This article presents a proposal, based on the model-free learning control (MFLC) approach,
for the control of the advanced oxidation process in wastewater plants. This is prompted by …

This paper deals with a practical application of the Q-learning algorithm as a general-
purpose self-improving controller operating in a class of industrial closed-loop control …

Robots can serve as safety catalysts on construction job sites by taking over hazardous and
repetitive tasks while alleviating the risks associated with existing manual workflows …

The energy profiles of users in the traditional grid are non-compliant and intractable.
However, with the evolution of smart grid, this need is fulfilled by customer-oriented …

This paper presents a new approach to the general-purpose self-improving controller based
on Q-learning control strategies. The previous approach was based on a three-dimensional …

This article presents a solution to pH control based on model-free learning control (MFLC).
The MFLC technique is proposed because the algorithm gives a general solution for acid …

This paper presents how Q-learning algorithm can be applied as a general-purpose
selfimproving controller for use in industrial automation as a substitute for conventional PI …

While robotic assistants capable of automating many a task are becoming more ubiquitous,
the complexity and unfamiliarity of such machines may discourage users from interacting …

MFIC (Model-Free Intelligent Control) is a technique, based on Reinforcement Learning,
previously proposed by the authors to control processes without needing a precalculated …

This article presents a solution to pH control based on model-free intelligent control (MFIC)
using reinforcement learning. This control technique is proposed because the algorithm …