A Physics-informed Machine Learning-based Control Method for Nonlinear Dynamic Systems with Highly Noisy Measurements.
Mason MaJiajie WuChase PostTony ShiJingang YiTony SchmitzHong WangPublished in: CoRR (2023)
Keyphrases
- control method
- machine learning
- nonlinear dynamic systems
- noisy measurements
- nonlinear systems
- adaptive control
- fuzzy control
- control algorithm
- control strategy
- recurrent neural networks
- fuzzy controller
- control system
- pid controller
- artificial neural networks
- artificial intelligence
- image sequences
- reinforcement learning
- manufacturing systems
- computer vision
- computational intelligence
- neural network
- control scheme
- optimal control
- dynamic model
- real time
- input output
- pose estimation
- learning algorithm
- rough sets