PID Tuning Using Differential Evolution With Success-Based Particle Adaptations
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| Vydané v: | IEEE Access Ročník 11; s. 136219 - 136268 |
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| Hlavní autori: | , |
| Médium: | Journal Article |
| Jazyk: | Japanese |
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Institute of Electrical and Electronics Engineers (IEEE)
01.01.2023
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| ISSN: | 2169-3536 |
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| Author | Alaa Khalifa Victor Parque |
|---|---|
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| SubjectTerms | 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 |
| Title | PID Tuning Using Differential Evolution With Success-Based Particle Adaptations |
| URI | https://cir.nii.ac.jp/crid/1871428068063784192 |
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