Discretization Methods for Nonconvex Optimal Control Problems with State Constraints
Author:
Affiliation:
1. a Department of Mathematics, School of Applied Mathematics and Physics , National Technical University of Athens , Zografou Campus, Athens , Greece
Publisher
Informa UK Limited
Subject
Control and Optimization,Computer Science Applications,Signal Processing,Analysis
Link
https://www.tandfonline.com/doi/pdf/10.1081/NFA-200067296
Reference10 articles.
1. Discrete approximation of relaxed optimal control problems
2. Mixed Frank–Wolfe Penalty Method with Applications to Nonconvex Optimal Control Problems
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Classical and Relaxed Progressively Refining Discretization-Optimization Methods for Optimal Control Problems Defined by Ordinary Differential Equations;Large-Scale Scientific Computing;2012
2. Descent-Penalty Methods for Relaxed Nonlinear Elliptic Optimal Control Problems;Large-Scale Scientific Computing;2008
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