Most Drivers Use Cruise Control Without Knowing What It’s Really Doing

Cruise control maintains a set speed automatically, reducing driver fatigue on long drives. Modern adaptive cruise control ...
Electronic Design

“Reinforcement Learning” Fuels the Rise of Adaptive Controllers

More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems. It aims to strike a balance between traditional ...
IEEE

A Comparative Study of Bio Inspired Optimization Algorithms for Enhanced PID Control of BLDC Motor Speed

Abstract: This paper presents a systematic comparative study of bio-inspired optimization algorithms for tuning Proportional–Integral–Derivative (PID) controllers in brushless DC (BLDC) motor speed ...
IEEE

Optimization of PID Control System in a PCT-14-Based Pressure Control System Using Genetic Algorithm

Abstract: Precise pressure control is vital in chemical processes involving pneumatic systems, where stability and responsiveness directly impact product quality and safety. This study presented the ...
Hackaday

It’s 1979 – What Exactly Did That ∫ Key Do?

Michel Jean] asked a question few others might: what exactly is going on under the hood of a classic HP scientific calculator when one presses the ∫ key? A numerical integration, sure, but how ...
Investopedia

Inventory Turnover Ratio: What It Is, How It Works, and Formula

Jason Fernando is a professional investor and writer who enjoys tackling and communicating complex business and financial problems. David Kindness is a Certified Public Accountant (CPA) and an expert ...
Investopedia

5 Ways to Improve Your Financial Health

Adam Palasciano is a writer over three years of experience writing about personal finance, investing, student loans, and more, for outlets like GOBankingRates, FinanceBuzz, The Penny Hoarder, and Wall ...
GitHub

DeepPID — A deep-learning PID playground featuring Adaptive ML-based system controllers

A playground for experimenting with PID, model‑predictive, and machine‑learning–based controllers. DeepPID provides both traditional and neural adaptive controllers in a single, consistent framework, ...