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Self-Tuning Neural Network PID With Dynamic Response Control

https://doi.org/10.1109/access.2021.3075452
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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An adaptive PID controller with an online auto-tuning by a pretrained neural network
inferredcites →https://doi.org/10.1109/ceet1.2019.8711864openalex-snapshot
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inferredcites →https://doi.org/10.1109/icetech.2016.7569318openalex-snapshot
Speed control of DC motor using optimization techniques based PID Controller
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Genetic algorithm tuned PID controller for process control
inferredcites →https://doi.org/10.1109/icton.2015.7193425openalex-snapshot
Adaptive-tuning method based on neural networks for PID controllers applied to Passive Optical Networks (PONs)
inferredcites →https://doi.org/10.1109/roma.2017.8231738openalex-snapshot
Development of PID controller tuning tool based on cuckoo search algorithms
inferredcites →https://doi.org/10.1109/scored.2015.7449309openalex-snapshot
PID tuning control strategy using Cuckoo Search algorithm
inferredcites →https://doi.org/10.1109/tpel.2014.2311462openalex-snapshot
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inferredcites →https://doi.org/10.1142/s0218126618500652openalex-snapshot
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inferredcites →https://doi.org/10.1166/asl.2018.12121openalex-snapshot
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inferredcites →https://doi.org/10.23919/icue-gesd.2018.8635662openalex-snapshot
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inferredcites →https://doi.org/10.3390/s16091429openalex-snapshot
Neural Network-Based Self-Tuning PID Control for Underwater Vehicles
inferredcites →https://doi.org/10.48056/jintake.v5i2.75openalex-snapshot
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