The principle of matching is a general concept of control system design that gives due regard for the environment in which the system is to operate. That is, given a set of permis-sible environments and a set of permissible systems, the task of the designer is to choose one environment and one system such that the two are well-matched. For the practical design of most engineering control systems, it is important to explicitly consider uncertainty within the system plant. Therefore, to design the control system within the framework of matching, practical robust matching conditions are required. This report provides su±cient conditions for a robust match for systems with plants modelled as having additive, multiplicative or factored uncertain...
This book comprises a selection of papers that were first presented at the Robustness in Identificat...
Abstract. Uncertainty, robustness, and flexibility are three of the issues widely viewed as central ...
Abstract: We will argue in this paper that the nature and magnitude of model uncertainty dictate the...
The appearance of uncertainties and disturbances often effects the characteristics of either linear ...
Simultaneous meeting of different-nature feedback control specifications requires special attention,...
This paper presents a reliability- and robustness-based formulation for robust control synthesis for...
Abstract: We will argue in this paper that the nature and magnitude of model uncertainty dictate the...
This paper considers the problem of stabilizing nonlinear uncertain systems. First, we define for no...
Controller design for continuous and discrete multivaruable systems whose models are unknown or high...
A control analysis and design framework is proposed for systems subject to paramet-ric uncertainty. ...
The performance of robust controllers hinges on the underlying model set. The aim of the present pap...
In the design of a robust control system, one needs a nominal model together with a quantitative bou...
A direct method to improve the reliability of a control system with uncertainties may present tremen...
Robustness in multi-variable control system design requires that the solution to the design problem ...
AbstractThe data of real-world optimization problems are usually uncertain, that is especially true ...
This book comprises a selection of papers that were first presented at the Robustness in Identificat...
Abstract. Uncertainty, robustness, and flexibility are three of the issues widely viewed as central ...
Abstract: We will argue in this paper that the nature and magnitude of model uncertainty dictate the...
The appearance of uncertainties and disturbances often effects the characteristics of either linear ...
Simultaneous meeting of different-nature feedback control specifications requires special attention,...
This paper presents a reliability- and robustness-based formulation for robust control synthesis for...
Abstract: We will argue in this paper that the nature and magnitude of model uncertainty dictate the...
This paper considers the problem of stabilizing nonlinear uncertain systems. First, we define for no...
Controller design for continuous and discrete multivaruable systems whose models are unknown or high...
A control analysis and design framework is proposed for systems subject to paramet-ric uncertainty. ...
The performance of robust controllers hinges on the underlying model set. The aim of the present pap...
In the design of a robust control system, one needs a nominal model together with a quantitative bou...
A direct method to improve the reliability of a control system with uncertainties may present tremen...
Robustness in multi-variable control system design requires that the solution to the design problem ...
AbstractThe data of real-world optimization problems are usually uncertain, that is especially true ...
This book comprises a selection of papers that were first presented at the Robustness in Identificat...
Abstract. Uncertainty, robustness, and flexibility are three of the issues widely viewed as central ...
Abstract: We will argue in this paper that the nature and magnitude of model uncertainty dictate the...