PID Tuning Using Differential Evolution With Success-Based Particle Adaptations

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Veröffentlicht in:IEEE Access Jg. 11; S. 136219 - 136268
Hauptverfasser: Victor Parque, Alaa Khalifa
Format: Journal Article
Sprache:Japanisch
Veröffentlicht: Institute of Electrical and Electronics Engineers (IEEE) 01.01.2023
Schlagworte:
Agronomy
Algorithm
Analysis and Design of Fractional Order Control Systems
Application of Genetic Programming in Machine Learning
Artificial intelligence
Biology
Computer science
Control (management)
Control and Systems Engineering
Control engineering
Control theory (sociology)
Controller (irrigation)
Controller Tuning
Convergence (economics)
differential evolution
Economic growth
Economics
Electrical engineering. Electronics. Nuclear engineering
Engineering
FOS: Mathematics
Fractional Order Control
Generalization
Inverted pendulum
magnetic levitation
Mathematical analysis
Mathematical optimization
Mathematics
Model Reduction
motor position control
motor velocity control
Nonlinear system
Optimization problem
Physical Sciences
Physics
PID control
PID Controller
PID tuning
Programming language
Quantum mechanics
Set (abstract data type)
Swarm Intelligence Optimization Algorithms
Temperature control
TK1-9971
ISSN:2169-3536
Online-Zugang:Volltext
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ISSN:2169-3536
DOI:10.1109/access.2023.3334148