On modified parameter estimators for identification and adaptive control. A unified framework and some new schemes
A key assumption in the development of system identification and adaptive control schemes
is the availability of a regression model which is linear in the unknown parameters (of the …
is the availability of a regression model which is linear in the unknown parameters (of the …
[HTML][HTML] Towards data-driven and data-based control of wave energy systems: Classification, overview, and critical assessment
Currently, a significant effort in the world research panorama is focused on finding efficient
solutions to a carbon-free energy supply, wave energy being one of the most promising …
solutions to a carbon-free energy supply, wave energy being one of the most promising …
Formulas for data-driven control: Stabilization, optimality, and robustness
C De Persis, P Tesi - IEEE Transactions on Automatic Control, 2019 - ieeexplore.ieee.org
In a paper by Willems et al., it was shown that persistently exciting data can be used to
represent the input-output behavior of a linear system. Based on this fundamental result, we …
represent the input-output behavior of a linear system. Based on this fundamental result, we …
Optimal control of wave energy systems considering nonlinear Froude–Krylov effects: control-oriented modelling and moment-based control
Motivated by the relevance of so-called nonlinear Froude–Krylov (FK) hydrodynamic effects
in the accurate dynamical description of wave energy converters (WECs) under controlled …
in the accurate dynamical description of wave energy converters (WECs) under controlled …
Nonlinear energy-maximizing optimal control of wave energy systems: A moment-based approach
Linear dynamics are virtually always assumed when designing optimal controllers for wave
energy converters (WECs), motivated by both their simplicity and computational …
energy converters (WECs), motivated by both their simplicity and computational …
Detection and mitigation of false data in cooperative DC microgrids with unknown constant power loads
The rapid development and implementation of distributed control algorithms for dc
microgrids has increased the vulnerability of this type of system to false data injection …
microgrids has increased the vulnerability of this type of system to false data injection …
[HTML][HTML] Data-driven model reduction by moment matching for linear and nonlinear systems
Abstract Theory and methods to obtain reduced order models by moment matching from
input/output data are presented. Algorithms for the estimation of the moments of linear and …
input/output data are presented. Algorithms for the estimation of the moments of linear and …
Energy-maximising control of wave energy converters using a moment-domain representation
Abstract Wave Energy Converters (WECs) have to be controlled to ensure maximum energy
extraction from waves while considering, at the same time, physical constraints on the …
extraction from waves while considering, at the same time, physical constraints on the …
[HTML][HTML] Experimental assessment and validation of energy-maximising moment-based optimal control for a prototype wave energy converter
In recent years, a framework for control of wave energy converters (WECs), termed moment-
based control, has been developed within the wave energy conversion literature, exhibiting …
based control, has been developed within the wave energy conversion literature, exhibiting …
[HTML][HTML] A “fundamental lemma” for continuous-time systems, with applications to data-driven simulation
We are given one input–output (io) trajectory (u, y) produced by a linear, continuous time-
invariant system, and we compute its Chebyshev polynomial series representation. We …
invariant system, and we compute its Chebyshev polynomial series representation. We …