M. H. Riva

Adaptive High-Gain Observer for Joint State and Parameter Estimation: A Comparison to Extended and Unscented Kalman Filter

T. Ortmaier, M. H. Riva, M. Dagen, 2014 .

ESTIMATION OF COVARIANCES FOR KALMAN FILTER TUNING USING AUTOCOVARIANCE METHOD WITH LANDWEBER ITERATION

Tobias Ortmaier, Matthias Dagen, Mauro Hernan Riva, 2013 .

Sensitivity-Based Adaptive SRUKF for State, Parameter, and Covariance Estimation on Mechatronic Systems

Tobias Ortmaier, Mark Wielitzka, Mauro Hernan Riva, 2018 .

Comparison of online-parameter estimation methods applied to a linear belt drive system

Matthias Dagen, Mauro Hernan Riva, Tobias Ortmaier, 2016, 2016 European Control Conference (ECC).

Cloud-based Plant and Process Monitoring based on a Modular and Scalable Data Analytics Infrastructure

Tobias Ortmaier, Mauro Hernan Riva, Christian Hansen, 2017 .

Sensitivity-based adaptive SRUKF for online state, parameter, and process covariance estimation

Tobias Ortmaier, Mark Wielitzka, Mauro Hernan Riva, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

Comparison of covariance estimation using autocovariance LS method and adaptive SRUKF

Tobias Ortmaier, Matthias Dagen, Mauro Hernan Riva, 2017, 2017 American Control Conference (ACC).

Adaptive Unscented Kalman Filter for online state, parameter, and process covariance estimation

Tobias Ortmaier, Matthias Dagen, Mauro Hernan Riva, 2016, 2016 American Control Conference (ACC).

Online parameter and process covariance estimation using adaptive EKF and SRCuKF approaches

Tobias Ortmaier, Matthias Dagen, Mauro Hernan Riva, 2015, 2015 IEEE Conference on Control Applications (CCA).