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.
In this paper, we propose a tuning method of the PID gains by using neural networks to control a single-input multi-output system and apply it to stabilization.
A new architecture of a self-tuning neuro-PID control system and its application to stabilization of an inverted pendulum and the simulation results show ...
Article. Title, Self-Tuning Neuro-PID for SIMO Systems. Author(s), Omatu, S ; Kishida, Y ; Yoshioka, M. Publication, 1998.
Article. Title, Self-Tuning Neuro-PID for SIMO Systems. Author(s), Omatu, S ; Kishida, Y ; Yoshioka, M. Publication, 1998.
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The 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 method to use the neural networks to tune the PID (proportional plus integral plus derivative) gains such that human operators tune the gains adaptively.
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Jul 24, 2022 · I've been trying to search how to tune my PID using pidTuner and pidtune but I dont know how should I do it since my system has 1 input and 2 outputs.
Missing: Self- neuro-
May 25, 2018 · This paper is concerned with a new architecture of a self-tuning neuro-PID control system and its application to stabilization of an inverted ...
May 12, 2023 · This paper presents a new Lyapunov-based off-line self-tuning control (OSTC). method. The OSTC is a nonlinear controller with applications to nonlinear systems.