A unified systems analysis framework is presented, which includes conventional robustness analysis, model validation, and system identification as special cases and thus shows them to be instances of the same fundamental problem. A concrete version of this framework is developed for the linear case, based on a generalized structured singular value. This unification forms the basis for the use of common computational tools and and a more natural interplay between modeling, identification, and robustness analysis
The structured singular value mu has proved its usefulness in assessing the stability of a linear ti...
In the design of a robust control system, one needs a nominal model together with a quantitative bou...
Modern robust control synthesis techniques aim at providing robustness with respect to uncertainty i...
A unified systems analysis framework is presented, which includes conventional robustness analysis, ...
An alternative paradigm is considered for robustness analysis, where systems are described in implic...
Integrated modeling, identification, analysis, and design. The use of mathematical models to design ...
This book comprises a selection of papers that were first presented at the Robustness in Identificat...
In the design of a robust control system, one needs a nominal model together with a quantitative bou...
Some key concepts of strucred singular value theory for the stability and performance-robustness ana...
This paper begins to address the gap between the models used in robust control theory and those obta...
This textbook aims to provide a clear understanding of the various tools of analysis and design for ...
The paper considers the problem of estimating, from experimental data, real parameters for a model w...
This paper introduces a general and powerful framework for modeling and analysis of uncertain system...
The performance of robust controllers hinges on the underlying model set. The aim of the present pap...
This thesis addresses problems in robustness analysis and design of linear multivariable feedback sy...
The structured singular value mu has proved its usefulness in assessing the stability of a linear ti...
In the design of a robust control system, one needs a nominal model together with a quantitative bou...
Modern robust control synthesis techniques aim at providing robustness with respect to uncertainty i...
A unified systems analysis framework is presented, which includes conventional robustness analysis, ...
An alternative paradigm is considered for robustness analysis, where systems are described in implic...
Integrated modeling, identification, analysis, and design. The use of mathematical models to design ...
This book comprises a selection of papers that were first presented at the Robustness in Identificat...
In the design of a robust control system, one needs a nominal model together with a quantitative bou...
Some key concepts of strucred singular value theory for the stability and performance-robustness ana...
This paper begins to address the gap between the models used in robust control theory and those obta...
This textbook aims to provide a clear understanding of the various tools of analysis and design for ...
The paper considers the problem of estimating, from experimental data, real parameters for a model w...
This paper introduces a general and powerful framework for modeling and analysis of uncertain system...
The performance of robust controllers hinges on the underlying model set. The aim of the present pap...
This thesis addresses problems in robustness analysis and design of linear multivariable feedback sy...
The structured singular value mu has proved its usefulness in assessing the stability of a linear ti...
In the design of a robust control system, one needs a nominal model together with a quantitative bou...
Modern robust control synthesis techniques aim at providing robustness with respect to uncertainty i...