A typical antilock brake system (ABS) senses when the wheel lockup is to occur, releases
the brakes momentarily, and then reapplies the brakes when the wheel spins up again. In …

Evolutionary Learning Algorithms for Neural Adaptive Control is an advanced textbook,
which investigates how neural networks and genetic algorithms can be applied to difficult …

This paper presents secondary voltage control by extracting reactive power from renewable
power technologies to control load buses voltage in a power system at different operating …

Autonomous systems evolve from control systems by adding functionalities that increase the
level of system autonomy. It is very important to the research in the field that autonomy be …

The paper is devoted to an emerging trend in control—a machine learning control. Despite
the popularity of the idea of machine learning, there are various interpretations of this …

This paper presents techniques for the application of tertiary and secondary voltage control
through the use of intelligent proportional integral derivative (PID) controllers and the wide …

Quantitative comparisons of space‐time activity‐travel patterns have been made at length in
regional science. Traditionally, Euclidean Hamming distances have been widely used to …

Sliding-mode control (SMC) is a robust technique used in power electronics (PE) for
controlling the behavior of power converters. This paper presents simulations and …

The convective heat transfer in a turbulent boundary layer (TBL) on a flat plate is enhanced
using an artificial intelligence approach based on linear genetic algorithms control (LGAC) …

The world is targeting fully sustainable electricity by 2050. Energy storage systems have the
biggest role to play in the 100% renewable energy scenario. This paper presents an optimal …