This study introduces a Q-learning-based nonlinear model predictive control (QL-NMPC) framework for temperature control in batch reactors. A reinforcement learning agent is trained in simulation to ...

Fuzzy-Logic-Car-Control-System A Fuzzy Logic control system for a car which may be veering too far to the left or to the right on a road - this system corrects the direction and speed of the car's ...

This hands-on guide offers clear explanations of fuzzy logic along with practical applications and real-world examples. Written by an award-winning engineer, “Fuzzy Logic: Applications in Artificial ...

This paper presents a novel technique to tune the parameters of a fuzzy logic controller using a combination of reinforcement learning and genetic algorithms. The proposed technique is called a ...

This work employs a fuzzy logic controller to optimally integrate a DC microgrid. The maximum operating voltage of this DC microgrid charging station is 500 V. Power flow management using a fuzzy ...

In our controller design, a multilayer structure was provided to improve the learning ability and flexibility of a fuzzy neural network. Adaptation laws to update network parameters online were ...

This paper presents a novel technique to tune the parameters of a fuzzy logic controller using a combination of reinforcement learning and genetic algorithms. The proposed technique is called a ...