IEEE

Linear Quadratic Control of Unknown Nonlinear Systems Using Model-Free Reinforcement Learning

Abstract: This article proposes linear quadratic controllers for unknown nonlinear systems with noise. Scenarios with unknown underlying nonlinear dynamics but measurable system states are considered.
IEEE

Extending linear designs to nonlinear systems via adaptive architectures

Abstract: This paper addresses observer/controller design problems for nonlinear systems from the perspective of augmenting linear designs. In both problems, an ...
Frontiers

Linear and nonlinear multidimensional functional connectivity methods reveal similar ...

1 MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom 2 Department of Psychology and York Biomedical Research Institute, University of York, York, United Kingdom ...
GitHub

LuGroupUMN/ICL_Linear_Systems

This project numerically evaluate the in-context learning (ICL) capabilities of linear transformers for linear systems. We consider two examples: In-context for Linear systems with random matrices. In ...