7 citations · 9 across the 5 of their papers we have counts for
5 papers · 1 filter
Optimal Tracking Current Control of Switched Reluctance Motor Drives Using Reinforcement Q-learning Scheduling
Hamad A. Alharkan, Sepehr Saadatmand, Mehdi Ferdowsi +1
In this paper, a novel Q-learning scheduling method for the current controller of switched reluctance motor (SRM) drive is investigated. Q-learning algorithm is a class of reinforc…
The Voltage Regulation of a Buck Converter Using a Neural Network Predictive Controller
Sepehr Saadatmand, Pourya Shamsi, Mehdi Ferdowsi
In this paper, a neural network predictive controller (NNPC) is proposed to control a buck converter. Conventional controllers such as proportional integral (PI) or proportional in…
The Heuristic Dynamic Programming Approach in Boost Converters
Sepehr Saadatmand, Pourya Shamsi, Mehdi Ferdowsi
In this study, a heuristic dynamic programming controller is proposed to control a boost converter. Conventional controllers such as proportional integral-derivative (PID) or propo…
The Voltage Regulation of Boost Converters Using Dual Heuristic Programming
Sepehr Saadatmand, Mohammadamir Kavousi, Sima Azizi
In this paper, a dual heuristic programming controller is proposed to control a boost converter. Conventional controllers such as proportional integral derivative (PID) or proporti…
Autonomous Control of a Line Follower Robot Using a Q-Learning Controller
Sepehr Saadatmand, Sima Azizi, Mohammadamir Kavousi +1
In this paper, a MIMO simulated annealing SA based Q learning method is proposed to control a line follower robot. The conventional controller for these types of robots is the prop…