Minimax Q-learning design for H∞ control of linear discrete-time systems
Author:
Publisher
Zhejiang University Press
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing
Link
https://link.springer.com/content/pdf/10.1631/FITEE.2000446.pdf
Reference29 articles.
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2. Başar T, Bernhard P, 1995. H∞-Optimal Control and Related Minimax Design Problems (2nd Ed.). Springer, Boston, USA.
3. Doyle JC, Glover K, Khargonekar PP, et al., 1989. Statespace solutions to standard H2 and H∞ control problems. IEEE Trans Autom Contr, 34(8):831–847. https://doi.org/10.1109/9.29425
4. Hansen TD, Miltersen PB, Zwick U, 2003. Strategy iteration is strongly polynomial for 2-player turn-based stochastic games with a constant discount factor. JACM, 60(1): Article 1. https://doi.org/10.1145/2432622.2432623
5. He HB, Zhong XN, 2018. Learning without external reward. IEEE Comput Intell Mag, 13(3):48–54. https://doi.org/10.1109/MCI.2018.2840727
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