Fuzzy Control of Uncertain Nonlinear Systems with Numerical Techniques: A Survey

Raheleh Jafari, Sina Razvarz, Alexander Gegov, Wen Yu

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferencia

Resumen

This paper provides an overview of numerical methods in order to solve fuzzy equations (FEs). It focuses on different numerical methodologies to solve FEs, dual fuzzy equations (DFEs), fuzzy differential equations (FDEs) and partial fuzzy differential equations (PFDEs). The solutions which are produced by these equations are taken to be the controllers. This paper also analyzes the existence of the roots of FEs and some important implementation problems. Finally, several examples are reviewed with different methods.

Idioma originalInglés
Título de la publicación alojadaAdvances in Computational Intelligence Systems - Contributions Presented at the 19th UK Workshop on Computational Intelligence, 2019
EditoresZhaojie Ju, Dalin Zhou, Alexander Gegov, Longzhi Yang, Chenguang Yang
EditorialSpringer Verlag
Páginas3-14
Número de páginas12
ISBN (versión impresa)9783030299323
DOI
EstadoPublicada - 1 ene 2020
Evento19th Annual UK Workshop on Computational Intelligence, UKCI 2019 - Portsmouth, Reino Unido
Duración: 4 sep 20196 sep 2019

Serie de la publicación

NombreAdvances in Intelligent Systems and Computing
Volumen1043
ISSN (versión impresa)2194-5357
ISSN (versión digital)2194-5365

Conferencia

Conferencia19th Annual UK Workshop on Computational Intelligence, UKCI 2019
PaísReino Unido
CiudadPortsmouth
Período4/09/196/09/19

Huella dactilar

Fuzzy control
Nonlinear systems
Differential equations
Numerical methods
Controllers

Citar esto

Jafari, R., Razvarz, S., Gegov, A., & Yu, W. (2020). Fuzzy Control of Uncertain Nonlinear Systems with Numerical Techniques: A Survey. En Z. Ju, D. Zhou, A. Gegov, L. Yang, & C. Yang (Eds.), Advances in Computational Intelligence Systems - Contributions Presented at the 19th UK Workshop on Computational Intelligence, 2019 (pp. 3-14). (Advances in Intelligent Systems and Computing; Vol. 1043). Springer Verlag. https://doi.org/10.1007/978-3-030-29933-0_1
Jafari, Raheleh ; Razvarz, Sina ; Gegov, Alexander ; Yu, Wen. / Fuzzy Control of Uncertain Nonlinear Systems with Numerical Techniques : A Survey. Advances in Computational Intelligence Systems - Contributions Presented at the 19th UK Workshop on Computational Intelligence, 2019. editor / Zhaojie Ju ; Dalin Zhou ; Alexander Gegov ; Longzhi Yang ; Chenguang Yang. Springer Verlag, 2020. pp. 3-14 (Advances in Intelligent Systems and Computing).
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abstract = "This paper provides an overview of numerical methods in order to solve fuzzy equations (FEs). It focuses on different numerical methodologies to solve FEs, dual fuzzy equations (DFEs), fuzzy differential equations (FDEs) and partial fuzzy differential equations (PFDEs). The solutions which are produced by these equations are taken to be the controllers. This paper also analyzes the existence of the roots of FEs and some important implementation problems. Finally, several examples are reviewed with different methods.",
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Jafari, R, Razvarz, S, Gegov, A & Yu, W 2020, Fuzzy Control of Uncertain Nonlinear Systems with Numerical Techniques: A Survey. En Z Ju, D Zhou, A Gegov, L Yang & C Yang (eds.), Advances in Computational Intelligence Systems - Contributions Presented at the 19th UK Workshop on Computational Intelligence, 2019. Advances in Intelligent Systems and Computing, vol. 1043, Springer Verlag, pp. 3-14, 19th Annual UK Workshop on Computational Intelligence, UKCI 2019, Portsmouth, Reino Unido, 4/09/19. https://doi.org/10.1007/978-3-030-29933-0_1

Fuzzy Control of Uncertain Nonlinear Systems with Numerical Techniques : A Survey. / Jafari, Raheleh; Razvarz, Sina; Gegov, Alexander; Yu, Wen.

Advances in Computational Intelligence Systems - Contributions Presented at the 19th UK Workshop on Computational Intelligence, 2019. ed. / Zhaojie Ju; Dalin Zhou; Alexander Gegov; Longzhi Yang; Chenguang Yang. Springer Verlag, 2020. p. 3-14 (Advances in Intelligent Systems and Computing; Vol. 1043).

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferencia

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Jafari R, Razvarz S, Gegov A, Yu W. Fuzzy Control of Uncertain Nonlinear Systems with Numerical Techniques: A Survey. En Ju Z, Zhou D, Gegov A, Yang L, Yang C, editores, Advances in Computational Intelligence Systems - Contributions Presented at the 19th UK Workshop on Computational Intelligence, 2019. Springer Verlag. 2020. p. 3-14. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-030-29933-0_1