Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/66529
Title: Identification of nonlinear spatiotemporal dynamical systems with nonuniform observations using reproducing-kernel-based integral least square regulation
Authors: Ning, HW
Qing, GY
Jing, XJ 
Keywords: Integral least square kernel regression
Nonlinear system identification
Nonuniform observations
Partial linear models (PLMs)
Spatiotemporal dynamics
Issue Date: 2016
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on neural networks and learning systems, Nov. 2016, v. 27, no. 11, p. 2399-2412 How to cite?
Journal: IEEE transactions on neural networks and learning systems 
URI: http://hdl.handle.net/10397/66529
ISSN: 2162-237X
EISSN: 2162-2388
DOI: 10.1109/TNNLS.2015.2473686
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