4 papers
Distributed Koopman Operator Learning for Perception and Safe Navigation
Ali Azarbahram, Shenyu Liu, Gian Paolo Incremona
This paper presents a unified and scalable framework for predictive and safe autonomous navigation in dynamic transportation environments by integrating model predictive control (M…
Distributed Koopman Operator Learning from Sequential Observations
Ali Azarbahram, Shenyu Liu, Gian Paolo Incremona
This paper presents a distributed Koopman operator learning framework for modeling unknown nonlinear dynamics using sequential observations from multiple agents. Each agent estimat…
Scalable Distributed Least Squares Algorithm for Linear Algebraic Equations via Periodic Scheduling
Shenyu Liu
In this work, we propose a novel discrete-time distributed algorithm for finding least-squares solutions of linear algebraic equations with a scheduling protocol to further enhance…
Control Theoretic Approach to Fine-Tuning and Transfer Learning
Erkan Bayram, Shenyu Liu, Mohamed-Ali Belabbas +1
Given a training set in the form of a paired , we say that the control system has learned the paired set via the control if the s…