Simplified Fuzzy Model Based Predictive Control for a Nonlinear System

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http://hdl.handle.net/2183/29730

Simplified Fuzzy Model Based Predictive Control for a Nonlinear System

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2016_Escano_JuanManuel_Simplified-fuzzy-model-predictive-control-nonlinear-system.pdf (1.35 MB)

Identifiers

URI: http://hdl.handle.net/2183/29730

DOI: 10.17979/spudc.9788497498081.1250

Publication date

Authors

Escaño, Juan Manuel

Bordons, Carlos

Roshany-Yamchi, Samira

Witheephanich, Kritchai

Rubillon, Jean Michel

Bibliographic citation

Escaño, J.M., Bordons, C., Roshany-Yamchi, S., Witheephanich, K., Rubillon, J.M. Simplified fuzzy model based predictive control for a nonlinear system. En Actas de las XXXVII Jornadas de Automática. 7, 8 y 9 de septiembre de 2016, Madrid (pp. 1250-1256). DOI capítulo: https://doi.org/10.17979/spudc.9788497498081.1250 DOI libro: https://doi.org/10.17979/spudc.9788497498081

Abstract

[Abstract] A reduced complexity fuzzy model has been developed to capture the nonlinear dynamics of a mechanical system. The use of Functional Principal Analysis to reduce the complexity of the model permitted the use of a linear controller based on that model

Keywords

Fuzzy modelling Model predictive control Complexity reduction

Editor version

https://doi.org/10.17979/spudc.9788497498081.1250

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Atribución-NoComercial-CompartirIgual 4.0 Internacional

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Jornadas de Automática (37ª. 2016. Madrid)

Atribución-NoComercial-CompartirIgual 4.0 Internacional

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