14 citations · 44 across the 30 of their papers we have counts for
12 papers · 2 filters
Lossless Convexification of Optimal Control Problems with Semi-continuous Inputs
Danylo Malyuta, Behcet Acikmese
This paper presents a novel convex optimization-based method for finding the globally optimal solutions of a class of mixed-integer non-convex optimal control problems. We consider…
RLC Circuits based Distributed Mirror Descent Method
Yue Yu, Behçet Açıkmeşe
We consider distributed optimization with smooth convex objective functions defined on an undirected connected graph. Inspired by mirror descent mehod and RLC circuits, we propose…
Fast Trajectory Optimization via Successive Convexification for Spacecraft Rendezvous with Integer Constraints
Danylo Malyuta, Taylor P. Reynolds, Michael Szmuk +2
In this paper we present a fast method based on successive convexification for generating fuel-optimized spacecraft rendezvous trajectories in the presence of mixed-integer constra…
Maximal Invariant Set Computation and Design for Markov Chains
Dylan Janak, Behçet Açıkmeşe
We describe an algorithm for computing the maximal invariant set for a Markov chain with linear safety constraints on the distribution over states. We then propose a Markov chain s…
Dual Quaternion Based Powered Descent Guidance with State-Triggered Constraints
Taylor P. Reynolds, Michael Szmuk, Danylo Malyuta +3
This paper presents a numerical algorithm for computing 6-degree-of-freedom free-final-time powered descent guidance trajectories. The trajectory generation problem is formulated u…
Stochastic Bregman Parallel Direction Method of Multipliers for Distributed Optimization
Yue Yu, Behçet Açıkmeşe
Bregman parallel direction method of multipliers (BPDMM) efficiently solves distributed optimization over a network, which arises in a wide spectrum of collaborative multi-agent le…