Identification for a model for robust control design is more complicated than for the standard linear system transfer function model-the structure of the uncertainty as well as bounds on its size must be determined. It is especially unclear as to which parts of the system should be better modeled to improve robust performance. This paper addresses this question through some new tools, the μ-sensitivities
Introduction: The sensitivity function, defined as the closed-loop transfer function from the exogen...
Introduction: The sensitivity function, defined as the closed-loop transfer function from the exogen...
Introduction: The sensitivity function, defined as the closed-loop transfer function from the exogen...
Identification for a model for robust control design is more complicated than for the standard linea...
Identification for a model for robust control design is more complicated than for the standard linea...
The performance of robust controllers hinges on the underlying model set. The aim of the present pap...
The performance of robust controllers hinges on the underlying model set. The aim of the present pap...
The performance of robust controllers hinges on the underlying model set. The aim of the present pap...
The performance of robust controllers hinges on the underlying model set. The aim of the present pap...
The performance of robust controllers hinges on the underlying model set. The aim of the present pap...
The paper considers the problem of estimating, from experimental data, real parameters for a model w...
The performance of robust controllers hinges on the underlying model set. The aim of the present pap...
The paper considers the problem of estimating, from experimental data, real parameters for a model w...
In the design of a robust control system, one needs a nominal model together with a quantitative bou...
Introduction: The sensitivity function, defined as the closed-loop transfer function from the exogen...
Introduction: The sensitivity function, defined as the closed-loop transfer function from the exogen...
Introduction: The sensitivity function, defined as the closed-loop transfer function from the exogen...
Introduction: The sensitivity function, defined as the closed-loop transfer function from the exogen...
Identification for a model for robust control design is more complicated than for the standard linea...
Identification for a model for robust control design is more complicated than for the standard linea...
The performance of robust controllers hinges on the underlying model set. The aim of the present pap...
The performance of robust controllers hinges on the underlying model set. The aim of the present pap...
The performance of robust controllers hinges on the underlying model set. The aim of the present pap...
The performance of robust controllers hinges on the underlying model set. The aim of the present pap...
The performance of robust controllers hinges on the underlying model set. The aim of the present pap...
The paper considers the problem of estimating, from experimental data, real parameters for a model w...
The performance of robust controllers hinges on the underlying model set. The aim of the present pap...
The paper considers the problem of estimating, from experimental data, real parameters for a model w...
In the design of a robust control system, one needs a nominal model together with a quantitative bou...
Introduction: The sensitivity function, defined as the closed-loop transfer function from the exogen...
Introduction: The sensitivity function, defined as the closed-loop transfer function from the exogen...
Introduction: The sensitivity function, defined as the closed-loop transfer function from the exogen...
Introduction: The sensitivity function, defined as the closed-loop transfer function from the exogen...