Title
Approximate nonlinear model predictive control with in situ adaptive tabulation
Abstract
In situ adaptive tabulation (ISAT) is applied to store and retrieve solutions of nonlinear model predictive control (NMPC) problems. ISAT controls approximation error by adaptively building the database of NMPC solutions with piecewise linear local approximations. Unlike initial state or constraint parameterized constrained quadratic programming (QP) solutions, ISAT approximates NMPC solutions within a specified tolerance, thereby easing the dimensionality difficulties of these other techniques. In the limit, as the specified tolerance is reduced to zero and for linear models with quadratic objective functions, ISAT becomes an adaptive version of state parameterized storage and retrieval of mp-QP problems.
Year
DOI
Venue
2008
10.1016/j.compchemeng.2007.02.010
Computers & Chemical Engineering
Keywords
Field
DocType
In situ adaptive tabulation,Nonlinear model predictive control,Computational reduction
Parameterized complexity,Mathematical optimization,Linear model,In situ adaptive tabulation,Model predictive control,Quadratic equation,Quadratic programming,Piecewise linear function,Mathematics,Approximation error
Journal
Volume
Issue
ISSN
32
4
0098-1354
Citations 
PageRank 
References 
5
0.71
6
Authors
2
Name
Order
Citations
PageRank
John D. Hedengren1548.20
Thomas F. Edgar215025.89