3 papers
eess.SY2022
Fast and Optimal Adaptive Tracking Control: A Novel Meta-Reinforcement Learning via Conditional Generative Adversarial Net
Mohammad Mahmoudi, Nasser Sadati
The control of nonlinear systems with unknown dynamics has been a significant field of research for many years. This paper presents a novel data-driven optimal adaptive control str…
eess.SY2022
Data Driven Safe Gain-Scheduling Control
Amir Modares, Nasser Sadati, Hamidreza Modares
Data-based safe gain-scheduling controllers are presented for discrete-time linear parameter-varying systems (LPV) with polytopic models. First, -contractivity conditions are pr…
eess.SY2020
CASU2Net: Cascaded Unification Network by a Two-step Early Fusion for Fault Detection in Offshore Wind Turbines
Soorena Salari, Nasser Sadati
This paper presents a novel feature fusion-based deep learning model (called CASU2Net) for fault detection in offshore wind turbines. The proposed CASU2Net model benefits of a two-…