Modeling occupant behavior in buildings

S Carlucci, M De Simone, SK Firth, MB Kjærgaard… - Building and …, 2020 - Elsevier
In the last four decades several methods have been used to model occupants' presence and
actions (OPA) in buildings according to different purposes, available computational power …

3D printed electronics of non-contact ink writing techniques: status and promise

H Zhang, SK Moon, TH Ngo - International Journal of Precision …, 2020 - Springer
Non-contact ink writing techniques are a newly developed three-dimensional printing
technology to fabricate customized and flexible electronic devices, while dramatically …

[图书][B] Data-driven model-free controllers

RE Precup, RC Roman, A Safaei - 2021 - taylorfrancis.com
This book categorizes the wide area of data-driven model-free controllers, reveals the exact
benefits of such controllers, gives the in-depth theory and mathematical proofs behind them …

Advanced motion control for precision mechatronics: Control, identification, and learning of complex systems

T Oomen - IEEJ Journal of Industry Applications, 2018 - jstage.jst.go.jp
Manufacturing equipment and scientific instruments, including wafer scanners, printers,
microscopes, and medical imaging scanners, require accurate and fast motions. An increase …

Reviews on machine learning approaches for process optimization in noncontact direct ink writing

H Zhang, SK Moon - ACS Applied Materials & Interfaces, 2021 - ACS Publications
Recently, machine learning has gained considerable attention in noncontact direct ink
writing because of its novel process modeling and optimization techniques. Unlike …

[HTML][HTML] Data-driven predictive control in a stochastic setting: A unified framework

V Breschi, A Chiuso, S Formentin - Automatica, 2023 - Elsevier
Data-driven predictive control (DDPC) has been recently proposed as an effective
alternative to traditional model-predictive control (MPC) for its unique features of being time …

Deterministic continuous-time Virtual Reference Feedback Tuning (VRFT) with application to PID design

S Formentin, MC Campi, A Carè, SM Savaresi - Systems & Control Letters, 2019 - Elsevier
In this paper, we introduce a data-driven control design method that does not rely on a
model of the plant. The method is inspired by the Virtual Reference Feedback Tuning …

Data-driven fixed-structure frequency-based H2 and H∞ controller design

P Schuchert, V Gupta, A Karimi - Automatica, 2024 - Elsevier
The frequency response data of a system is used to design fixed-structure controllers for the
ℋ 2 and ℋ∞ synthesis problem. The minimization of the two and infinity norm of the transfer …

The scenario approach: A tool at the service of data-driven decision making

MC Campi, A Carè, S Garatti - Annual Reviews in Control, 2021 - Elsevier
In the eyes of many control scientists, the theory of the scenario approach is a tool for
determining the sample size in certain randomized control-design methods, where an …

Data-driven control: Part two of two: Hot take: Why not go with models?

F Dörfler - IEEE Control Systems Magazine, 2023 - ieeexplore.ieee.org
A recurring question that all authors of this special issue encounter is,“Why not go with
models?” Two terms need to be clarified: In this context, a model is understood as a …