Journal ArticleDOI
A time-domain approach to model validation
TLDR
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.Abstract:
In this paper we offer a novel approach to control-oriented model validation problems. The problem is to decide whether a postulated nominal model with bounded uncertainty is consistent with measured input-output data. Our approach directly uses time-domain input-output data to validate uncertainty models. The algorithms we develop are computationally tractable and reduce to (generally nondifferentiable) convex feasibility problems or to linear programming problems. In special cases, we give analytical solutions to these problems. >read more
Citations
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Book
Essentials of Robust Control
Kemin Zhou,John Doyle +1 more
TL;DR: In this article, the authors introduce linear algebraic Riccati Equations and linear systems with Ha spaces and balance model reduction, and Ha Loop Shaping, and Controller Reduction.
Journal ArticleDOI
The unfalsified control concept and learning
TL;DR: The theory complements model-based methods such as H/sup /spl infin//-robust control theory by providing a precise characterization of how the set of suitable controllers shrinks when new experimental data is found to be inconsistent with prior assumptions or earlier data.
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
From experiment design to closed-loop control
TL;DR: It is argued that a guiding principle should be to model as well as possible before any model or controller simplifications are made as this ensures the best statistical accuracy.
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.
References
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Book
System Identification: Theory for the User
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
Harmonic Analysis of Operators on Hilbert Space
TL;DR: In this article, the structure of operators of Class C 0.1 is discussed.Contractions and their Dilations, Geometrical and Spectral Properties of Dilations and Operator-Valued Analytic Functions are discussed.
Journal ArticleDOI
Generalized interpolation in
Journal ArticleDOI
Optimal estimation theory for dynamic systems with set membership uncertainty: an overview
Mario Milanese,Antonio Vicino +1 more
TL;DR: In this article, the main results of this theory are reviewed, with special attention to the most recent advances obtained in the case of componentwise bounds, where the uncertainty is described by an additive noise which is known only to have given integral (typically l 1 or l 2) or componentwise (l ∞) bounds.
BookDOI
The commutant lifting approach to interpolation problems
Ciprian Foias,Arthur E. Frazho +1 more
TL;DR: Inverse Scattering Algorithms for the Commutant Lifting Theorem as discussed by the authors have been proposed to solve the Caratheodory Interpolation Problem for Positive-Real Functions.