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2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) / Institute of Electrical and Electronics Engineers.

IEEE Xplore (IEEE/IET Electronic Library - IEL) Available online

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Format:
Book
Author/Creator:
Institute of Electrical and Electronics Engineers, author, issuing body.
Language:
English
Subjects (All):
Fuzzy systems--Congresses.
Fuzzy systems.
Physical Description:
1 online resource : illustrations
Other Title:
2020 IEEE International Conference on Fuzzy Systems
Place of Publication:
Piscataway, NJ : IEEE, 2020.
Summary:
A novel self-organizing fuzzy proportional-integral-derivative (SOF-PID) control system is proposed in this paper. The proposed system consists of a pair of control and reference models, both of which are implemented by a first-order autonomous learning multiple model (ALMMo) neuro-fuzzy system. The SOF-PID controller self-organizes and self-updates the structures and meta-parameters of both the control and reference models during the control process "on the fly". This gives the SOF-PID control system the capability of quickly adapting to entirely new operating environments without a full re-training. Moreover, the SOF-PID control system is free from user- and problem-specific parameters and is entirely data-driven. Simulations and real-world experiments with mobile robots demonstrate the effectiveness and validity of the proposed SOF-PID control system.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
1-7281-6932-1

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