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20172023
most citedSE(3) Koopman-MPC: Data-driven Learning and Control of Quadrotor UAVs

33 citations · 87 across the 21 of their papers we have counts for

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Showing 2022 · math.OCShow all

5 papers · 2 filters

math.OC2022

Reciprocity of Algorithms Solving Distributed Consensus-Based Optimization and Distributed Resource Allocation

Seyyed Shaho Alaviani, Atul Gajanan Kelkar, Umesh Vaidya

This paper aims at proposing a procedure to derive distributed algorithms for distributed consensus-based optimization by using distributed algorithms for network resource allocati…

math.OC2022

Koopman-based Policy Iteration for Robust Optimal Control

Alexander Krolicki, Sarang Sutavani, Umesh Vaidya

Classically, the optimal control problem in the presence of an adversary is formulated as a two-player zero-sum differential game or an control problem. The solution to…

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.OC2022★ 2 cited

Data-Driven Stochastic Optimal Control using Linear Transfer Operators

Umesh Vaidya, Duvan Tellez-Castro

We provide a data-driven framework for optimal control of a continuous-time stochastic dynamical system. The proposed framework relies on the linear operator theory involving linea…