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Items where Author is "Kim, E"
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Number of items: 10.
Article
Kim, E ORCID: 0000-0003-3543-0484, Fan, S ORCID: 0000-0002-1865-9730 and Bose, N ORCID: 0000-0002-6444-0756 2020
, 'Current estimation and path following for an autonomous underwater vehicle (AUV) by using a high-gain observer based on an AUV dynamic model'
, International Journal of Control, Automation and Systems, vol. 19, no. 1
, pp. 478-490
, doi: https://doi.org/10.1007/s12555-019-0673-5.
Kim, E ORCID: 0000-0003-3543-0484, Fan, S and Bose, N ORCID: 0000-0002-6444-0756 2018
, 'Estimating water current velocities by using a model-based high-gain observer for an autonomous underwater vehicle'
, IEEE Access
, pp. 1-13
, doi: https://doi.org/10.1109/ACCESS.2018.2879469.
Kim, E ORCID: 0000-0003-3543-0484, Fan, S ORCID: 0000-0002-1865-9730 and Bose, N ORCID: 0000-0002-6444-0756 2018
, 'Estimating water current velocities by using a model-based high-gain observer for an autonomous underwater vehicle'
, IEEE Access, vol. 6
, pp. 70259-70271
, doi: https://doi.org/10.1109/ACCESS.2018.2879469.
Yang, W ORCID: 0000-0002-4885-2531, Fan, S, Xu, S ORCID: 0000-0003-0597-7040, King, P ORCID: 0000-0001-9436-0936, Kang, B ORCID: 0000-0003-3476-8838 and Kim, E ORCID: 0000-0003-3543-0484 2019
, 'Autonomous underwater vehicle navigation using sonar image matching based on convolutional neural network'
, IFAC PapersOnLine, vol. 52, no. 21
, pp. 156-162
, doi: https://doi.org/10.1016/j.ifacol.2019.12.300.
Yang, W, Fan, S, Xu, S ORCID: 0000-0003-0597-7040, King, P ORCID: 0000-0001-9436-0936, Kang, B ORCID: 0000-0003-3476-8838 and Kim, E 2019
, 'Autonomous underwater vehicle navigation using sonar image matching based on convolutional neural network'
, IFAC PapersOnLine, vol. 52, no. 21
, pp. 156-162
, doi: https://doi.org/10.1016/j.ifacol.2019.12.300.
Conference Publication
Kim, E ORCID: 0000-0003-3543-0484, Fan, S ORCID: 0000-0002-1865-9730 and Bose, N ORCID: 0000-0002-6444-0756 2018
, 'Autonomous underwater vehicle model-based high-gain observer for ocean current estimation', in
Proceedings of the 2018 IEEE OES Autonomous Underwater Vehicle Symposium
, IEEE, United States, pp. 1-6
, doi: https://doi.org/10.1109/AUV.2018.8729741.
Kim, E ORCID: 0000-0003-3543-0484, Fan, S ORCID: 0000-0002-1865-9730, Bose, N ORCID: 0000-0002-6444-0756 and Nguyen, HD ORCID: 0000-0003-0118-8597 2019
, 'Path following for an autonomous underwater vehicle (AUV) by using a high-gain observer based on an AUV dynamic model', in A Kim (ed.),
IFAC-PapersOnLine, 52 (21): Proceedings of the 12th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles (CAMS 2019)
, Elsevier, pp. 218-223
, doi: https://doi.org/10.1016/j.ifacol.2019.12.310.
Lim, HS ORCID: 0000-0002-0385-615X, Fan, S ORCID: 0000-0002-1865-9730, Chin, CKH ORCID: 0000-0002-3070-731X, Chai, S ORCID: 0000-0001-5186-4456, Bose, N ORCID: 0000-0002-6444-0756 and Kim, E ORCID: 0000-0003-3543-0484 2019
, 'Constrained path planning of autonomous underwater vehicle using selectively-hybridized particle swarm optimization algorithms', in A Kim (ed.),
IFAC-PapersOnLine, 52 (21): Proceedings of the 12th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles (CAMS 2019)
, Elsevier, pp. 315-322
, doi: https://doi.org/10.1016/j.ifacol.2019.12.326.
Lim, HS ORCID: 0000-0002-0385-615X, Fan, S ORCID: 0000-0002-1865-9730, Chin, CKH ORCID: 0000-0002-3070-731X, Chai, S ORCID: 0000-0001-5186-4456, Bose, N ORCID: 0000-0002-6444-0756 and Kim, E 2019
, 'Constrained path planning of autonomous underwater vehicle using selectively-hybridized particle swarm optimization algorithms', in A Kim (ed.),
IFAC-PapersOnLine, 52 (21): Proceedings of the 12th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles (CAMS 2019)
, Elsevier, pp. 315-322
, doi: https://doi.org/10.1016/j.ifacol.2019.12.326.
Thesis
Kim, E ORCID: 0000-0003-3543-0484 2021
, 'Current estimation and path following for an autonomous underwater vehicle by using a model-based nonlinear observer', PhD thesis, University of Tasmania.
This list was generated on Thu Jun 1 02:09:00 2023 AEST.