This paper describes nonlinear parameter estimation of non-smooth nonlinear device by using a feed-forward neural network (FFNN) embedded in a hybrid system modeling. The hybrid systems are modeled by the differential-algebraic- impulsive-switched (DAIS) structure. In a switched linear hybrid system, the FFNN is applied to identify full dynamics of an objective function J formed by the states. Moreover, the partial derivatives of function J with respect to the each state are approximated by the computation of the backpropagation through the FFNN. Then, this paper focuses on the FFNN based estimator for the non-smooth nonlinear dynamic behaviors due to saturation limiter of the power system stabilizer (PSS) in both a single machine infinite bus (SMIB) system and a multi-machine power system (MMPS).
|Title of host publication||Proceedings - IEEE INDIN 2008|
|Subtitle of host publication||6th IEEE International Conference on Industrial Informatics|
|Number of pages||6|
|Publication status||Published - 2008|
|Event||IEEE INDIN 2008: 6th IEEE International Conference on Industrial Informatics - Daejeon, Korea, Republic of|
Duration: 2008 Jul 13 → 2008 Jul 16
|Name||IEEE International Conference on Industrial Informatics (INDIN)|
|Other||IEEE INDIN 2008: 6th IEEE International Conference on Industrial Informatics|
|Country/Territory||Korea, Republic of|
|Period||08/7/13 → 08/7/16|
Bibliographical noteFunding Information:
The support of this effort through the Petroleum Institute and the Center for Environmental Energy Engineering (CEEE) at the University of Maryland is gratefully acknowledged.
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Information Systems