In unsupervised learning, there is no output related to the inputs, meaning that the data is unlabeled. Unsupervised learning must find the existing patterns and relationships between data samples. In reinforcement learning (RL), the agent and the dynamic environment work in relation to each other...
This paper proposes a hybrid Zeigler-Nichols (Z-N) fuzzy reinforcement learning MAS (Multi-Agent System) approach for online tuning of a Proportional Integral Derivative (PID) controller in order to control the flow rate of a desalination unit. The PID gains are set by the Z-N method and ...
This paper proposes a hybrid Zeigler-Nichols (Z-N) fuzzy reinforcement learning MAS (Multi-Agent System) approach for online tuning of a Proportional Integral Derivative (PID) controller in order to control the flow rate of a desalination unit. The PID gains are set by the Z-N method and ...