English Chinese Russian German French Japanese Portuguese Hindi Telugu Tamil

Revista internacional de desarrollo e investigación de fármacos

  • ISSN: 0975-9344
  • Índice h de la revista: 44
  • Puntuación de cita de revista: 59.93
  • Factor de impacto de la revista: 48.80
Indexado en
  • Genamics JournalSeek
  • Infraestructura Nacional de Conocimiento de China (CNKI)
  • CiteFactor
  • cimago
  • Directorio de indexación de revistas de investigación (DRJI)
  • OCLC-WorldCat
  • Publón
  • miar
  • Comisión de Becas Universitarias
  • pub europeo
  • Google Académico
  • SHERPA ROMEO
  • Laboratorios secretos de motores de búsqueda
  • Puerta de la investigación
Ver más
Comparte esta página

Abstracto

Spray Fluidized-Bed Granulation Method Phase for Drug Development: Control of Particle Quality via Data-Driven, Model-Free Adaptation

Fiona Brien*

A novel data-driven model-free adaptive control (DDMFAC) approach is first presented, and then its stability and convergence analysis is provided to show algorithm stability and asymptotical convergence of tracking error. This approach combines the advantages of model-free adaptive control (MFAC) and data-driven optimal iterative learning control (DDOILC). In order to determine the occupied proportions of MFAC and DDOILC in accordance with their diverse control performances in various control stages, fuzzy logic is also used to adaptively adjust the parameters of the suggested approach. The proposed fuzzy DDMFAC (FDDMFAC) approach is utilised to regulate particle quality in the spray fluidizedbed granulation process's drug formulation stage. This approach's control efficiency is contrasted with that of MFAC, DDOILC, and their fuzzy versions, in which MFAC and DDOILC's parameters are adaptively changed using fuzzy logic. The efficiency of the suggested FDDMFAC approach is verified by a number of simulations.

Keywords

Drug Development; Nano crystal; Spray fluidized-bed; Drug formulation; Solubility enhancing technologies