Nonlinear System Identification Using Quasi-ARX RBFN Models with a Parameter-Classified Scheme
Work
Year: 2017
Type: article
Abstract: Quasi-linear autoregressive with exogenous inputs (Quasi-ARX) models have received considerable attention for their usefulness in nonlinear system identification and control. In this paper, identifica... more
Source: Complexity
Institutions Wuxi Institute of Technology, Zhejiang Financial College, Waseda University, Southeast University, King Abdulaziz University
Cites: 31
Cited by: 5
Related to: 10
FWCI: 0.646
Citation percentile (by year/subfield): 65.65
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
APC paid (est): $2,300
Funders National Natural Science Foundation of China, National Natural Science Foundation of China, National Natural Science Foundation of China
Grant IDS 81320108018, 31570943, 2015-DZXX-003