Title: Every continuous nonlinear control system can be obtained by parametric convex programming
Authors: Baes, Michel ×
Diehl, Moritz
Necoara, Ion #
Issue Date: Sep-2008
Publisher: Institute of Electrical and Electronics Engineers
Series Title: IEEE Transactions on Automatic Control vol:53 issue:8 pages:1963-1967
Abstract: In this short note, we define parametric convex programming (PCP) in a slightly different manner than it is usually done by extending convexity not only to variables but also to the parameters, and we show that the widely applied model predictive control (MPC) technique is a particular case of PCP. The main result of the note is an answer to the inverse question of PCP: which feedback laws can be generated by PCP? By employing results of convex analysis, we provide a constructive proof-yet not computational-that allows us to conclude that every continuous feedback law can be obtained by PCP.
ISSN: 0018-9286
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Electrical Engineering - miscellaneous
ESAT - STADIUS, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics
× corresponding author
# (joint) last author

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