This paper reviews stochastic system identification methods that have been used to estimate
the modal parameters of vibrating structures in operational conditions. It is found that many …

The difficulty of achieving controlled input has led to the development of new output-only
structural health monitoring (SHM) approaches. Without measuring the input or assuming a …

Two noniterative subspace-based algorithms which identify linear, time-invariant MIMO
(multi-input/multioutput) systems from frequency response data are presented. The …

ABSTRACT The Least-Squares Complex Frequency-domain (LSCF) estimator can be
viewed as a frequency-domain implementation of the well-known Least-Squares Complex …

The paper gives a survey of errors-in-variables methods in system identification.
Background and motivation are given, and examples illustrate why the identification problem …

The small-signal stability of interconnected converter systems can be tackled by the
impedance-based analysis method, where the Bode plots of the individual impedances …

This paper studies a class of partially observed Linear Quadratic Gaussian (LQG) problems
with unknown dynamics. We establish an end-to-end sample complexity bound on learning …

Decoupling or non-interactive control has attracted considerable research attention since
the 1960s when control engineers started to deal with multivariable systems. The theory and …

System identification is a well-established field. It is concerned with the determination of
particular models for systems that are intended for a certain purpose such as control …

The interactions between input/output variables are a common phenomenon and the main
obstacle encountered in the design of multi-loop controllers for interacting multivariable …