Working with multiple sensors on an Arduino can unlock richer, more interactive projects. By integrating motion, light, distance, and environmental readings, you can create systems that respond ...

Building Arduino projects with multiple sensors can unlock powerful environmental monitoring, automation, and IoT applications. From DHT11 temperature sensors to motion, gas, and light detectors, ...

Abstract: This article addresses the consensus problem of a class of unknown nonlinear multiagent systems (MASs) under directed graphs via a novel model-free deep reinforcement learning (DRL) based ...

Abstract: This letter analyzes the contraction property of the nonlinear systems controlled by suboptimal model predictive control (MPC) using the continuation method. We propose a contraction metric ...