Flatness-Based Identification of Nonlinear Dynamics
Author:
Affiliation:
1. University of Augsburg,Chair of Control Engineering at the Faculty of Applied Computer Science,Augsburg,Germany,86159
Funder
German Research Foundation (DFG)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10566119/10566120/10566206.pdf?arnumber=10566206
Reference13 articles.
1. Basis function networks for interpolation of local linear models
2. Learning model predictive control with long short‐term memory networks
3. Nonlinear MPC for Offset-Free Tracking of systems learned by GRU Neural Networks
4. Automated adaptive inference of phenomenological dynamical models
5. Efficient Inference of Parsimonious Phenomenological Models of Cellular Dynamics Using S-Systems and Alternating Regression
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