Modeling occupant behavior in buildings
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 …
actions (OPA) in buildings according to different purposes, available computational power …
3D printed electronics of non-contact ink writing techniques: status and promise
Non-contact ink writing techniques are a newly developed three-dimensional printing
technology to fabricate customized and flexible electronic devices, while dramatically …
technology to fabricate customized and flexible electronic devices, while dramatically …
[图书][B] Data-driven model-free controllers
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 …
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 …
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
Recently, machine learning has gained considerable attention in noncontact direct ink
writing because of its novel process modeling and optimization techniques. Unlike …
writing because of its novel process modeling and optimization techniques. Unlike …
[HTML][HTML] Data-driven predictive control in a stochastic setting: A unified framework
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 …
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
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 …
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
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 …
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
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 …
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 …
models?” Two terms need to be clarified: In this context, a model is understood as a …