Persistent models for complex control systems

Authors

Shahab Ilbeigi, University of Rhode Island
David Chelidze, University of Rhode Island

Document Type

Conference Proceeding

Date of Original Version

1-1-2017

Abstract

We use smooth orthogonal decomposition (SOD) as a multivariate analysis method to obtain a reduced order model for an example of a complex nonlinear control system.We evaluate the robustness of the reduced order models. Our results show that SOD-based reduced control models are able to reduce the computation time of the actual system.

Publication Title, e.g., Journal

Conference Proceedings of the Society for Experimental Mechanics Series

Volume

1

Citation/Publisher Attribution

Ilbeigi, Shahab, and David Chelidze. "Persistent models for complex control systems." Conference Proceedings of the Society for Experimental Mechanics Series 1, (2017): 167-175. doi: 10.1007/978-3-319-54404-5_18.