Abstract
In this paper a new general recurrent state-space~\acl{NF} model structure based on the combination of a modified Jordan network and an~\acl{ANFIS} is proposed. The Neural-Fuzzy System's online training relies on a Constrained Unscented Kalman Filter, where weights, rules, membership functions and consequents are recursively updated. Results from a benchmark MIMO system demonstrate the applicability and effectiveness of the proposed framework.
Original language | English |
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Pages | 1-6 |
Number of pages | 6 |
DOIs | |
Publication status | Published - 2017 |
Event | 2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS) - Otsu, Japan Duration: 27 Jun 2017 → 30 Jun 2017 |
Conference
Conference | 2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS) |
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Period | 27/06/17 → 30/06/17 |