Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Wencen Wu"'
Publikováno v:
Frontiers in Robotics and AI, Vol 10 (2023)
In this paper, a distributed cooperative filtering strategy for state estimation has been developed for mobile sensor networks in a spatial–temporal varying field modeled by the advection–diffusion equation. Sensors are organized into distributed
Externí odkaz:
https://doaj.org/article/5a32d451b5814cd483ceca792b18fe80
Publikováno v:
IEEE Transactions on Control Systems Technology. 31:527-542
Publikováno v:
Journal of Blockchain Research. 1:1-17
Publikováno v:
2022 IEEE International Conference on Service-Oriented System Engineering (SOSE).
Publikováno v:
2022 American Control Conference (ACC).
Publikováno v:
Robotica. 39:842-861
SUMMARYIn this article, we investigate the problem of parameter identification of spatial–temporal varying processes described by a general nonlinear partial differential equation and validate the feasibility and robustness of the proposed algorith
Autor:
Kunj J. Parikh, Wencen Wu
Publikováno v:
Volume 7: 17th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA).
In this work, we investigate the problem of level curve tracking in unknown scalar fields using a limited number of mobile robots. We design and implement a long short term memory (LSTM) enabled control strategy for a mobile sensor network to detect
Publikováno v:
CACRE
In this paper, we introduce the design and implementation of a low-cost, small-scale autonomous vehicle equipped with an on-board computer, a camera, a Lidar, and some other accessories. We implement various autonomous driving-related modules includi
Publikováno v:
IEEE Transactions on Automatic Control. 64:3439-3446
Distributed source seeking in a three-dimensional (3-D) environment without explicit estimation of the gradient of the field is challenging. Nevertheless, for a swarm of an arbitrary number of agents, we develop a strategy to perform a source seeking
Autor:
Sachin Guruswamy, Wencen Wu
Publikováno v:
CACRE
Level curve tracking in a spatial-temporal varying field is an important problem in many applications such as tracking and monitoring the propagation of a wildfire. In this paper, we investigate the level curve tracking problem using a collaborating