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Adaptive Nonlinear Model Predictive Control with Suboptimality and Stability Guarantees

Giselsson, Pontus LU (2010) 49th IEEE Conference on Decision and Control p.3644-3649
Abstract
Theory for Adaptive Nonlinear Model Predictive Control is developed based on the relaxed dynamic programming inequality. The adaptivity in the controller lies in the choice of control horizon. The control horizon is chosen such that a variation of the relaxed dynamic programming inequality holds for all time steps along the closed loop trajectory. This provides guarantees for asymptotic stability and closed loop suboptimality above a certain pre-specified level.
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to conference
publication status
published
subject
keywords
stability, Adaptive Model Predictive Control, sub-optimality
pages
3644 - 3649
conference name
49th IEEE Conference on Decision and Control
external identifiers
  • WOS:000295049104033
  • Scopus:79953142883
language
English
LU publication?
yes
id
57b178c1-7890-4345-bcff-6eed47fa7fba (old id 1769536)
date added to LUP
2011-01-25 12:14:56
date last changed
2016-10-13 04:55:39
@misc{57b178c1-7890-4345-bcff-6eed47fa7fba,
  abstract     = {Theory for Adaptive Nonlinear Model Predictive Control is developed based on the relaxed dynamic programming inequality. The adaptivity in the controller lies in the choice of control horizon. The control horizon is chosen such that a variation of the relaxed dynamic programming inequality holds for all time steps along the closed loop trajectory. This provides guarantees for asymptotic stability and closed loop suboptimality above a certain pre-specified level.},
  author       = {Giselsson, Pontus},
  keyword      = {stability,Adaptive Model Predictive Control,sub-optimality},
  language     = {eng},
  pages        = {3644--3649},
  title        = {Adaptive Nonlinear Model Predictive Control with Suboptimality and Stability Guarantees},
  year         = {2010},
}