Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Amol Yerudkar"'
Publikováno v:
IEEE Access, Vol 8, Pp 199254-199265 (2020)
In this article, a reinforcement learning (RL)-based scalable technique is presented to control the probabilistic Boolean control networks (PBCNs). In particular, a double deep-Q network (DDQN) approach is firstly proposed to address the output track
Externí odkaz:
https://doaj.org/article/f2ee796bd12a47a2941bb0d6a6f53541
Publikováno v:
Sensors, Vol 22, Iss 19, p 7613 (2022)
The efficient handling of nitrogen has become a critical issue in modern agriculture, from a financial standpoint, as well as in regard to reducing the environmental impacts of using an excessive amount of nitrogen fertilizer. Manure compost is usefu
Externí odkaz:
https://doaj.org/article/f6563fd46cef4b2896d183385d49ebbe
Publikováno v:
Remote Sensing, Vol 14, Iss 7, p 1604 (2022)
This review focuses on the use of unmanned aerial vehicles (UAVs) in precision agriculture, and specifically, in precision viticulture (PV), and is intended to present a bibliometric analysis of their developments in the field. To this aim, a bibliom
Externí odkaz:
https://doaj.org/article/692d54461bd54d41befd13c5e0cac031
Publikováno v:
Information Sciences. 619:374-389
Autor:
Sushama Wagh, Carmen Del Vecchio, Amol Yerudkar, Sarang Sutavani, Sonam Kharade, Navdeep Singh
Publikováno v:
International Journal of Robust and Nonlinear Control. 33:4945-4966
Publikováno v:
ACC
In this letter, a model-free co-design scheme of triggering-driven controller is proposed for probabilistic Boolean control networks (PBCNs) in order to achieve feedback stabilization with minimum controller efforts. Specifically, $Q$ -learning ( $Q\
Publikováno v:
2022 IEEE 61st Conference on Decision and Control (CDC).
Publikováno v:
2022 American Control Conference (ACC).
Publikováno v:
IET Control Theory & Applications. 14:2339-2347
The disturbance decoupling problem (DDP) whereby the system outputs become insensitive to exogenous signals or disturbances plays a vital role in systems engineering and biological systems. Notably, many biological signalling systems with multiple ou