Zobrazeno 1 - 10
of 127
pro vyhledávání: '"Roberto Baratti"'
Publikováno v:
Chemical Engineering Transactions, Vol 86 (2021)
Externí odkaz:
https://doaj.org/article/e5899c2c11624f5baa82c9b213dc8875
Publikováno v:
Chemical Engineering Transactions, Vol 86 (2021)
In this contribution, the monitoring and control problem of the natural gas liquids (NGL) extraction process is addressed by exploiting a data-driven approach. The cold residue reflux (CRR) process scheme is considered and simulated by using the proc
Externí odkaz:
https://doaj.org/article/ec08d730263d4677bed4c87e064284d6
Publikováno v:
Chemical Engineering Transactions, Vol 74 (2019)
The solvent recovery section from the exhaust gas represents an important auxiliary part for an industrial CO2 post-combustion capture plant by the reactive absorption-stripping process. In this work, a partial condenser and a water-wash section conf
Externí odkaz:
https://doaj.org/article/5145eb8707b941469d771c1a88c19693
Autor:
Stefania Tronci, Roberto Baratti
Publikováno v:
Complexity, Vol 2017 (2017)
This paper presents a gain-scheduling design technique that relies upon neural models to approximate plant behaviour. The controller design is based on generic model control (GMC) formalisms and linearization of the neural model of the process. As a
Externí odkaz:
https://doaj.org/article/1601c13f27114c09a5c2ade074ed7266
Publikováno v:
Heat Transfer Engineering. :1-20
Publikováno v:
Chemical Engineering Research and Design. 178:111-123
Publikováno v:
IFAC-PapersOnLine. 55:889-894
Autor:
Jesus Alvarez, Roberto Baratti
Publikováno v:
Computers & Chemical Engineering. 174:108246
Publikováno v:
Journal of Process Control. 102:66-84
The nonlinear stochastic dynamics of a class of two-state bioreactors with isotonic or nonisotonic kinetics is analytically characterized with Fokker–Planck (FP) theory, with emphasis on: (i) the spatiotemporal geometry of the two-state probability
Publikováno v:
IFAC-PapersOnLine. 54:342-347
The stochastic dynamics of a two-state bioreactor model with random feed flow fluctuations and non-monotonic specific growth rate is analyzed. Using the Fokker-Planck equation approach for describing the probability density function (PDF) evolution t