Enhancement of PID controller performance for a combined LFC and AVR single- and two-area model using exponential distribution optimization technique. [PDF]
Amin MS +3 more
europepmc +1 more source
ABSTRACT Induction motors (IMs) are widely used in industry for their robustness and cost‐effectiveness, yet their nonlinear and multivariable dynamics pose significant challenges for high‐performance speed control. Model Predictive Control (MPC) is a well‐established solution but suffers from limitations related to model accuracy and parameter ...
Asier del Rio +4 more
wiley +1 more source
Optimal fuzzy-PID controller design for object tracking. [PDF]
Melese YL, Alitasb GK, Belete MD.
europepmc +1 more source
Deep Reinforcement Learning‐Based Control for Real‐Time Hybrid Simulation of Civil Structures
ABSTRACT Real‐time Hybrid Simulation (RTHS) is a cyber‐physical technique that studies the dynamic behavior of a system by combining physical and numerical components that are coupled through a boundary condition enforcer. In structural engineering, the numerical components are subjected to environmental loads that become dynamic displacements of the ...
Andrés Felipe Niño +6 more
wiley +1 more source
Research on Time Constant Test of Thermocouples Based on QNN-PID Controller. [PDF]
Xu C, Hao X, Pei P, Wei T, Feng S.
europepmc +1 more source
Control System for the Navigation of the Agricultural Robots: A Review
ABSTRACT Control systems for the navigation of autonomous agricultural robots—particularly those operating in uneven terrain and in the presence of static or dynamic obstacles—have advanced considerably in recent years. As conventional machinery evolves toward increasingly automated systems, the design of reliable navigation controllers has become ...
Edna Carolina Moriones Polanía +3 more
wiley +1 more source
Nonlinear 2-DOF PID controller optimized by artificial lemming algorithm for robust engine speed regulation in spark-ignition systems. [PDF]
Ekinci S +5 more
europepmc +1 more source
Redefining Optimal Coverage Path Planning for FLS‐Equipped AUVs With Deep Reinforcement Learning
ABSTRACT Autonomous Underwater Vehicles (AUVs) have emerged as indispensable tools for a variety of subsea tasks, from habitat monitoring and seabed mapping to infrastructure inspection and mine countermeasures. A fundamental challenge in this field is Coverage Path Planning (CPP), the problem of ensuring complete and efficient area coverage.
Lorenzo Cecchi +3 more
wiley +1 more source
Design of a parameter self-tuning PID controller based on an ER-SLP for a variable-frequency air compressor in a rapid deballasting system. [PDF]
Pang S, Zhou J.
europepmc +1 more source

