Zobrazeno 1 - 10
of 505
pro vyhledávání: '"Alessandro Astolfi"'
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-20 (2022)
Abstract Methods on modelling the human brain as a Complex System have increased remarkably in the literature as researchers seek to understand the underlying foundations behind cognition, behaviour, and perception. Computational methods, especially
Externí odkaz:
https://doaj.org/article/8d519b7d071f46aca97b833282490dfd
Publikováno v:
IET Renewable Power Generation, Vol 15, Iss 14, Pp 3395-3408 (2021)
Abstract Successful commercialisation of wave energy technology inherently incorporates the concept of an array of wave energy converters (WECs). These devices, which constantly interact via hydrodynamic effects, require optimised control that can gu
Externí odkaz:
https://doaj.org/article/83272b20827e4af789310c04daac4829
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 10 (2013)
A stable walking motion requires effective gait balancing and robust posture correction algorithms. However, to develop and implement such intelligent motion algorithms remains a challenging task for researchers. Effective sensory feedback for stable
Externí odkaz:
https://doaj.org/article/fb7d4919704446ccbd3cc086b2337ecf
Publikováno v:
IEEE Transactions on Automatic Control. 68:2683-2698
The infinite-horizon optimal control problem for nonlinear systems is studied. In the context of model-based, iterative learning strategies we propose an alternative definition and construction of the temporal difference error arising in Policy Itera
Autor:
Kaiwen Chen, Alessandro Astolfi
Publikováno v:
IFAC-PapersOnLine. 56:13-18
Publikováno v:
IEEE Transactions on Automatic Control. 67:3678-3684
We consider optimal control problems for continuous-time systems with time-dependent dynamics, in which the time-dependence arises from the presence of a known exogenous signal. The problem has been elegantly solved in the case of linear input-affine
Autor:
Alessandro Astolfi
This book summarizes the main results achieved in a four-year European Project on nonlinear and adaptive control. The project involves leading researchers from top-notch institutions: Imperial College London (Prof A Astolfi), Lund University (Prof A
Publikováno v:
IEEE Transactions on Automatic Control. 67:2481-2488
A novel adaptive method to achieve both path following and formation moving along desired orbits in the presence of a spatio-temporal flowfield is presented. The flowfield is a spatio-temporal general flow with unknown time-varying parameters. The so
Publikováno v:
Automatica, 148
Reset controllers have the potential to enhance the performance of high-precision industrial motion systems. However, similar to other non-linear controllers, the stability analysis for these controllers is complex and often requires parametric model
Autor:
Ali Ahmadi Dastjerdi, Alessandro Astolfi, Niranjan Saikumar, Nima Karbasizadeh, Duarte Valerio, S. Hassan HosseinNia
Publikováno v:
IEEE Transactions on Automatic Control, 68(2)
This paper introduces a closed-loop frequency analysis tool for reset control systems. To begin with sufficient conditions for the existence of the steady-state response for a closed-loop system with a reset element and driven by periodic references
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69b9a6e1a27ed36c869fe70eb7735c80
http://resolver.tudelft.nl/uuid:0bbeabc6-db70-40e2-9d6c-1ce632b7638d
http://resolver.tudelft.nl/uuid:0bbeabc6-db70-40e2-9d6c-1ce632b7638d