Results 271 to 280 of about 2,446,518 (308)
Some of the next articles are maybe not open access.
2017
The state space model is a very general model, mostly used to specify structural time-series models. Structural time-series models explicitly specify trends and seasonality along with other relevant influences. Under the classical Box-Jenkins time-series approach, in contrast, trends and seasonal influences are removed before estimating the core model.
openaire +2 more sources
The state space model is a very general model, mostly used to specify structural time-series models. Structural time-series models explicitly specify trends and seasonality along with other relevant influences. Under the classical Box-Jenkins time-series approach, in contrast, trends and seasonal influences are removed before estimating the core model.
openaire +2 more sources
2016
In this chapter, the state space model is thoroughly discussed. After defining the general state space model, the Kalman filter is derived. The square root covariance and the information filter are described. The topics of likelihood evaluation, forecasting, smoothing and covariance-based filters are discussed. Markov processes and the backwards Kalman
openaire +1 more source
In this chapter, the state space model is thoroughly discussed. After defining the general state space model, the Kalman filter is derived. The square root covariance and the information filter are described. The topics of likelihood evaluation, forecasting, smoothing and covariance-based filters are discussed. Markov processes and the backwards Kalman
openaire +1 more source
A new online modelling method for aircraft engine state space model
Chinese Journal of Aeronautics, 2020Shuwei Pang, Qiuhong Li
exaly
Temperature Control of Industrial Coke Furnace Using Novel State Space Model Predictive Control
IEEE Transactions on Industrial Informatics, 2014Ridong Zhang, Anke Xue, Furong Gao
exaly
An improved model predictive control approach based on extended non-minimal state space formulation
Journal of Process Control, 2011Ridong Zhang, Anke Xue
exaly