This text deals with the most fundamental deficiency of modern theory control: the lack of an
easily applicable method for the design of low order controllers. It shows that solutions to …

Subspace-based methods for system identification have attracted much attention during the
past few years. This interest is due to the ability of providing accurate state-space models for …

Subspace-based methods for system identification have attracted much attention during the
past few years. This interest is due to the ability of providing accurate state-space models for …

During a revisit to modal identification in the past three decades, an overview of the major
developments and issues in modal identification is motivated. A brief review on the progress …

This paper presents a data-based control approach to the tensegrity morphing airfoils. We
first collect the Markov parameters of the system based on the I/O tests. Then, using the …

The trigonometric moment problem is a classical moment problem with numerous
applications in mathematics, physics, and engineering. The rational covariance extension …

The authors characterize the set of covariances that a linear discrete-time plant with a
specified-order controller can have. The controllers that assign such covariances to any …

This paper presents the Frequency Domain Observability Range Space Extraction (FORSE)
identification algorithm. FORSE is a singular value decomposition based identification …

In the past few years various methods of identifying structural dynamics models from modal
testing data have appeared. This paper presents a comparison of four of these algorithms …

An observer-based q-Markov Covariance equivalent realization (QMC) formulation is
presented in the paper. It is shown that by inserting an observer in the input–output …