… In this paper, a robust composite adaptive neural network controller using high-gain … excess
ratio control for PEM fuel cell air management system. First, the derivatives of system output, …

… OER tracking control with neural network observer and prescribed performance requirements.
Firstly, a neural network observer … Control schematic diagram of the PEM feul cell air-feed …

… subsystem is usually affected negatively by system uncertainty and unavailable variable. This
paper investigates a discrete neural network control with an observer … PEM fuel cell model …

… fuel cell (PEMFC) air-feed subsystem is an interesting topic to obtain a high energy
conversion ratio. The control purpose is challenging due to the unknown nonlinear function, time-…

… Many cells can be connected in series and a PEMFC stack … hydrogen fuel is fed continuously
to the anode whilst air (… fuzzy logic and neural network, the ANFIS controller is investigated …

… dynamic programming, deep echo-state neural network … Proton Exchange Membrane Fuel
Cell (PEMFC) system is one … , a time recurrent model defined online and in real time such as …

… The controller used in this research is an artificial neural network … a self-adaptive PID based
feed-forward artificial neural network (… by taking into account the error reduction in real time. …

… variables such as the air flow rate, feed manifold pressure and … weight adaptation parameters
is implemented in real time through … scheme proposed in this paper for the PEMFC system. …

… The sigmoid function is adapted in this study. Each connection … PEM fuel cell air-feed system,”
IEEE Trans. Ind. Electron., vol. … physical modeling, and real time simulation systems. Prof. …

… power production of the PEMFC system, a nonlinear … neural network model predictive
control (NNMPC) was carried out. To build the control system, MATLAB-based 0D PEMFC system …