Controlling the equilibria of nonlinear stochastic systems based on noisy data
Work
Year: 2016
Type: article
Institutions Ural Federal University, City University of Hong Kong
Cites: 41
Cited by: 19
Related to: 10
FWCI: 1.526
Citation percentile (by year/subfield): 76.7
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: closed
Grant ID 16-08-00388