PID gain plot for <i>ψ</i> dynamics.

<div><p>This paper presents a novel hybrid combined neural network and fuzzy logic adaptive proportional, integral, and derivative(NNPID+FPID) control strategy that integrates neural networks and fuzzy logic for optimizing Unmanned Aerial Vehicle(UAV) dynamics by tuning the gains of a PI...

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Bibliographic Details
Main Author:	Nigatu Wanore Madebo (22146141) (author)
Published:	2025
Subjects:	Neuroscience Biotechnology Developmental Biology Infectious Diseases Biological Sciences not elsewhere classified Information Systems not elsewhere classified proposed approach leverages mean squared error layer neural network integrates neural networks combining neural networks applying neural networks >&# 981 ;</ >&# 968 ;</ >&# 952 ;</ 10 hidden neurons dimensional control challenges states using proportional fuzzy logic enhances div >< p derivative errors () adjust pid gains fuzzy logic pid controller input errors control strategy work demonstrates time adaptability remaining states paper presents ensure real
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PID gain plot for <i>ψ</i> dynamics.

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