Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Edward L. Zhu"'
Publikováno v:
Structural Health Monitoring. 19:1340-1350
Acoustic emission signals are information rich and can be used to estimate the size and location of damage in structures. However, many existing algorithms may be deceived by indirectly propagated acoustic emission waves which are modulated by reflec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f73ecc0b9177a01b935b16f15ba3b56e
https://doi.org/10.1177/1475921719881642
https://doi.org/10.1177/1475921719881642
Publikováno v:
CDC
2020 59th IEEE Conference on Decision and Control (CDC)
2020 59th IEEE Conference on Decision and Control (CDC)
This paper presents a distributed learning model predictive control (DLMPC) scheme for distributed linear time invariant systems with coupled dynamics and state constraints. The proposed solution method is based on an online distributed optimization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0c5213d84e72755499bf111efb23a32
https://doi.org/10.1109/cdc42340.2020.9303820
https://doi.org/10.1109/cdc42340.2020.9303820
Publikováno v:
CDC
We present a decentralized minimum-time trajectory optimization scheme based on learning model predictive control for multi-agent systems with nonlinear decoupled dynamics and coupled state constraints. By performing the same task iteratively, data f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e54dff451193f4d4f13c0e8571dfb07
Publikováno v:
Structural Health Monitoring 2019.
Feature extraction from time-series data is required for condition monitoring of dynamic mechanical systems. However, conventional techniques based on the knowledge of a human expert are not reliable for large and multidimensional datasets. The consu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97d7cb6d03dd7575d81871fe0fab4e83
https://doi.org/10.12783/shm2019/32493
https://doi.org/10.12783/shm2019/32493
Robots with flexible spines based on tensegrity structures have potential advantages over traditional designs with rigid torsos. However, these robots can be difficult to control due to their high-dimensional nonlinear dynamics and actuator constrain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c5bc994a5945b175a727ab04baaaee4
Autor:
Adrian Agogino, Kimberley Fountain, Richard House, Ellande Tang, Alice M. Agogino, Kyunam Kim, Kevin Li, Lee-Huang Chen, Vytas SunSpiral, Erik Jung, Edward L. Zhu
Publikováno v:
Journal of Mechanisms and Robotics. 9
Author(s): CHEN, LEE-HUANG | Advisor(s): Agogino, Alice M. | Abstract: This dissertation presents the design, analysis and testing of various actuated modular spherical tensegrity robots for co-robotic and space exploration applications. Tensegrity s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d00cd2a2b930990d7d69fa79769faf6
https://doi.org/10.1115/1.4036014
https://doi.org/10.1115/1.4036014
Autor:
Osvaldo Romero, Franklin Rice, Brian Cera, Edward L. Zhu, Adrian K. Agogino, Lee-Huang Chen, Riley Edmunds, Antonia Bronars, Ellande Tang, Alice M. Agogino, Saunon R. Malekshahi
Publikováno v:
IROS
This paper presents a new teleoperated spherical tensegrity robot capable of performing locomotion on steep inclined surfaces. With a novel control scheme centered around the simultaneous actuation of multiple cables, the robot demonstrates robust cl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c908dea53197e61c591c30c191ed2301
Autor:
Lee-Huang Chen, Julien Despois, Mallory C. Daly, Kyunam Kim, Alice M. Agogino, Adrian Agogino, Edward L. Zhu, Vytas SunSpiral, Brian Cera
Publikováno v:
IROS
This work presents a 10 kg tensegrity ball probe that can quickly and precisely deliver a 1 kg payload over a 1 km distance on the Moon by combining cable-driven rolling and thruster-based hopping. Previous research has shown that cable-driven rollin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7057da9869879d4c3e93e82acbc2946
https://doi.org/10.1109/iros.2016.7759643
https://doi.org/10.1109/iros.2016.7759643