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Yongxin Chen

5 papers hereh-index 679 citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2
  • last author2

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • math.OC4
  • eess.SY1
same name
  • Yongxin Chen — 31 papers, h 21
  • Yongxin Chen — 24 papers, h 15
  • Yongxin Chen — 23 papers, h 9
  • Yongxin Chen — 12 papers, h 8
  • Yongxin Chen — 10 papers, h 10
  • Yongxin Chen — 10 papers, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182023
most citedNavigation with Probabilistic Safety Constraints: Convex Formulation

7 citations · 15 across the 5 of their papers we have counts for

collaborators
Showing math.OCShow all

4 papers · 1 filter

math.OC2023

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…

math.OC2022★ 7 cited

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…

math.OC2022★ 1 cited

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.…

math.OC2018★ 2 cited

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…

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