论文信息 - Self-tuning neuro-PID for SIMO systems

Self-tuning neuro-PID for SIMO systems

This paper is concerned with a new architecture of a self-tuning neuro-PID control system and its application to stabilization of an inverted pendulum. A single-input multi-output system is considered to control the inverted pendulum by using the PID controller. The PID gains are tuned by using two kinds of neural networks. The simulation results show effectiveness of the proposed approach.

Michifumi Yoshioka | Sigeru Omatu | Yoshiyuki Kishida

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