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ORCIDPablo Zometa
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2020 – today
- 2024
[c11]Kiran Kumar Sathyanarayanan, Philipp Sauerteig, Pablo Zometa, Stefan Streif:
Quantized Deep Neural Network Based Optimal Control of Greenhouses on a Microcontroller. ECC 2024: 400-405- [c10]Pablo Zometa, Timm Faulwasser:
Towards Predictive Path-Following Control using Deep Neural Networks and Path Primitives. ECC 2024: 3179-3184 - [c9]Ezzeldeen Elsayed, Ayman El-Badawy, Pablo Zometa:
Data-Driven Discovery of the Equations of Motion of Twin-Tailed Fighter Aircraft. ICSTCC 2024: 362-367 - 2023
- [c8]Pablo Zometa, Timm Faulwasser
:
Quantized Deep Path-following Control on a Microcontroller. ECC 2023: 1-6 - [i3]Pablo Zometa, Timm Faulwasser:
Quantized Deep Path-following Control on a Microcontroller. CoRR abs/2301.11909 (2023) - 2022
- [i2]Johannes Pohlodek, Bruno Morabito, Christian Schlauch, Pablo Zometa, Rolf Findeisen:
Flexible development and evaluation of machine-learning-supported optimal control and estimation methods via HILO-MPC. CoRR abs/2203.13671 (2022)
2010 – 2019
- 2018
- [j3]Sergio Lucia, Denis Navarro, Oscar Lucía, Pablo Zometa, Rolf Findeisen:
Optimized FPGA Implementation of Model Predictive Control for Embedded Systems Using High-Level Synthesis Tool. IEEE Trans. Ind. Informatics 14(1): 137-145 (2018) - 2017
- [b1]Juan Pablo Menendez Zometa:
Code generation for model predictive control of embedded systems. University of Magdeburg, Germany, 2017 - [j2]Timm Faulwasser, Tobias Weber, Pablo Zometa, Rolf Findeisen:
Implementation of Nonlinear Model Predictive Path-Following Control for an Industrial Robot. IEEE Trans. Control. Syst. Technol. 25(4): 1505-1511 (2017) - 2016
- [j1]Sergio Lucia, Markus J. Kögel, Pablo Zometa, Daniel E. Quevedo, Rolf Findeisen:
Predictive control, embedded cyberphysical systems and systems of systems - A perspective. Annu. Rev. Control. 41: 193-207 (2016) - [c7]Pablo Zometa, Hannes Heinemann, Sergio Lucia, Markus J. Kögel, Rolf Findeisen:
Efficient stochastic model predictive control for embedded systems based on second-order cone programs. ECC 2016: 166-171 - [c6]Gergely Takács, Pablo Zometa, Rolf Findeisen, Boris Rohal-Ilkiv:
Efficiency and performance of embedded model predictive control for active vibration attenuation. ECC 2016: 1334-1340 - 2015
- [c5]Sergio Lucia, Pablo Zometa, Markus J. Kögel, Rolf Findeisen:
Efficient stochastic model predictive control based on polynomial chaos expansions for embedded applications. CDC 2015: 3006-3012 - [i1]Timm Faulwasser, Tobias Weber, Juan Pablo Zometa, Rolf Findeisen:
Implementation of Nonlinear Model Predictive Path-Following Control for an Industrial Robot. CoRR abs/1506.09084 (2015) - 2013
- [c4]Timm Faulwasser, Janine Matschek, Pablo Zometa, Rolf Findeisen:
Predictive path-following control: Concept and implementation for an industrial robot. CCA 2013: 128-133 - [c3]Vinzenz Bargsten, Pablo Zometa, Rolf Findeisen:
Modeling, parameter identification and model-based control of a lightweight robotic manipulator. CCA 2013: 134-139 - [c2]Pablo Zometa, Markus J. Kögel, Rolf Findeisen:
μAO-MPC: A free code generation tool for embedded real-time linear model predictive control. ACC 2013: 5320-5325 - 2012
- [c1]Pablo Zometa, Markus J. Kögel, Timm Faulwasser, Rolf Findeisen:
Implementation aspects of model predictive control for embedded systems. ACC 2012: 1205-1210
Coauthor Index
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