Behavioral systems theory in data-driven analysis, signal processing, and control
I Markovsky, F Dörfler - Annual Reviews in Control, 2021 - Elsevier
The behavioral approach to systems theory, put forward 40 years ago by Jan C. Willems,
takes a representation-free perspective of a dynamical system as a set of trajectories. Till …
takes a representation-free perspective of a dynamical system as a set of trajectories. Till …
An overview of systems-theoretic guarantees in data-driven model predictive control
J Berberich, F Allgöwer - Annual Review of Control, Robotics …, 2024 - annualreviews.org
The development of control methods based on data has seen a surge of interest in recent
years. When applying data-driven controllers in real-world applications, providing theoretical …
years. When applying data-driven controllers in real-world applications, providing theoretical …
Data informativity: A new perspective on data-driven analysis and control
HJ Van Waarde, J Eising… - … on Automatic Control, 2020 - ieeexplore.ieee.org
The use of persistently exciting data has recently been popularized in the context of data-
driven analysis and control. Such data have been used to assess system-theoretic …
driven analysis and control. Such data have been used to assess system-theoretic …
From noisy data to feedback controllers: Nonconservative design via a matrix S-lemma
HJ van Waarde, MK Camlibel… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this article, we propose a new method to obtain feedback controllers of an unknown
dynamical system directly from noisy input/state data. The key ingredient of our design is a …
dynamical system directly from noisy input/state data. The key ingredient of our design is a …
Distributionally robust chance constrained data-enabled predictive control
In this article we study the problem of finite-time constrained optimal control of unknown
stochastic linear time-invariant (LTI) systems, which is the key ingredient of a predictive …
stochastic linear time-invariant (LTI) systems, which is the key ingredient of a predictive …
Willems' fundamental lemma for state-space systems and its extension to multiple datasets
HJ Van Waarde, C De Persis… - IEEE Control Systems …, 2020 - ieeexplore.ieee.org
Willems et al.'s fundamental lemma asserts that all trajectories of a linear system can be
obtained from a single given one, assuming that a persistency of excitation and a …
obtained from a single given one, assuming that a persistency of excitation and a …
Linear tracking MPC for nonlinear systems—Part II: The data-driven case
In this article, we present a novel data-driven model predictive control (MPC) approach to
control unknown nonlinear systems using only measured input–output data with closed-loop …
control unknown nonlinear systems using only measured input–output data with closed-loop …
Data-driven continuous-set predictive current control for synchronous motor drives
Optimization-based control strategies are an affirmed research topic in the area of electric
motor drives. These methods typically rely on the accurate parametric representation of …
motor drives. These methods typically rely on the accurate parametric representation of …
A trajectory-based framework for data-driven system analysis and control
J Berberich, F Allgöwer - 2020 European Control Conference …, 2020 - ieeexplore.ieee.org
The vector space of all input-output trajectories of a discrete-time linear time-invariant (LTI)
system is spanned by time-shifts of a single measured trajectory, given that the respective …
system is spanned by time-shifts of a single measured trajectory, given that the respective …
[HTML][HTML] Behavioral theory for stochastic systems? A data-driven journey from Willems to Wiener and back again
The fundamental lemma by Jan C. Willems and co-workers is deeply rooted in behavioral
systems theory and it has become one of the supporting pillars of the recent progress on …
systems theory and it has become one of the supporting pillars of the recent progress on …