Minimize Control Inputs for Strong Structural Controllability Using Reinforcement Learning with Graph Neural Network.
Mengbang ZouWeisi GuoBailu JinPublished in: CoRR (2024)
Keyphrases
- neural network
- reinforcement learning
- optimal control
- control problems
- control policy
- control system
- adaptive neural
- control signals
- pattern recognition
- state space
- directed graph
- artificial neural networks
- multi agent
- function approximation
- adaptive control
- graph representation
- neural network is trained
- bipartite graph
- graph structure
- control strategies
- recurrent neural networks
- partial observability
- machine learning
- learning algorithm
- dynamic programming
- structural information
- fuzzy logic
- back propagation
- fault diagnosis
- genetic algorithm
- knn
- function approximators
- feedback control
- action selection
- bp neural network
- markov decision processes
- activation function
- spanning tree
- control method
- neural network model
- graph theory
- feed forward
- multilayer perceptron