3 citations · 3 across the 1 of their papers we have counts for
3 papers
Rapid Convergence of First-Order Numerical Algorithms via Adaptive Conditioning
Muhammad Adil, Sasan Tavakkol, Ramtin Madani
This paper is an attempt to remedy the problem of slow convergence for first-order numerical algorithms by proposing an adaptive conditioning heuristic. First, we propose a paralle…
Multi-Agent Motion Planning using Deep Learning for Space Applications
Kyongsik Yun, Changrak Choi, Ryan Alimo +5
State-of-the-art motion planners cannot scale to a large number of systems. Motion planning for multiple agents is an NP (non-deterministic polynomial-time) hard problem, so the co…
Convex Relaxation of Bilinear Matrix Inequalities Part II: Applications to Optimal Control Synthesis
Mohsen Kheirandishfard, Fariba Zohrizadeh, Muhammad Adil +1
The first part of this paper proposed a family of penalized convex relaxations for solving optimization problems with bilinear matrix inequality (BMI) constraints. In this part, we…