DescriptionThe problem of optimal input design plays a key role when considering the planning of an experiment in order to do parameter identification. Poorly planned experiments can cause a waste of time and resources and yield little useful information. The linkage between the experiment and modeling world is called design of experiment (DOE). If the model knowledge is used for designing the experiments often the term ”model-based DOE” can be found in the literature . One of the first authors dealing with the topic of designing experiments was R. A. Fischer in his substancial work ”The Design of Experiments”. He stated that the basic problem of DOE is to decide what pattern of factors combination will best reveal the properties of the response and how this response is influenced by the factors. The term optimal input design emerges in the work of Mehra [2, 3] who worked on linear discrete-time systems. The most important requirement for designing an input was to generate a system output allowing to determine system parameters featuring a minimum of variance. The main content of this contribution is to show how the process of optimal input design can be adopted for mechanical systems. In  the authors present the adjoint method as a tool for computing the update direction during an optimal control problem with outstanding performance. Therefore, this method is also applied here in combination with a modified design goal.
|Period||30 May 2016|
|Event title||The Fourth Joint International Conference on Multibody System Dynamics - IMSD 2016: null|
|Location||Montréal, Québec, Canada, Canada|