Data/hora: 21/09/2024 03:55:48

Biblioteca(s): 	Embrapa Instrumentação.	
Data corrente: 	16/02/2024	
Data da última atualização: 	11/06/2024	
Autoria: 	SCHUTZ, D. R.; MERCALDI, H. V.; PEÑALOZA, E. A. G.; SILVA, L. J. R.; OLIVEIRA, V. A.; CRUVINEL, P. E.	
Afiliação: 	DENIVER REINKE SCHUTZ, UNIVERSIDADE DE SÃO PAULO (USP); FEDERAL UNIVERSITY OF SÃO CARLOS (UFSCAR); ELMER ALEXIS GAMBOA PEÑALOZA, FEDERAL UNIVERSITY OF PELOTAS; LUCAS JONYS RIBEIRO SILVA, UNIVERSIDADE DE SÃO PAULO (USP); VILMA ALVES DE OLIVEIRA, UNIVERSIDADE DE SÃO PAULO (USP); PAULO ESTEVAO CRUVINEL, CNPDIA.	
Título: 	Advanced embedded generalized predictive controller based on fuzzy gain scheduling for agricultural sprayers with dead zone nonlinearities.	
Ano de publicação: 	2024	
Fonte/Imprenta: 	Journal of Process Control, v. 135, 103164, 2024.	
Páginas: 	11 p.	
ISSN: 	0959-1524	
DOI: 	https://doi.org/10.1016/j.jprocont.2024.103164	
Idioma: 	Inglês	
Conteúdo: 	Variable rate application of pesticides in agriculture can improve pest control and also increase food production. Nevertheless, incorrect spraying poses risks to the environment and human health, as well as may increase the total cost of production. Nowadays, it is quite known the importance of innovation in techniques and technologies to improve the spraying process in a variable rate application for pest control. This work presents a generalized predictive control (GPC) strategy to cope with nonlinearities. An extension of the stability analysis for constrained GPC controller for infinite horizons is also developed, which guarantees the stability of a fuzzy GPC for a limited variation of its tuning parameters �� and ��. Results show the usefulness in adding a fuzzy logic system, to cope with nonlinearities, leading to a conception of an advanced fuzzy GPC for a limited variation of its tuning parameters.	
Palavras-Chave: 	Fuzzy control; Nonlinearity; Predictive controller; Sprayer.	
Categoria do assunto: 	--	
Registro original: 	Embrapa Instrumentação (CNPDIA)	
Exemplares: 	CNPDIA - (18396-1) - UPC - AP - DD - PROCI. 24/21 -  - 2024/21 - DIS