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• W3082661078 abstract "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." @default.
• W3082661078 created "2020-09-08" @default.
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• W3082661078 date "2020-07-01" @default.
• W3082661078 modified "2023-09-24" @default.
• W3082661078 title "A Novel Self-Organizing PID Approach for Controlling Mobile Robot Locomotion" @default.
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• W3082661078 doi "https://doi.org/10.1109/fuzz48607.2020.9177557" @default.
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