The adjoint method is an elegant approach for the computation of the gradient of a cost
function to identify a set of parameters. An additional set of differential equations has to be …

The adjoint method is a very efficient way to compute the gradient of a cost functional
associated to a dynamical system depending on a set of input signals. However, the …

We present a method for optimizing inputs of multibody systems for a subsequently
performed parameter identification. Herein, optimality with respect to identifiability is attained …

The paper presents a method for estimating the parameters of multi-body systems whose
motion is limited in a relative range. Recent published methods handle a general problem …

The dynamic modeling of multibody systems has been recognized as a key aid in the
analysis, design, optimization, and control of mechanical systems. During the past three …

This dissertation focuses on the efficient and accurate generation of sensitivity information
for various optimization problems characterized by a large design space in the field of …

Optimal design of multibody systems (MBS) is of primary importance to engineers and
researchers working in various fields, eg: in robotics or in machine design. The goal of this …

In the last years, the complexity of models in multibody dynamics has grown tremendously.
In particular, industrial simulations of large systems including several flexible bodies such as …

Multibody system (MBS) simulations see an increasing relevance in the field of automated
modeling strategies due to several reasons. A redundant set of coordinates in combination …

In the last years, the complexity of models in multibody dynamics has grown tremendously.
In particular, industrial simulations of large systems including several flexible bodies such as …