Adaptive control of SE (3) Hamiltonian dynamics with learned disturbance features
T Duong, N Atanasov - IEEE Control Systems Letters, 2022 - ieeexplore.ieee.org
Adaptive control is a critical component of reliable robot autonomy in rapidly changing
operational conditions. Adaptive control designs benefit from a disturbance model, which is …
operational conditions. Adaptive control designs benefit from a disturbance model, which is …
Adaptive Control of SE (3) Hamiltonian Dynamics with Learned Disturbance Features
T Duong, N Atanasov - arXiv preprint arXiv:2109.09974, 2021 - arxiv.org
Adaptive control is a critical component of reliable robot autonomy in rapidly changing
operational conditions. Adaptive control designs benefit from a disturbance model, which is …
operational conditions. Adaptive control designs benefit from a disturbance model, which is …
Adaptive Control of SE (3) Hamiltonian Dynamics with Learned Disturbance Features
T Duong, N Atanasov - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Adaptive control is a critical component of reliable robot autonomy in rapidly changing
operational conditions. Adaptive control designs benefit from a disturbance model, which is …
operational conditions. Adaptive control designs benefit from a disturbance model, which is …
[PDF][PDF] Adaptive Control of SE (3) Hamiltonian Dynamics With Learned Disturbance Features
T Duong, N Atanasov - IEEE Control Systems Letters, 2022 - par.nsf.gov
Adaptive control is a critical component of reliable robot autonomy in rapidly changing
operational conditions. Adaptive control designs benefit from a disturbance model, which is …
operational conditions. Adaptive control designs benefit from a disturbance model, which is …