Tech Xplore

Researchers discover a smarter way to solve vehicle routing problems using adaptive swarm learning

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
IEEE

Comparison of Tuning Techniques for PID Controllers in Mobile Robots Using the Empirical Method and the Firefly Metaheuristic Algorithm

Abstract: Trajectory tracking remains a fundamental chal-lenge in mobile robotics, particularly for non-holonomic differential-drive robots such as those used in the IEEE Very Small Size Soccer (VSSS) ...
IEEE

Model-Free Reinforcement Learning Auto-Tuned PID Controller for a Nonlinear System

Abstract: This paper presents a reinforcement learning (RL)-based approach for dynamically adjusting the gains of a proposed PID controller using an actor-critic framework. To enhance computational ...
Electronic Design

Learning About a PID Controller

What’s a good prototyping and learning platform? What’s on the CONTEx-511 Emona Controls Explorer board? How to take advantage of Digilent’s Analog Discovery Studio Max. 1. The CONTEx-511 Emona ...