Abstract
This paper proposes a general recursive 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 |
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Title of host publication | Proceedings of 2018 10th International Conference on Information Technology and Electrical Engineering: Smart Technology for Better Society, ICITEE 2018 |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 89-93 |
Number of pages | 5 |
ISBN (Electronic) | 9781538647394 |
DOIs | |
Publication status | Published - 13 Nov 2018 |
Event | 10th International Conference on Information Technology and Electrical Engineering, ICITEE 2018 - Bali, Indonesia Duration: 24 Jul 2018 → 26 Jul 2018 |
Conference
Conference | 10th International Conference on Information Technology and Electrical Engineering, ICITEE 2018 |
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Country/Territory | Indonesia |
City | Bali |
Period | 24/07/18 → 26/07/18 |