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Control Oriented System Identification: A Worst-case /Deterministic

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The article was published on 1991-01-01 and is currently open access. It has received 446 citations till now. The article focuses on the topics: System identification.

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Citations
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Journal ArticleDOI

Subspace-based multivariable system identification from frequency response data

TL;DR: Two noniterative subspace-based algorithms which identify linear, time-invariant MIMO (multi-input/multioutput) systems from frequency response data are presented.
Journal ArticleDOI

On the Sample Complexity of the Linear Quadratic Regulator

TL;DR: This paper proposes a multi-stage procedure that estimates a model from a few experimental trials, estimates the error in that model with respect to the truth, and then designs a controller using both the model and uncertainty estimate, and provides end-to-end bounds on the relative error in control cost.
Journal ArticleDOI

Identification and control—closed-loop issues

TL;DR: An overview is given of some current research activities on the design of high-performance controllers for plants with uncertain dynamics, based on approximate identification and model-based control design, in dealing with the interplay between system identification and robust control design.
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A time-domain approach to model validation

TL;DR: This work uses time-domain input-output data to validate uncertainty models and develops algorithms that are computationally tractable and reduce to (generally nondifferentiable) convex feasibility problems or to linear programming problems.
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Model validation: a connection between robust control and identification

TL;DR: The model validation problem addressed is: given experimental data and a model with both additive noise and norm-bounded perturbations, is it possible that the model could produce the observed input-output data?
References
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Book

System Identification: Theory for the User

Lennart Ljung
TL;DR: Das Buch behandelt die Systemidentifizierung in dem theoretischen Bereich, der direkte Auswirkungen auf Verstaendnis and praktische Anwendung der verschiedenen Verfahren zur IdentifIZierung hat.
Book

Spline Functions: Basic Theory

TL;DR: The material covered provides the reader with the necessary tools for understanding the many applications of splines in such diverse areas as approximation theory, computer-aided geometric design, curve and surface design and fitting, image processing, numerical solution of differential equations, and increasingly in business and the biosciences.
Book

Feedback Systems: Input-output Properties

TL;DR: In this paper, the Bellman-Gronwall Lemma has been applied to the small gain theorem in the context of linear systems and convolutional neural networks, and it has been shown that it can be applied to linear systems.
Book

Analytic function theory

Einar Hille
Journal ArticleDOI

Analytic properties of schmidt pairs for a hankel operator and the generalized schur-takagi problem

TL;DR: In this paper, a study of infinite Hankel matrices and approximation problems connected with them is presented, with a focus on the problem of finding the optimal solution to a given problem.
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