Proton exchange membrane fuel cell (PEMFC) is a promising future power source, which
uses hydrogen energy to generate electricity with the byproduct of water. In general, PEMFC …

The tuning of the robot actuator represents many challenges to follow a predefined trajectory
on account of the uncertainties of parameters and the model nonlinearity. Furthermore, the …

The nonlinearities of the robotic manipulators and the uncertainties of their parameters
represent big challenges against the controller design. Moreover, the tracking of regular and …

Solid oxide fuel cell (SOFC) is disadvantaged by significant nonlinearity, which makes it
difficult to control output voltage of SOFC and satisfy the constraints of fuel utilization …

I/V polarization curves of proton‐exchange membrane fuel cells (PEMFCs) are used to
characterize the performance of single cells and stacks. Numerous semi‐empirical models …

Fuel cells are a promising solution for increasing driving range of electric vehicles. To
guarantee the high efficiency and stable operation of fuel cells, the effective regulation of …

In this paper, a novel hybrid Neural Network Algorithm-Differential Evolution (NNA-DE)
optimizer which integrates both NNA and DE is proposed. The proposed hybrid NNA-DE …

This paper intends to harness recent advances in intelligent commands to develop a novel
steering control strategy for autonomous ground vehicles (AGVs) maneuvering problems. In …

The beauty of the proportional-integral-derivative (PID) algorithm for feedback control is its
simplicity and efficiency. Those are the main reasons why PID controller is the most common …

At present, there are different types of Renewable Energy Resources (RESs) available in
nature which are wind, tidal, fuel cell, and solar. The wind, tidal, and solar power systems …