Enhanced artificial satellite search algorithm with memory and evolutionary operator for PID controller parameter estimation

Abstract The effective tuning of Proportional-Integral-Derivative (PID) controllers is crucial for industrial process control, but achieving optimal parameters for complex systems remains challenging. The recent Artificial Satellite Search Algorithm (ASSA) is strong in exploration but suffers from a...

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Detalhes bibliográficos

Autor principal:	Mohamed Issa
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2025-11-01
Colecção:	Scientific Reports
Assuntos:	PID controller Control dynamic systems Meta-heuristic optimization Artificial satellite search algorithm Evolutionary operators Stochastic local search
Acesso em linha:	https://doi.org/10.1038/s41598-025-24760-8
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