Abstract: In this article, a global output feedback control scheme is developed for a class of uncertain nonlinear systems subject to input quantization and unknown output function. By employing a ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...

It’s often the case that as we are writing code, we don’t have all the information we need for our program to produce the desired result. For example, imagine you were asked to write a calculator ...

Abstract: Control Barrier Functions (CBFs) offer a framework for ensuring set invariance and designing constrained control laws. However, crafting a valid CBF relies on system-specific assumptions and ...

How neurons transform inputs into outputs is a fundamental building block of brain computation. Here, we measure neurons’ IO functions in the awake and intact brain, where ongoing network activity ...

Python 3.11 introduced the Specializing Adaptive Interpreter. When the interpreter detects that some operations predictably involve the same types, those operations are “specialized.” The generic ...

You’re given a Python function that manipulates a list of numbers. Your task is to determine the output of the function when it’s called with a specific argument.

Biological systems can process information without expending energy, and the limit to what can be achieved in this way is known as a Hopfield barrier. We characterize this barrier for the sharpness of ...