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Pablo Zometa
Pablo Zometa
German International University Berlin
Verified email at giu-berlin.de
Title
Cited by
Cited by
Year
Implementation of nonlinear model predictive path-following control for an industrial robot
T Faulwasser, T Weber, P Zometa, R Findeisen
IEEE Transactions on Control Systems Technology 25 (4), 1505-1511, 2016
1172016
Optimized FPGA implementation of model predictive control for embedded systems using high-level synthesis tool
S Lucia, D Navarro, O Lucia, P Zometa, R Findeisen
IEEE transactions on industrial informatics 14 (1), 137-145, 2017
812017
μAO-MPC: A free code generation tool for embedded real-time linear model predictive control
P Zometa, M Kögel, R Findeisen
2013 American Control Conference, 5320-5325, 2013
782013
Implementation aspects of model predictive control for embedded systems
P Zometa, M Kögel, T Faulwasser, R Findeisen
2012 American Control Conference (ACC), 1205-1210, 2012
762012
Predictive control, embedded cyberphysical systems and systems of systems–A perspective
S Lucia, M Kögel, P Zometa, DE Quevedo, R Findeisen
Annual Reviews in Control 41, 193-207, 2016
652016
Modeling, parameter identification and model-based control of a lightweight robotic manipulator
V Bargsten, P Zometa, R Findeisen
2013 IEEE international conference on control applications (CCA), 134-139, 2013
442013
Predictive path-following control: Concept and implementation for an industrial robot
T Faulwasser, J Matschek, P Zometa, R Findeisen
2013 IEEE International Conference on Control Applications (CCA), 128-133, 2013
292013
Force feedback and path following using predictive control: Concept and application to a lightweight robot
J Matschek, J Bethge, P Zometa, R Findeisen
IFAC-PapersOnLine 50 (1), 9827-9832, 2017
172017
Efficient stochastic model predictive control based on polynomial chaos expansions for embedded applications
S Lucia, P Zometa, M Kögel, R Findeisen
2015 54th IEEE Conference on Decision and Control (CDC), 3006-3012, 2015
172015
Efficiency and performance of embedded model predictive control for active vibration attenuation
G Takács, P Zometa, R Findeisen
2016 European Control Conference (ECC), 1334-1340, 2016
102016
On tailored model predictive control for low cost embedded systems with memory and computational power constraints
M Kögel, P Zometa, R Findeisen
Technical Report, 2012
82012
Embedded model predictive vibration control on low-end 8-bit microcontrollers via automatic code generation
G Takács, P Zometa, R Findeisen, B Rohal
ICSV 23: Proceedings of the 23rd International Congress on Sound and …, 2016
62016
Efficient stochastic model predictive control for embedded systems based on second-order cone programs
P Zometa, H Heinemann, S Lucia, M Kogel, R Findeisen
2016 European Control Conference (ECC), 166-171, 2016
42016
Predictive control in the era of networked control and communication-a perspective
S Lucia, M Kögel, P Zometa, DE Quevedo, R Findeisen
IFAC-PapersOnLine 48 (23), 322-331, 2015
22015
Code generation for model predictive control of embedded systems
JP Menendez Zometa
Dissertation, Magdeburg, Universität, 2017, 2017
12017
Flexible development and evaluation of machine-learning-supported optimal control and estimation methods via HILO-MPC
J Pohlodek, BM Schlauch, P Zometa, R Findeisen
arXiv preprint arXiv:2203.13671, 2022
2022
muAO-MPC Documentation
P Zometa, M Kögel, R Findeisen
2014
Implementation aspects for embedded systems
M Kögel, P Zometa, R Findeisen
51st IEEE Conference on Decision and Control: Post Conference Workshop …, 2012
2012
Post-Conference Workshops
M Diehl, S Gros, R Findeisen, M Kögel, P Zometa, M Mönnigmann, ...
μAO-MPC: Model Predictive Control
P Zometa, M Kögel, R Findeisen
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