The problem of identification of linear continuous-time (CT) state–space (SS) models directly
from time-domain data is considered. Given multi-sine waves as excitation signals, this …

This paper proposes a technique for optimizing the power generated from stationary
stochastic vibratory disturbances, using a resonant energy harvester. Although the theory is …

Recent research has shown that when constrained to causality, the optimal feedback
controller for an ocean wave energy converter (WEC) subjected to stochastic waves can be …

In this paper, frequency-domain subspace-based algorithms are proposed to estimate
discrete-time cross-power spectral density (cross-PSD) and auto-power spectral density …

In the design of ocean wave energy converters, proper control design is essential to the
maximization of the power generation performance for the device. However, in realistic …

In this paper, we propose a method to transform a non-positive real transfer function matrix
into a positive real one. This problem is of engineering interest and arises when a linear time …

Subspace-based methods have been effectively used to estimate multi-input/multi-output,
discrete-time, linear-time-invariant systems from noisy spectrum samples. In these methods …

We consider feedback control design for a wave energy converter (WEC) for which the
power takeoff (PTO) system has a finite stroke limit. Stationary stochastic wave loading is …

In this paper, a regularized nuclear norm minimization-based subspace identification
algorithm is proposed to estimate discrete-time power spectra of multi-input/multi-out …

In this paper, we propose a subspace algorithm for the identification of linear-time-invariant
discrete-time systems with more outputs than inputs from measured power spectrum data …