Model validation provides a useful means of assessing the ability of a model to account for a specific experimental observation, and has application to modeling, identification and fault detection. Prior theoretical and application work in the area of model validation for robust control models focused on linear fractional models. In this paper we discuss the extension of these methods to certain classes of nonlinear models. The Moore-Greitzer model of rotating stall is used as a simple example to illustrate the underlying ideas.ISSN:0170-8643ISSN:1610-741
In this paper, we illustrate our new results on model validation for control and controller validati...
Empirical modelling often aims for the simplest model consistent with the data. A new technique is p...
The paper summarizes some results of nonlinear system modelling and identification. Connectionswith ...
This paper investigates the use of robust control perturbation models for describing nonlinear syste...
It is well known that nonlinear modelling is a very hard task. First, the model selection is problem...
This paper presents a nonlinear formulation of the Moore-Greitzer rotating stall model that is suita...
The analysis of parameterised nonlinear models is considered. In particular the emphasis is on model...
Abstract—Deterministic approaches to model validation for robust control are investigated. In common...
The need for validated nonlinear helicopter models and methods to validate these models directly is ...
Model validation is a means of assessing model quality with respect to experimental data. In a robus...
AbstractThe enterprise of system modelling is comprised of two tasks: the model specification and th...
Ball and plate balancing control systems are commonly studied due to the complex dynamics associated...
Model validation provides a useful means of assessing the ability of a model to account for a specif...
Linear regression metamodels have been widely used to explain the behavior of computer simulation mo...
The aim of this paper is to study the validation of a model for non-linear systems. It evaluates the...
In this paper, we illustrate our new results on model validation for control and controller validati...
Empirical modelling often aims for the simplest model consistent with the data. A new technique is p...
The paper summarizes some results of nonlinear system modelling and identification. Connectionswith ...
This paper investigates the use of robust control perturbation models for describing nonlinear syste...
It is well known that nonlinear modelling is a very hard task. First, the model selection is problem...
This paper presents a nonlinear formulation of the Moore-Greitzer rotating stall model that is suita...
The analysis of parameterised nonlinear models is considered. In particular the emphasis is on model...
Abstract—Deterministic approaches to model validation for robust control are investigated. In common...
The need for validated nonlinear helicopter models and methods to validate these models directly is ...
Model validation is a means of assessing model quality with respect to experimental data. In a robus...
AbstractThe enterprise of system modelling is comprised of two tasks: the model specification and th...
Ball and plate balancing control systems are commonly studied due to the complex dynamics associated...
Model validation provides a useful means of assessing the ability of a model to account for a specif...
Linear regression metamodels have been widely used to explain the behavior of computer simulation mo...
The aim of this paper is to study the validation of a model for non-linear systems. It evaluates the...
In this paper, we illustrate our new results on model validation for control and controller validati...
Empirical modelling often aims for the simplest model consistent with the data. A new technique is p...
The paper summarizes some results of nonlinear system modelling and identification. Connectionswith ...