Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Raffaele Iervolino"'
Publikováno v:
IEEE Transactions on Control of Network Systems. 9:1068-1079
Heterogeneous bounded confidence opinion dynamics with an adaptation policy of the agents' confidence thresholds is considered. The strategy implemented by each agent consists of increasing his confidence thresholds when he has no active neighbor, th
We investigate sensor scheduling for remote estimation when multiple smart sensors monitor multiple stochastic dynamical systems. The sensors transmit their measurements to a remote estimator through a noisy wireless communication channel. Such a rem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::095dc8f982cdb720e817e1d7b7fef636
https://hdl.handle.net/11588/908352
https://hdl.handle.net/11588/908352
Publikováno v:
World Electric Vehicle Journal, Vol 11, Iss 2, p 40 (2020)
The smart grid concept enables demand-side management, including electric vehicles (EVs). Thus way, some ancillary services can be provided in order to improve the power system stability, reliability, and security. The high penetration level of renew
Externí odkaz:
https://doaj.org/article/ed82289f93a747a284c98444734312c5
Publikováno v:
IEEE Transactions on Automatic Control, 66(4), 1513-1528. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Asymptotic stability of continuous-time piecewise affine systems defined over a polyhedral partition of the state space, with possible discontinuous vector field on the boundaries, is considered. In the first part of the paper the feasible Filippov s
Publikováno v:
IEEE/CAA Journal of Automatica Sinica. 7:975-990
A stochastic resource allocation model, based on the principles of Markov decision processes ( MDPs ) , is proposed in this paper. In particular, a general-purpose framework is developed, which takes into account resource requests for bot
This letter presents an Approximate Dynamic Programming (ADP) least-squares based approach for solving optimal stopping problems with a large state space. By extending some previous work in the area of optimal stopping problems, it provides a framewo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::750216dfd5f2f8db4693926781d161ee
https://hdl.handle.net/11588/899405
https://hdl.handle.net/11588/899405
This paper presents and analyzes Reinforcement Learning (RL) based approaches to solve spacecraft control problems. Different application fields are considered, e.g., guidance, navigation and control systems for spacecraft landing on celestial bodies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3d0e141014379b40e9d97d081e866e7
https://hdl.handle.net/11588/908768
https://hdl.handle.net/11588/908768
Autor:
Raffaele Iervolino, Roberto Ambrosino
Publikováno v:
Automatica. 147:110681
In this paper, we analyse the convergence properties of the Dynamic Programming Value Iteration algorithm by exploiting the stability theory of discrete-time switched affine systems. More specifically, by formulating the Value Iteration algorithm as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bae424725c9648b99a58df9adbf4a62c
https://hdl.handle.net/11588/899408
https://hdl.handle.net/11588/899408