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 …

Behavioral systems theory decouples the behavior of a system from its representation. A key
result is that, under a persistency of excitation condition, the image of a Hankel matrix …

Golden jackal optimization (GJO) is inspired by the cooperative attacking behavior of golden
jackals and mainly simulates searching for prey, stalking and enclosing prey, and pouncing …

This letter presents a new experiment design method for data-driven modeling and control.
The idea is to select inputs online (using past input/output data), leading to desirable rank …

This paper contrasts recursive state space models and direct multi-step predictors for linear
predictive control. We provide a tutorial exposition for both model structures to solve the …

In a direct data-driven approach, this paper studies the property identification (ID) problem to
analyze whether an unknown linear system has a property of interest, eg, stabilizability and …

As we transition toward the deployment of data-driven controllers for black-box
cyberphysical systems, complying with hard safety constraints becomes a primary concern …

In this paper, we propose variations of Willems' fundamental lemma that utilize second-order
moments such as correlation functions in the time domain and power spectra in the …

The paper deals with the problem of designing informative input trajectories for data-driven
simulation. First, the excitation requirements in the case of noise-free data are discussed …

Recent work in data-driven control has revived behavioral theory to perform a variety of
complex control tasks, by directly plugging libraries of past input-output trajectories into …