Artikel dengan mandat akses publik - Ian R. ManchesterPelajari lebih lanjut
Tidak tersedia di mana pun: 8
Combined ILC and disturbance observer for the rejection of near-repetitive disturbances, with application to excavation
GJ Maeda, IR Manchester, DC Rye
IEEE Transactions on Control Systems Technology 23 (5), 1754-1769, 2015
Mandat: Australian Research Council
Recurrent equilibrium networks: Unconstrained learning of stable and robust dynamical models
M Revay, R Wang, IR Manchester
2021 60th IEEE Conference on Decision and Control (CDC), 2282-2287, 2021
Mandat: Australian Research Council
Contraction analysis of nonlinear noncausal iterative learning control
FH Kong, IR Manchester
Systems & Control Letters 136, 104599, 2020
Mandat: Australian Research Council
Design of multi-stimuli responsive hybrid pneumatic–magnetic soft actuator with novel channel integration
JE Lee, Y Sun, YC Sun, IR Manchester, HE Naguib
Applied Materials Today 29, 101681, 2022
Mandat: Natural Sciences and Engineering Research Council of Canada
Measurement of CSF dynamics with oscillating pressure infusion
K Andersson, IR Manchester, K Laurell, KG Cesarini, J Malm, A Eklund
Acta Neurologica Scandinavica 128 (1), 17-23, 2013
Mandat: Swedish Research Council
Robust Control of Dynamic Walking Robots Using Transverse H∞
F Fan, IR Manchester
2018 IEEE International Conference on Robotics and Automation (ICRA), 418-425, 2018
Mandat: Australian Research Council
System identification for clinical diagnosis of hydrocephalus
IR Manchester, K Andersson, J Malm, A Eklund
49th IEEE Conference on Decision and Control (CDC), 3391-3396, 2010
Mandat: Swedish Research Council
Unfalsified adaptive control with MPC candidates
S Cheong, IR Manchester
2014 American Control Conference, 2863-2868, 2014
Mandat: Australian Research Council
Tersedia di suatu tempat: 55
Control contraction metrics: Convex and intrinsic criteria for nonlinear feedback design
IR Manchester, JJE Slotine
IEEE Transactions on Automatic Control 62 (6), 3046-3053, 2017
Mandat: Australian Research Council
A Convex Parameterization of Robust Recurrent Neural Networks
M Revay, R Wang, IR Manchester
IEEE Control Systems Letters, 2020
Mandat: Australian Research Council
Robust Control Contraction Metrics: A Convex Approach to Nonlinear State-FeedbackControl
IR Manchester, JJE Slotine
IEEE Control Systems Letters 2 (3), 333-338, 2018
Mandat: Australian Research Council
Recurrent equilibrium networks: Flexible dynamic models with guaranteed stability and robustness
M Revay, R Wang, IR Manchester
IEEE Transactions on Automatic Control, 2023
Mandat: Australian Research Council
Maximum likelihood identification of stable linear dynamical systems
J Umenberger, J Wågberg, IR Manchester, TB Schön
Automatica 96, 280-292, 2018
Mandat: Australian Research Council, Swedish Research Council
Nonlinear stabilization via control contraction metrics: A pseudospectral approach for computing geodesics
K Leung, IR Manchester
2017 American Control Conference (ACC), 1284-1289, 2017
Mandat: Australian Research Council
Control contraction metrics and universal stabilizability
IR Manchester, JJE Slotine
arXiv preprint arXiv:1311.4625, 2013
Mandat: Australian Research Council
Direct parameterization of lipschitz-bounded deep networks
R Wang, I Manchester
International Conference on Machine Learning, 36093-36110, 2023
Mandat: Australian Research Council
Learning stable Koopman embeddings
F Fan, B Yi, D Rye, G Shi, IR Manchester
2022 American Control Conference (ACC), 2742-2747, 2022
Mandat: Australian Research Council
Specialized Interior Point Algorithm for Stable Nonlinear System Identification
J Umenberger, IR Manchester
IEEE Transactions on Automatic Control, 2018
Mandat: Australian Research Council
Reduced-order nonlinear observers via contraction analysis and convex optimization
B Yi, R Wang, IR Manchester
IEEE Transactions on Automatic Control 67 (8), 4045-4060, 2021
Mandat: Australian Research Council
Convex parameterizations and fidelity bounds for nonlinear identification and reduced-order modelling
MM Tobenkin, IR Manchester, A Megretski
IEEE Transactions on Automatic Control 62 (7), 3679-3686, 2017
Mandat: US National Science Foundation, Australian Research Council
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