期刊
ALGORITHMS
卷 11, 期 1, 页码 -出版社
MDPI
DOI: 10.3390/a11010008
关键词
optimal control; state-space models; randomized algorithms; continuous-time systems
In this article we suggest a randomized algorithm for the LQR (Linear Quadratic Regulator) optimal-control problem via static-output-feedback. The suggested algorithm is based on the recently introduced randomized optimization method called the Ray-Shooting Method that efficiently solves the global minimization problem of continuous functions over compact non-convex unconnected regions. The algorithm presented here is a randomized algorithm with a proof of convergence in probability. Its practical implementation has good performance in terms of the quality of controllers obtained and the percentage of success.
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