Adaptive state-space neuro-fuzzy control

Paulo Gil; Tiago Oliveira; Alberto Cardoso; Luís Palma

doi:10.1109/ECTICon.2018.8620064

Adaptive state-space neuro-fuzzy control

Paulo Gil, Tiago Oliveira, Alberto Cardoso, Luís Palma

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

This paper proposes a new general adaptive state-space Neuro-Fuzzy control framework. It combines a eight-layered neuro-fuzzy architecture with a state feedback quadratic stabilising controller. Both the model and controller are updated online within a constrained unscented Kalman filter. Results from a benchmark Multi-Input and Multi-Output system demonstrate the effectiveness of the proposed approach.

Original language	English
Title of host publication	ECTI-CON 2018 - 15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	45-48
Number of pages	4
ISBN (Electronic)	978-1-5386-3555-1
DOIs	https://doi.org/10.1109/ECTICon.2018.8620064
Publication status	Published - 18 Jan 2019
Event	15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2018 - Chiang Rai, Thailand Duration: 18 Jul 2018 → 21 Jul 2018

Conference

Conference	15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2018
Country/Territory	Thailand
City	Chiang Rai
Period	18/07/18 → 21/07/18

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10.1109/ECTICon.2018.8620064

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Gil, P., Oliveira, T., Cardoso, A., & Palma, L. (2019). Adaptive state-space neuro-fuzzy control. In ECTI-CON 2018 - 15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (pp. 45-48). Article 8620064 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ECTICon.2018.8620064

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title = "Adaptive state-space neuro-fuzzy control",

abstract = "This paper proposes a new general adaptive state-space Neuro-Fuzzy control framework. It combines a eight-layered neuro-fuzzy architecture with a state feedback quadratic stabilising controller. Both the model and controller are updated online within a constrained unscented Kalman filter. Results from a benchmark Multi-Input and Multi-Output system demonstrate the effectiveness of the proposed approach.",

author = "Paulo Gil and Tiago Oliveira and Alberto Cardoso and Lu{\'i}s Palma",

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doi = "10.1109/ECTICon.2018.8620064",

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Gil, P , Oliveira, T, Cardoso, A & Palma, L 2019, Adaptive state-space neuro-fuzzy control. in ECTI-CON 2018 - 15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology., 8620064, Institute of Electrical and Electronics Engineers (IEEE), pp. 45-48, 15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2018, Chiang Rai, Thailand, 18/07/18. https://doi.org/10.1109/ECTICon.2018.8620064

Adaptive state-space neuro-fuzzy control. / Gil, Paulo ; Oliveira, Tiago; Cardoso, Alberto et al.
ECTI-CON 2018 - 15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology. Institute of Electrical and Electronics Engineers (IEEE), 2019. p. 45-48 8620064.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Oliveira, Tiago

AU - Cardoso, Alberto

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AB - This paper proposes a new general adaptive state-space Neuro-Fuzzy control framework. It combines a eight-layered neuro-fuzzy architecture with a state feedback quadratic stabilising controller. Both the model and controller are updated online within a constrained unscented Kalman filter. Results from a benchmark Multi-Input and Multi-Output system demonstrate the effectiveness of the proposed approach.

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DO - 10.1109/ECTICon.2018.8620064

M3 - Conference contribution

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BT - ECTI-CON 2018 - 15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology

PB - Institute of Electrical and Electronics Engineers (IEEE)

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Y2 - 18 July 2018 through 21 July 2018

ER -

Adaptive state-space neuro-fuzzy control

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