Juan I. Yuz

TL;DR: A recursive estimation algorithm for linear, continuous-time, slowly time-varying systems operating in closed loop, which consists in coupling linear filter approaches to handle the time-derivative, with closed-loop instrumental variable techniques to deal with measurement noise.

TL;DR: In this paper, a closed form expression for the squared H⊥2norm of a partial fraction expansion with repeated unstable poles was obtained. But the closed form result was not applicable to the case of repeated stable poles in the plant model.

TL;DR: In this article, a port-Hamiltonian fluid-structure interaction model based on the interconnection methodology proposed by Lopes and Helie (2016) is presented. But the authors focus on the energy flux in the model and the interacting forces.

TL;DR: There is a specific relation between these sampling zeros of approximate sampled-data models and the smoothness of the continuous-time input to the plant generated by a hold device using spline interpolation.

TL;DR: It is demonstrated that the concept of relative degree plays a key role in obtaining higher order of accuracy for integration procedures compared to Euler-Maruyama integration, and it is shown that a particular state-space model, named STTS model, has an improved order-of- accuracy when compared to an Eucharistic approximation, at no significant extra computational cost.