Abstract—In this work, we present a Stochastic Gradient. Ascent (SGA) algorithm for multi-vehicle information gathering that accounts for limitations on a ...
In this work, we present a Stochastic Gradient Ascent (SGA) algorithm for multi-vehicle information gathering that accounts for limitations on a vehicle's ...
A Stochastic Gradient Ascent (SGA) algorithm for multi-vehicle information gathering that accounts for limitations on a vehicle's control authority caused ...
... We use Stochastic Gradient Ascent (SGA) algorithm as the local optimization function, since the gradient of the information gathering objective function is ...
Stochastic Optimization for Autonomous Vehicles with Limited Control Authority. D. Jones, G. Hollinger, M. Kuhlman, D. Sofge, and S. Gupta.
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Stochastic Optimization for Autonomous Vehicles with Limited Control Authority. D Jones, MJ Kuhlman, DA Sofge, SK Gupta, GA Hollinger. 10* ; Competitive two team ...
Sep 3, 2023 · In this paper, we address the problem of safe trajectory planning under parametric model uncertainties motivated by automotive applications.
The control loop consists of a forecasting generative model and a stochastic optimization subproblem. At each time step, the generative model first ...
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Develop stochastic optimal control theories for robust design and operations of autonomous aerospace vehicles.
Missing: Limited Authority.
We propose accelerated randomized coordinate descent algorithms for stochastic optimization and online learning. Our algorithms have significantly less per- ...