research
∙
04/06/2023
Deep Long-Short Term Memory networks: Stability properties and Experimental validation
The aim of this work is to investigate the use of Incrementally Input-to...
share
research
∙
08/08/2022
Towards lifelong learning of Recurrent Neural Networks for control design
This paper proposes a method for lifelong learning of Recurrent Neural N...
research
∙
03/30/2022
An Offset-Free Nonlinear MPC scheme for systems learned by Neural NARX models
This paper deals with the design of nonlinear MPC controllers that provi...
research
∙
11/26/2021
On Recurrent Neural Networks for learning-based control: recent results and ideas for future developments
This paper aims to discuss and analyze the potentialities of Recurrent N...
research
∙
08/10/2021
Recurrent neural network-based Internal Model Control of unknown nonlinear stable systems
Owing to their superior modeling capabilities, gated Recurrent Neural Ne...
research
∙
03/03/2021
Nonlinear MPC for Offset-Free Tracking of systems learned by GRU Neural Networks
The use of Recurrent Neural Networks (RNNs) for system identification ha...
research
∙
11/13/2020
