Zobrazeno 1 - 10
of 307
pro vyhledávání: '"Markovsky Ivan"'
This paper introduces an online approach for identifying time-varying subspaces defined by linear dynamical systems, leveraging optimization on the Grassmannian manifold leading to the Grassmannian Recursive Algorithm for Tracking (GREAT) method. The
Externí odkaz:
http://arxiv.org/abs/2412.09052
We revisit the problem of predicting the output of an LTI system directly using offline input-output data (and without the use of a parametric model) in the behavioral setting. Existing works calculate the output predictions by projecting the recent
Externí odkaz:
http://arxiv.org/abs/2404.15098
This paper studies data-driven iterative learning control (ILC) for linear time-invariant (LTI) systems with unknown dynamics, output disturbances and input box-constraints. Our main contributions are: 1) using a non-parametric data-driven representa
Externí odkaz:
http://arxiv.org/abs/2312.14326
Publikováno v:
IEEE Transactions on Automatic Control, Volume 70 (2025), Issue 1 (January)
Non-parametric representations of dynamical systems based on the image of a Hankel matrix of data are extensively used for data-driven control. However, if samples of data are missing, obtaining such representations becomes a difficult task. By explo
Externí odkaz:
http://arxiv.org/abs/2307.11589
There is a growing interest in data-driven control of nonlinear systems over the last years. In contrast to related works, this paper takes a step back and aims to solve the output matching problem, a problem closely related to the reference tracking
Externí odkaz:
http://arxiv.org/abs/2302.12800
Publikováno v:
In Econometrics and Statistics July 2024 31:38-48
Autor:
Fazzi, Antonio, Markovsky, Ivan
We define and analyze the operations of addition and intersection of linear time-invariant systems in the behavioral setting, where systems are viewed as sets of trajectories rather than input-output maps. The classical definition of addition of inpu
Externí odkaz:
http://arxiv.org/abs/2107.01588
We discuss connections between sequential system identification and control for linear time-invariant systems, often termed indirect data-driven control, as well as a contemporary direct data-driven control approach seeking an optimal decision compat
Externí odkaz:
http://arxiv.org/abs/2101.01273