Topic
System identification
About: System identification is a research topic. Over the lifetime, 21291 publications have been published within this topic receiving 439142 citations.
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TL;DR: In this article, a joint optimization problem is posed which simultaneously solves the plant model estimate and control design, so as to optimize robust performance over the set of plants consistent with a specified experimental data set.
Abstract: A criterion for system identification is developed that is consistent with the intended use of the fitted model for modern robust control synthesis. Specifically, a joint optimization problem is posed which simultaneously solves the plant model estimate and control design, so as to optimize robust performance over the set of plants consistent with a specified experimental data set. >
94 citations
TL;DR: A method is derived to build a canonical state-space representation directly from data generated by a linear time-invariant system, which requires the A-matrix of any minimal realization of the system to be non-derogatory.
94 citations
TL;DR: This brief reports the experience with the identification of a nonlinear autoregressive with exogenous inputs (NARX) model for the PGT10B1 power plant gas turbine manufactured by General Electric-Nuovo Pignone.
Abstract: This brief reports the experience with the identification of a nonlinear autoregressive with exogenous inputs (NARX) model for the PGT10B1 power plant gas turbine manufactured by General Electric-Nuovo Pignone. Two operating conditions of the turbine are considered: isolated mode and nonisolated mode. The NARX model parameters are estimated iteratively with a Gram-Schmidt procedure, exploiting both forward and stepwise regression. Many indexes have been evaluated and compared in order to perform subset selection in the functional basis set and determine the structure of the nonlinear model. Various input signals (from narrow to broadband) for identification and validation have been considered.
94 citations
TL;DR: An overview of existing subspace-based techniques for system identification is given, grouped into the classes of realization-based and direct techniques.
94 citations
TL;DR: In this paper, the spectral element technique is utilized to analyze the dynamic behavior of axially symmetric multi-layered systems as a result of a transient force, and it is shown that the suitability of spectral element method to such a problem encompasses in its ability to model a whole layer without the need for subdivisions and hence enables efficient utilization of the method in iterative algorithms for solving inverse problems.
93 citations