Control of quasi non-integrable Hamiltonian systems for targeting a specified stationary probability density
Author:
Affiliation:
1. School of Electric, Shanghai Dianji University , Shanghai, P. R. China
2. Department of Mechanics, State Key Laboratory of Fluid Power Transmission and Control, Zhejiang University , Hangzhou, P. R. China
Funder
Innovation Program of Shanghai Municipal Education Commission
National Natural Science Foundation of China
Shanghai Municipal Education Commission
Shanghai Education Development Foundation
Publisher
Informa UK Limited
Subject
Computer Science Applications,Control and Systems Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207179.2017.1383631
Reference16 articles.
1. Power probability density function control and performance assessment of a nuclear research reactor
2. A Fokker–Planck control framework for multidimensional stochastic processes
3. Self-tuning controllers based on pole-zero placement
4. Nonlinear Theory of Random Vibrations
5. Constrained PI Tracking Control for Output Probability Distributions Based on Two-Step Neural Networks
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