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Automatic nonlinear MPC approximation with closed-loop guarantees
Abdullah Tokmak
*
, Christian Fiedler
, Melanie N. Zeilinger
, Sebastian Trimpe
, Johannes Köhler
*
Corresponding author for this work
Cyber-physical Systems
Department of Electrical Engineering and Automation
RWTH Aachen University
ETH Zurich
Research output
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Contribution to journal
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Article
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Scientific
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peer-review
4
Citations (Scopus)
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Keyphrases
Nonlinear Model Predictive Control
100%
Control Approximation
100%
Model Predictive Control Algorithm
66%
Well Conditions
33%
High Sampling Rate
33%
Approximation Error
33%
Safety Guarantee
33%
Computational Demand
33%
Control Applications
33%
Interpolation Algorithm
33%
Non-iterative Algorithm
33%
Adaptive Kernel
33%
Kernel Interpolation
33%
Explicit Approximations
33%
Localized Kernels
33%
Computer Science
Approximation (Algorithm)
100%
Nonlinear Model
100%
Safety Critical Systems
66%
Predictive Model
66%
Control Application
33%
Computational Complexity
33%
Sampling Rate
33%
Function Approximation
33%
Reproducing Kernel
33%
Hilbert Space
33%
interpolation algorithm
33%
Approximating Function
33%
Approximation Problem
33%
INIS
nonlinear problems
100%
control
100%
approximations
100%
safety
50%
algorithms
50%
kernels
33%
demand
16%
applications
16%
errors
16%
calculation methods
16%
norm
16%
sampling
16%
hilbert space
16%
interpolation
16%
Chemical Engineering
Nonlinear Model Predictive Control
100%
Predictive Control Model
66%
Predictive Control Scheme
66%