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Offset-free setpoint tracking using neural network controllers
v1v2 (latest)

Offset-free setpoint tracking using neural network controllers

Conference on Learning for Dynamics & Control (L4DC), 2020
23 November 2020
Patricia Pauli
Johannes Köhler
J. Berberich
Anne Koch
Frank Allgöwer
ArXiv (abs)PDFHTML

Papers citing "Offset-free setpoint tracking using neural network controllers"

8 / 8 papers shown
Learning to Boost the Performance of Stable Nonlinear Systems
Learning to Boost the Performance of Stable Nonlinear Systems
Luca Furieri
C. Galimberti
Giancarlo Ferrari-Trecate
246
21
0
01 May 2024
Dissipative Imitation Learning for Discrete Dynamic Output Feedback
  Control with Sparse Data Sets
Dissipative Imitation Learning for Discrete Dynamic Output Feedback Control with Sparse Data SetsInternational Journal of Robust and Nonlinear Control (IJRNC), 2023
Amy K. Strong
Ethan J. LoCicero
L. Bridgeman
142
0
0
13 Sep 2023
Convolutional Neural Networks as 2-D systems
Convolutional Neural Networks as 2-D systems
Dennis Gramlich
Patricia Pauli
C. Scherer
Frank Allgöwer
C. Ebenbauer
3DV
276
7
0
06 Mar 2023
Neural Observer with Lyapunov Stability Guarantee for Uncertain
  Nonlinear Systems
Neural Observer with Lyapunov Stability Guarantee for Uncertain Nonlinear SystemsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Song Chen
Shengze Cai
Tehuan Chen
Chao Xu
Jian Chu
231
8
0
27 Aug 2022
Neural System Level Synthesis: Learning over All Stabilizing Policies
  for Nonlinear Systems
Neural System Level Synthesis: Learning over All Stabilizing Policies for Nonlinear SystemsIEEE Conference on Decision and Control (CDC), 2022
Luca Furieri
C. Galimberti
Giancarlo Ferrari-Trecate
290
24
0
22 Mar 2022
Neural network training under semidefinite constraints
Neural network training under semidefinite constraintsIEEE Conference on Decision and Control (CDC), 2022
Patricia Pauli
Niklas Funcke
Dennis Gramlich
Mohamed Amine Msalmi
Frank Allgöwer
GAN
393
19
0
03 Jan 2022
Distributed neural network control with dependability guarantees: a
  compositional port-Hamiltonian approach
Distributed neural network control with dependability guarantees: a compositional port-Hamiltonian approach
Luca Furieri
C. Galimberti
M. Zakwan
Giancarlo Ferrari-Trecate
243
27
0
16 Dec 2021
Linear systems with neural network nonlinearities: Improved stability
  analysis via acausal Zames-Falb multipliers
Linear systems with neural network nonlinearities: Improved stability analysis via acausal Zames-Falb multipliersIEEE Conference on Decision and Control (CDC), 2021
Patricia Pauli
Dennis Gramlich
J. Berberich
Frank Allgöwer
264
31
0
31 Mar 2021
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