From Data-Driven Operator Theoretic Schemes to Prediction, Inference, and Control of Systems
Abstract
Large scale dynamical systems (e.g. many nonlinear coupled differential equations) can often be summarized in terms of only a few state variables (a few equations), a trait that reduces complexity and facilitates exploration of behavioral aspects of otherwise intractable models. High model dimensionality and complexity makes symbolic, penÐandÐpaper model reduction tedious and impractical, a difficulty addressed by recently developed frameworks that computerize reduction. Symbolic work has the benefit, however, of identifying both reduced state variables andÉ
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Oct 16, 2018
- Source ID
- W911NF1710306
Entities
People
- Igor Mezić
Organizations
- Army Contracting Command
- United States Army
- University of California, Santa Barbara