Author:
Greś Szymon,Döhler Michael,Dertimanis Vasilis,Chatzi Eleni
Publisher
Springer Nature Switzerland
Reference15 articles.
1. Åkesson BM, Jørgensen JB, Poulsen NK, Jørgensen SB (2008) A generalized autocovariance least-squares method for Kalman filter tuning. J Process Control 18(7):769–779
2. Arnold TJ, Rawlings JB (2018) Uniqueness conditions for ALS problems. IFAC-PapersOnLine 51(20):469–474. 6th IFAC Conference on Nonlinear Model Predictive Control NMPC 2018
3. Bavdekar VA, Deshpande AP, Patwardhan SC (2011) Identification of process and measurement noise covariance for state and parameter estimation using extended Kalman filter. J Process Control 21(4):585–601
4. Greś S, Döhler M, Dertimanis V, Chatzi E: Subspace-based noise covariance estimation for Kalman filter in virtual sensing applications. Mechanical Systems and Signal Processing, submitted
5. Matisko P, Havlena V (2013) Noise covariance estimation for Kalman filter tuning using Bayesian approach and Monte Carlo. Int J Adapt Control Signal Process 27(11):957–973