论文信息 - Stabilization control of an inverted pendulum by complex-valued neuro-fuzzy learning algorithm

Stabilization control of an inverted pendulum by complex-valued neuro-fuzzy learning algorithm

As an automatic generation method of the fuzzy rules, the complex-valued neuro-fuzzy (CVNF) learning algorithm has been suggested. That is a method expanded the conventional neuro-fuzzy (NF) learning algorithm into the complex domain. The purpose of this study is to verify the effectiveness of the CVNF by performing the stabilization control of an inverted pendulum using CVNF, and comparing it with NF. As a result, the control of the inverted pendulum was possible in CVNF with higher precision than in NF.

Kazuyuki Murase | Ryusuke Hata | Jin Arai

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