Parametric shapes model objects as programs producing a geometry based on few semantic degrees of freedom, called hyper-parameters. These are the typical output non-destructive modeling, CAD modeling or rigging. However they suffer from core issue being manipulated only indirectly, through series values rather than itself. In this paper, we introduce an amendment process underlying direct acycl...

Two inverse ill-posed problems are considered. The first problem is an input restoration of a linear system. second one time-dependent coefficients ordinary differential equation. Both reformulated as auxiliary optimal control with regularizing cost functional. For the problem, two models proposed. In model, approximated by output and estimates its derivatives. This model yields approximating l...

To control structures against wind and earthquake excitations, Adaptive Neuro Fuzzy Inference Systems and Neural Networks are combined in this study. The control scheme consists of an ANFIS inverse model of the structure to assess the control force. Considering existing ANFIS controllers, which require a second controller to generate training data, the authors’ approach does not need anot...