System identification of continuous-time model based on discrete-time data can be performed using a algorithm combining linear regression and LQG-balanced model reduction. The approach is applicable also to unstable system dynamics and it provides balanced models for optimal linear prediction and control.
|Title of host publication||Proceedings of the 15th IFAC world congress|
|Publication status||Published - 2002|
Subject classification (UKÄ)
- Control Engineering