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Mauro Hernán Riva
Mauro Hernán Riva
Institute of Mechatronic Systems - Leibniz Universität Hannover
Verified email at imes.uni-hannover.de - Homepage
Title
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Cited by
Year
Cloud-based plant and process monitoring based on a modular and scalable data analytics infrastructure
I Maurer, M Riva, C Hansen, T Ortmaier
Tagungsband des 2. Kongresses Montage Handhabung Industrieroboter, 33-42, 2017
72017
Adaptive Unscented Kalman Filter for online state, parameter, and process covariance estimation
MH Riva, M Dagen, T Ortmaier
2016 American Control Conference (ACC), 4513-4519, 2016
62016
Comparison of online-parameter estimation methods applied to a linear belt drive system
D Beckmann, MH Riva, M Dagen, T Ortmaier
2016 European Control Conference (ECC), 364-369, 2016
62016
Online parameter and process covariance estimation using adaptive EKF and SRCuKF approaches
MH Riva, D Beckmann, M Dagen, T Ortmaier
2015 IEEE Conference on Control Applications (CCA), 1203-1210, 2015
62015
Estimation of covariances for Kalman filter tuning using autocovariance method with Landweber iteration
MH Riva, JD Díaz, M Dagen, T Ortmaier
14th IASTED International Symposium on Intelligent Systems and Control (ISC …, 2013
62013
A multi-axial electromagnetically actuated punch for cutting micro-components
M Dagen, MH Riva, B Heimann, T Ortmaier, C Wager, R Krimm, ...
2012 American Control Conference (ACC), 4570-4575, 2012
62012
Adaptive High-Gain observer for joint state and parameter estimation: A comparison to Extended and Unscented Kalman filter
MH Riva, M Dagen, T Ortmaier
IFAC Proceedings Volumes 47 (3), 8558-8563, 2014
42014
Sensitivity-Based Adaptive SRUKF for State, Parameter, and Covariance Estimation on Mechatronic Systems
MH Riva, M Wielitzka, T Ortmaier
Kalman Filters: Theory for Advanced Applications; Intech Open: Rijeka …, 2018
32018
Accuracy of optical navigation systems for automatic head surgery: optical tracking versus optical coherence tomography
JD Díaz, MH Riva, O Majdani, T Ortmaier
Photonic Therapeutics and Diagnostics X 8926, 342-347, 2014
22014
Sensitivity-based adaptive SRUKF for online state, parameter, and process covariance estimation
MH Riva, M Wielitzka, T Ortmaier
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 1547-1553, 2017
12017
Comparison of Covariance Estimation Using Autocovariance LS Method and Adaptive SRUKF
MH Riva, M Dagen, T Ortmaier
American Control Conference (ACC), 5780-5786, 2017
12017
Normal distributions transform in multi-modal image registration of optical coherence tomography and computed tomography datasets
JD Díaz, MH Riva, O Majdani, T Ortmaier
Medical Imaging 2014: Image Processing 9034, 920-926, 2014
12014
Hochleistungsmagnetaktorik als Pressenantrieb
BA Behrens, R Krimm, S Teichrib, M Czora, T Cahyono, C Wager, ...
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