Computationally efficient model predictive control algorithms: a neural network approach

por Ławryńczuk, Maciej
Publicado 2014

Long Short-Term Memory Neural Networks for Modeling Dynamical Processes and Predictive Control: A Hybrid Physics-Informed Approach

por Zarzycki, Krzysztof, Ławryńczuk, Maciej
Publicado 2023

Fast Real-Time Model Predictive Control for a Ball-on-Plate Process

por Zarzycki, Krzysztof, Ławryńczuk, Maciej
Publicado 2021

LSTM and GRU Neural Networks as Models of Dynamical Processes Used in Predictive Control: A Comparison of Models Developed for Two Chemical Reactors

por Zarzycki, Krzysztof, Ławryńczuk, Maciej
Publicado 2021

Computationally Efficient Nonlinear Model Predictive Control Using the L(1) Cost-Function

por Ławryńczuk, Maciej, Nebeluk, Robert
Publicado 2021

Digital Twins in the Practice of High-Energy Physics Experiments: A Gas System for the Multipurpose Detector

por Chaber, Patryk, Domański, Paweł D., Dąbrowski, Daniel, Ławryńczuk, Maciej, Nebeluk, Robert, Plamowski, Sebastian, Zarzycki, Krzysztof
Publicado 2022

Forgery Cyber-Attack Supported by LSTM Neural Network: An Experimental Case Study

por Zarzycki, Krzysztof, Chaber, Patryk, Cabaj, Krzysztof, Ławryńczuk, Maciej, Marusak, Piotr, Nebeluk, Robert, Plamowski, Sebastian, Wojtulewicz, Andrzej
Publicado 2023