Author/Authors
Yi Cao، نويسنده ,
DocumentNumber
1384698
Title Of Article
A formulation of nonlinear model predictive control using automatic differentiation
شماره ركورد
11338
Latin Abstract
An efficient algorithm is developed to alleviate the computational burden associated with nonlinear model predictive control
(NMPC). The new algorithm extends an existing algorithm for solutions of dynamic sensitivity from autonomous to non-autonomous
differential equations using the Taylor series and automatic differentiation (AD). A formulation is then presented to recast the
NMPC problem as a standard nonlinear programming problem by using the Taylor series and AD. The efficiency of the new algorithm
is compared with other approaches via an evaporation case study. The comparison shows that the new algorithm can reduce
computational time by two orders of magnitude.
From Page
851
NaturalLanguageKeyword
Dynamic sensitivity , Predictive control , Optimal control
JournalTitle
Studia Iranica
To Page
858
To Page
858
Link To Document