Chris is a writer and editor with over 10 years of experience covering games and has a bachelor's degree in History from the University of Central Lancashire. He's mainly focused on guides, but has ...

A neural-network-based controller adapts in real time to switching reference signals in piezoelectric nano-positioning stages, reducing tracking errors. (Nanowerk News) Nano-positioning stages driven ...

Controlling soft robots is challenging due to their complex, nonlinear dynamics. We show that a bio-inspired reservoir computing approach enables the control of a simulated musculoskeletal bio-hybrid ...

A general-purpose PID controller for the Beam Bots robotics framework. This library provides a BB.Controller implementation that subscribes to configurable topics for setpoint and measurement values, ...

What is a neural network? A neural network, also known as an artificial neural network, is a type of machine learning that works similarly to how the human brain processes information. Instead of ...

Abstract: Although adaptive control has been widely studied in nonlinear robotic systems, many traditional formulations rely on adaptive laws derived from the gradient algorithm, whose slow ...

Abstract: This research is a research continuation in the PID controller development and modernization field based on neural networks. Through the pseudo-linear component with amplitude suppression ...

The exploration of neural dynamics, inspired by the intricacies of brain functioning, has opened up new frontiers in the domains of control systems and computing. In recent years, neural dynamics has ...