7 citations · 15 across the 5 of their papers we have counts for
5 papers
Data-driven optimal control under safety constraints using sparse Koopman approximation
Hongzhe Yu, Joseph Moyalan, Umesh Vaidya +1
In this work we approach the dual optimal reach-safe control problem using sparse approximations of Koopman operator. Matrix approximation of Koopman operator needs to solve a leas…
Navigation with Probabilistic Safety Constraints: Convex Formulation
Joseph Moyalan, Yongxin Chen, Umesh Vaidya
We consider the problem of navigation with safety constraints. The safety constraints are probabilistic, where a given set is assigned a degree of safety, a number between zero and…
Data-Driven Optimal Control via Linear Transfer Operators: A Convex Approach
Joseph Moyalan, Hyungjin Choi, Yongxin Chen +1
This paper is concerned with data-driven optimal control of nonlinear systems. We present a convex formulation to the optimal control problem (OCP) with a discounted cost function.…
A convex data-driven approach for nonlinear control synthesis
Hyungjin Choi, Umesh Vaidya, Yongxin Chen
We consider a class of nonlinear control synthesis problems where the underlying mathematical models are not explicitly known. We propose a data-driven approach to stabilize the sy…
Sample Complexity for Nonlinear Dynamics
Yongxin Chen, Umesh Vaidya
We consider the identification problems for nonlinear dynamical systems. An explicit sample complexity bound in terms of the number of data points required to recover the models ac…