Zobrazeno 1 - 10
of 414
pro vyhledávání: '"Radu-Emil PRECUP"'
Autor:
Alexandru Topîrceanu, Radu-Emil Precup
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract Computational models for large, resurgent epidemics are recognized as a crucial tool for predicting the spread of infectious diseases. It is widely agreed, that such models can be augmented with realistic multiscale population models and by
Externí odkaz:
https://doaj.org/article/ec6924d5ab8f4b91a2a9e41c10f0bd16
Publikováno v:
Facta Universitatis. Series: Mechanical Engineering, Vol 17, Iss 3, Pp 285-308 (2019)
The aim of this paper is to present several approaches by which technology can assist medical decision-making. This is an essential, but also a difficult activity, which implies a large number of medical and technical aspects. But, more important, it
Externí odkaz:
https://doaj.org/article/61b2b73f82b44c339d7e960815f8f2a9
Autor:
Radu-Emil Precup, Radu-Codrut David, Raul-Cristian Roman, Emil M. Petriu, Alexandra-Iulia Szedlak-Stinean
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 14, Iss 1 (2021)
This paper suggests five new contributions with respect to the state-of-the-art. First, the optimal tuning of cost-effective fuzzy controllers represented by Takagi–Sugeno–Kang proportional-integral fuzzy controllers (TSK PI-FCs) is carried out u
Externí odkaz:
https://doaj.org/article/2a45e6294daa45fba513046970c682c1
Autor:
Radu-Emil Precup, Stefan Preitl, Claudia-Adina Bojan-Dragos, Mircea-Bogdan Radac, Alexandra-Iulia Szedlak-Stinean, Elena-Lorena Hedrea, Raul-Cristian Roman
Publikováno v:
Facta Universitatis. Series: Mechanical Engineering, Vol 15, Iss 2, Pp 231-244 (2017)
This paper presents theoretical and application results concerning the development of evolving Takagi-Sugeno-Kang fuzzy models for two dynamic systems, which will be viewed as controlled processes, in the field of automotive applications. The two dyn
Externí odkaz:
https://doaj.org/article/fc8fa057d1a946cd87e0a6060f92b9a5
Data-Driven Model-Free Tracking Reinforcement Learning Control with VRFT-based Adaptive Actor-Critic
Autor:
Mircea-Bogdan Radac, Radu-Emil Precup
Publikováno v:
Applied Sciences, Vol 9, Iss 9, p 1807 (2019)
This paper proposes a neural network (NN)-based control scheme in an Adaptive Actor-Critic (AAC) learning framework designed for output reference model tracking, as a representative deep-learning application. The control learning scheme is model-free
Externí odkaz:
https://doaj.org/article/f197138e8c184d399d1d0e4a0b4c3b97
Publikováno v:
Energies, Vol 12, Iss 8, p 1548 (2019)
In this paper a second-order data-driven Active Disturbance Rejection Control (ADRC) is merged with a proportional-derivative Takagi-Sugeno Fuzzy (PDTSF) logic controller, resulting in two new control structures referred to as second-order data-drive
Externí odkaz:
https://doaj.org/article/8d3e78c0f9ee4a3db3af029b62964998
Publikováno v:
Memoirs of the Scientific Sections of the Romanian Academy, Vol XXXVI, Pp 97-110 (2013)
This paper proposes a simple fuzzy control design for powertrain systems with three inertias. Considering four operating modes of the clutch, the piecewise affine state-space models offers an accurate characterization of the powertrain systems as con
Externí odkaz:
https://doaj.org/article/ce6db0503fb94801b1e6d37833194f09
Autor:
Stefan PREITL, Radu-Emil PRECUP
Publikováno v:
Analele Universităţii "Dunărea de Jos" Galaţi: Fascicula III, Electrotehnică, Electronică, Automatică, Informatică, Vol 2004, Iss 1, Pp 15-20 (2004)
The paper proposes a global stability analysis method dedicated to fuzzy control systems containing Mamdani PI-fuzzy controllers with output integration to control SISO linear / linearized plants. The method is expressed in terms of relatively simple
Externí odkaz:
https://doaj.org/article/81212ff3676a442ab3d4858ae464c88f
Publikováno v:
Machines, Vol 5, Iss 4, p 25 (2017)
This paper proposes the combination of two data-driven techniques, namely virtual reference feedback tuning (VRFT) and model-Free Control (MFC) in terms of the VRFT of MFC algorithms dedicated to servo systems. VRFT ensures the automatic optimal comp
Externí odkaz:
https://doaj.org/article/89f85d96125b4331bebdf7a44389df56
Autor:
Radu-Emil Precup, Radu-Codrut David, Alexandra-Iulia Szedlak-Stinean, Emil M. Petriu, Florin Dragan
Publikováno v:
Algorithms, Vol 10, Iss 2, p 68 (2017)
This paper proposes an easily understandable Grey Wolf Optimizer (GWO) applied to the optimal tuning of the parameters of Takagi-Sugeno proportional-integral fuzzy controllers (T-S PI-FCs). GWO is employed for solving optimization problems focused on
Externí odkaz:
https://doaj.org/article/6b8151cf277b4a1ea5ab2dcfa501924a