01764naa a2200265 a 450000100080000000500110000800800410001902200140006002400560007410000180013024501670014826000090031530000100032452009330033465300180126765300170128565300260130265300120132870000200134070000240136070000200138470000200140470000200142477300540144421620712024-06-11       2024    bl uuuu     u00u1 u    #d  a0959-15247 ahttps://doi.org/10.1016/j.jprocont.2024.1031642DOI1 aSCHUTZ, D. R.  aAdvanced embedded generalized predictive controller based on fuzzy gain scheduling for agricultural sprayers with dead zone nonlinearities.h[electronic resource]  c2024  a11 p.  aVariable 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.  aFuzzy control  aNonlinearity  aPredictive controller  aSprayer1 aMERCALDI, H. V.1 aPEÑALOZA, E. A. G.1 aSILVA, L. J. R.1 aOLIVEIRA, V. A.1 aCRUVINEL, P. E.  tJournal of Process Controlgv. 135, 103164, 2024.