Nonlinear control systems represent a critical area of study wherein the relationship between inputs and outputs is not directly proportional, resulting in complex and often unpredictable dynamics. In ...

Abstract: This paper tackles the consensus tracking control challenge for a category of uncertain nonlinear multi-agent systems subject to unknown time-varying disturbances and output constraints.

Abstract: Well-established nonlinear control methods often rely on mathematical models that can be imprecise or uncertain. Classical robust control techniques address this by designing conservative ...

This repository includes code accompany several REALM papers (see below for references). Specifically, it hosts our framework for using neural networks to learn certificates (usually Lyapunov, Barrier ...