Model uncertainty refers to the lack of perfect knowledge regarding the mathematical representation of a system, which can lead to discrepancies between the actual system behavior and the model predictions. This concept is crucial because it affects the performance and stability of control strategies, making it essential to account for such uncertainties in the design and analysis of nonlinear control systems.
congrats on reading the definition of model uncertainty. now let's actually learn it.