2024-03-28T18:32:58Zhttp://digital.csic.es/dspace-oai/requestoai:digital.csic.es:10261/556982022-12-16T12:10:45Zcom_10261_47com_10261_8col_10261_300
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García, María-Sonia G.
author
Balsa-Canto, Eva
author
Alonso, Antonio A.
author
Banga, Julio R.
author
2005
This contribution describes the development and implementation of a novel software
toolbox, NDOT, for the dynamic optimization (open loop optimal control) of nonlinear
processes. This modular and flexible toolbox combines the control vector
parameterization approach with a number of local and global nonlinear programming
solvers and suitable dynamic simulation methods. NDOT is able to solve dynamic
optimization problems for both lumped and distributed nonlinear processes. Its
performance (robustness and efficiency) is illustrated considering a representative set of
nonlinear (lumped and distributed) benchmark problems.
Computer Aided Chemical Engineering 20: 121-126 (2005)
1570-7946
http://hdl.handle.net/10261/55698
Dynamic optimization
Optimal control
Distributed parameter systems
Control vector parameterization
Parametric sensitivities
A software toolbox for the dynamic optimization of nonlinear processes