8 citations · 22 across the 16 of their papers we have counts for
6 papers · 2 filters
A Proximal Method for Composite Optimization with Smooth and Convex Components
Samet Uzun, Dayou Luo, Behçet Açıkmeşe +1
We introduce prox-convex for minimizing , where and are convex, and are smooth, and each component of is convex (possibly nonsmooth).…
Continuous-time Constrained Funnel Synthesis for Incrementally Quadratic Nonlinear Systems
Taewan Kim, Dayou Luo, Behçet Açıkmeşe
This paper presents a convex optimization-based framework for synthesizing time-varying controlled invariant funnels and associated feedback control around a given nominal trajecto…
Onboard Dual Quaternion Guidance for Rocket Landing
Abhinav G. Kamath, Javier A. Doll, Purnanand Elango +8
The dual quaternion guidance (DQG) algorithm was selected as the candidate 6-DoF powered-descent guidance algorithm for NASA's Safe and Precise Landing -- Integrated Capabilities E…
Successive Convexification for Passively-Safe Spacecraft Rendezvous on Near Rectilinear Halo Orbit
Purnanand Elango, Abraham P. Vinod, Kenji Kitamura +3
We present an optimization-based approach for fuel-efficient spacecraft rendezvous to Gateway, a lunar space station architecture based on a near rectilinear halo orbit (NRHO) arou…
Newton-PIPG: A Fast Hybrid Algorithm for Quadratic Programs in Optimal Control
Dayou Luo, Yue Yu, Maryam Fazel +1
We propose Newton-PIPG, an efficient method for solving quadratic programming (QP) problems arising in optimal control, subject to additional set constraints. Newton-PIPG integrate…
Optimal Preconditioning for Online Quadratic Cone Programming
Abhinav G. Kamath, Purnanand Elango, Behçet Açıkmeşe
First-order conic optimization solvers are sensitive to problem conditioning and typically perform poorly in the face of ill-conditioned problem data. To mitigate this, we propose…