Nonlinear system identification is a vast research field, today attracting a great deal of
attention in the structural dynamics community. Ten years ago, an MSSP paper reviewing …

Operational modal analysis deals with the estimation of modal parameters from vibration
data obtained in operational rather than laboratory conditions. This paper extensively …

Unmanned Aerial Vehicles (UAVs) offer a wide range of interesting military and commercial
applications at reduced costs. A couple of their more interesting characteristics include: They …

A quadrotor is a rotorcraft capable of hover, forward flight, and VTOL and is emerging as a
fundamental research and application platform at present with flexibility, adaptability, and …

Deterministic Learning Theory for Identification, Recognition, and Control presents a unified
conceptual framework for knowledge acquisition, representation, and knowledge utilization …

Designing a state estimator for a linear state-space model requires knowledge of the
characteristics of the disturbances entering the states and the measurements. In [Odelson …

This paper examines damping ratios in tall buildings in California inferred from motions
recorded in instrumented buildings during earthquake motions. A total of 41 measured …

Abstract Models of inverse systems are commonly encountered in control, eg, feedforward.
The aim of this paper is to address several aspects in identification of inverse models …

We propose a new system identification method, called Sign-Perturbed Sums (SPS), for
constructing non-asymptotic confidence regions under mild statistical assumptions. SPS is …

Abstract System identification is the art and science of building mathematical models of
dynamic systems from observed input-output data. It can be seen as the interface between …