This paper attempts to relate robust control and behavioral frameworks by incorporating structured uncertainty into the description of behavioral systems. Behavioral equations are expressed as linear fractional transformations (LFTs) on an uncertainty structure, and a method of interconnection is outlined. A method for obtaining input-output maps from LFT representations of behavioral systems is also presented. This extension of the behavioral framework is compatible with existing robust control methods, such as p analysis, which can be used to provide robustness tests in behaviors. A simple example is presented that illustrates some of the issues which arise in this extension
This textbook aims to provide a clear understanding of the various tools of analysis and design for ...
This paper introduces some new extensions of μ analysis for LTI systems with structured uncertainty ...
This report attempts to document the broad scope of issues that must be satisfactorily resolved befo...
This paper attempts to relate robust control and behavioral frameworks by incorporating structured u...
This paper introduces a general and powerful framework for modeling and analysis of uncertain system...
The paper proposes a measure of robust performance based on frequency domain experimental data that ...
This paper develops machinery for control of uncertain linear systems described in terms of linear f...
Given a nominal model, an integrated uncertainty model identification and mu-synthesis algorithm is ...
The main aim of this paper is to present and compare three approaches to uncertainty modeling and ro...
We present model reduction methods with guaranteed error bounds for systems represented by a Linear ...
A new methodology in which linear fractional transformation uncertainty bounds are directly construc...
This paper introduces a general and powerful framework for the analysis of uncertain systems, encomp...
The invited session on behaviors, modeling, and robust control reflects an emerging view that these ...
This paper reviews control system analysis and synthesis techniques for robust performance with stru...
The emphasis of this thesis is on the development of systematic methods for reducing the size and co...
This textbook aims to provide a clear understanding of the various tools of analysis and design for ...
This paper introduces some new extensions of μ analysis for LTI systems with structured uncertainty ...
This report attempts to document the broad scope of issues that must be satisfactorily resolved befo...
This paper attempts to relate robust control and behavioral frameworks by incorporating structured u...
This paper introduces a general and powerful framework for modeling and analysis of uncertain system...
The paper proposes a measure of robust performance based on frequency domain experimental data that ...
This paper develops machinery for control of uncertain linear systems described in terms of linear f...
Given a nominal model, an integrated uncertainty model identification and mu-synthesis algorithm is ...
The main aim of this paper is to present and compare three approaches to uncertainty modeling and ro...
We present model reduction methods with guaranteed error bounds for systems represented by a Linear ...
A new methodology in which linear fractional transformation uncertainty bounds are directly construc...
This paper introduces a general and powerful framework for the analysis of uncertain systems, encomp...
The invited session on behaviors, modeling, and robust control reflects an emerging view that these ...
This paper reviews control system analysis and synthesis techniques for robust performance with stru...
The emphasis of this thesis is on the development of systematic methods for reducing the size and co...
This textbook aims to provide a clear understanding of the various tools of analysis and design for ...
This paper introduces some new extensions of μ analysis for LTI systems with structured uncertainty ...
This report attempts to document the broad scope of issues that must be satisfactorily resolved befo...