A comparison of methods for PK/PD parameter estimation.
β Scribed by Collins, D.A.; Forrast, A.
- Book ID
- 110019534
- Publisher
- Nature Publishing Group
- Year
- 1996
- Tongue
- English
- Weight
- 167 KB
- Volume
- 59
- Category
- Article
- ISSN
- 0009-9236
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Nine digital algorithms-five linear least-squares type, two stochastic approximation and two hill climbing-for estimating the parameters of discrete systems have been compared when applied to a second-order system having a stochastic input and output. Results are tabulated on the performance of the
Extended K&man Filter (EKF) and a Fultivariable Adaptive Estimator (MAE) have been applied to the estimation of state variables of a biotechnological process in batch and fedbatch operation. From the simulation-based comparison it appears that EKF leads to a better global estimation (biomass, substr