Model Variation Tests for Multivariable Nonlinear Models Including Neural Networks
- Publisher: Department of Automatic Control and Systems Engineering
arxiv: Computer Science::Information Theory
A fast and concise MIMO nonlinear model validity test procedure is derived, based on higher order correlation functions, to form a global to local hierarchical validation diagnosis of identified MIMO linear and nonlinear models. The new procedure is applied to four MIMO nonlinear system models including a neural network training example to demonstrate the effectiveness of the tests.
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