a FKRM with a non-symmetric TF co-efficient is described using fuzzy logic.…”

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confidence: 99%

Disseminate Reduce Flexible Fuzzy linear regression model to the analysis of an IoT-based Intelligent Transportation System

khan,

Kumar,

Dhiman

et al. 2024

Preprint

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FLM with TFN coefficients that are symmetrically arranged have traditionally been used to develop fuzzy regression analysis. In this study, The FLM is generalized to the case when the dispersion of a fuzzy non-symmetric number is minimized. Here, we employ non-symmetric trapezoidal and TFN coefficients in our fuzzy linear models. Fuzzy number coefficients can be used to discover the closest approximations of non-symmetric fuzzy numbers, we suggest a fuzzy regression method leveraging existing techniques. On the basis of the suggested strategy and existing FLR-model, we finally resolve the numerical examples and also give an application of FLRM. A "smart city" is one that makes use of both traditional city services and digital ones. The system's ability to deliver services depends on the compatibility of its information technology and physical infrastructures. Some have dubbed this breakthrough "the future of innovation" since it targets all six pillars of sustainability: economic growth, social equity, effective governance, mobility options, environmental protection, and improved quality of life. Consideration should be given to mobility, one of the six pillars of smart cities. Interstate travel is impacted by interprovincial trade in road freight. Therefore, accurate provincial estimates of road freight transportation are crucial for enhancing rural traffic operations generally. Researchers build and test models with information from all 30 of Iran's regions in 2008. In modelling, POP is the primary independent variable. FLRM and POP are used to calibrate FLRA, and the resulting error values are used as a measure of the model's ability to match the data.

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confidence: 99%

Disseminate Reduce Flexible Fuzzy linear regression model to the analysis of an IoT-based Intelligent Transportation System

khan,

Kumar,

Dhiman

et al. 2024

Preprint

View full text Add to dashboard Cite

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Delay-dependent Fuzzy H_∞Controller Design for Delayed Fuzzy Dynamic Systems

Cited by 1 publication

References 9 publications

Disseminate Reduce Flexible Fuzzy linear regression model to the analysis of an IoT-based Intelligent Transportation System

Disseminate Reduce Flexible Fuzzy linear regression model to the analysis of an IoT-based Intelligent Transportation System

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Delay-dependent Fuzzy H∞Controller Design for Delayed Fuzzy Dynamic Systems

Cited by 1 publication

References 9 publications

Disseminate Reduce Flexible Fuzzy linear regression model to the analysis of an IoT-based Intelligent Transportation System

Disseminate Reduce Flexible Fuzzy linear regression model to the analysis of an IoT-based Intelligent Transportation System

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Delay-dependent Fuzzy H_∞Controller Design for Delayed Fuzzy Dynamic Systems