Identifiability of Dynamic Systems Represented by Bond Graphs

Modeling and Simulation of Dynamic Systems Using Bond Graphs

Structural Identifiability of Dynamic Systems Biology Models

A powerful way of gaining insight into biological systems is by creating a nonlinear differential equation model, which usually contains many unknown parameters. Such a model is called structurally identifiable if it is possible to determine the values of its parameters from measurements of the model outputs. Structural identifiability is a prerequisite for parameter estimation, and should be a...

Modeling and Simulation of Hydraulic Systems by Bond Graphs

This paper describes a unified approach to modeling and simulation of hydraulic systems using bond graphs. Unlike the others, the causalities are not applied in bond graph settings. This leads that mathematical model is generated in the form of differential algebraic equation (DAEs) and solved as such by suitable solver. Bond graph model of simple hydraulic system has developed using program Bo...

Structural Properties of Inverse Models Represented by Bond Graph

Inverse models are widely used for control or design purposes. In both cases, the maximum order of differentiation of each output appearing in the model inversion constitutes relevant information since it characterizes the regularity of the trajectory to be followed. Although this property can be determined from algebraic manipulation of the model, this paper shows how it can be obtained direct...

Identifiability of Dynamic Stochastic General Equilibrium Models with Covariance Restrictions

This article is concerned with identification problem of parameters of Dynamic Stochastic General Equilibrium Models with emphasis on structural constraints, so that the number of observable variables is equal to the number of exogenous variables. We derived a set of identifiability conditions and suggested a procedure for a thorough analysis of identification at each point in the parameters sp...