Flatness-Based Design of Experiments for Model Selection
Flatness-Based Design of Experiments for Model Selection is a scholarly work, published in 2018 in ''IFAC Proceedings Volumes''. The main subjects of the publication include inversion, model selection, system identification, mathematical optimization, process, flatness, fault detection and isolation, lock, model predictive control, Experimental data, design of experiments, and computer science. The authors present a new model inversion strategy to solve model-based design of experiments (MBDoE) problems for model selection; i.e., authors maximize the difference of competing model candidates by using the differential flatness concept.