Marcel Luzar

Orcid: 0000-0002-3491-4113

According to our database1, Marcel Luzar authored at least 12 papers between 2011 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2019
Sensor-Based Weightlifting Workout Assisting System Design and Its Practical Implementation.
J. Sensors, 2019

2018
Linear Parameter-Varying Two Rotor Aero-Dynamical System Modelling with State-Space Neural Network.
Proceedings of the Artificial Intelligence and Soft Computing, 2018

2016
Fault-tolerant control and diagnosis for a non-linear system with an Unknown Input Observer.
Proceedings of the 21st International Conference on Methods and Models in Automation and Robotics, 2016

Robust multi-model fault detection and isolation with a state-space neural network.
Proceedings of the 24th Mediterranean Conference on Control and Automation, 2016

LPV system modeling with SSNN toolbox.
Proceedings of the 2016 American Control Conference, 2016

2014
A robust fault-tolerant model predictive control for linear parameter-varying systems.
Proceedings of the 19th International Conference On Methods and Models in Automation and Robotics, 2014

Neural-Network Based Robust FTC: Application to Wind Turbines.
Proceedings of the Artificial Intelligence and Soft Computing, 2014

A LMI-based strategy for ℋ∞ fault estimation of non-linear systems: Application to the multi-tank system.
Proceedings of the 13th European Control Conference, 2014

Robust fault identification of a polytopic LPV system with neural network.
Proceedings of the 2014 IEEE International Symposium on Intelligent Control, 2014

2013
Robust H∞ actuator fault diagnosis with neural network.
Proceedings of the 18th International Conference on Methods & Models in Automation & Robotics, 2013

2012
Actuators and sensors fault diagnosis with dynamic, state-space neural networks.
Proceedings of the 17th International Conference on Methods & Models in Automation & Robotics, 2012

2011
An unscented Kalman filter approach to designing GMDH neural networks: Application to the tunnel furnace.
Proceedings of the 16th International Conference on Methods and Models in Automation and Robotics, 2011


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