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Weighted Multiple-Model Neural Network Adaptive Control for Robotic Manipulators with Jumping Parameters
Work
Year: 2020
Type: article
Abstract: This study addresses the tracking control issue for n -link robotic manipulators with largely jumping parameters. Based on radial basis function neural networks (RBFNNs), we propose weighted multiple-... more
Source: Complexity
Authors Jiazhi Li, Weicun Zhang, Quanmin Zhu
Institutions University of Science and Technology Beijing, University of the West of England
Cites: 41
Cited by: 7
Related to: 10
FWCI: 0.741
Citation percentile (by year/subfield): 60.55
Topic: Adaptive Control of Nonlinear Systems
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Sustainable Development Goal Peace, justice, and strong institutions
Open Access status: gold
APC paid (est): $2,300
Funders National Natural Science Foundation of China, National Natural Science Foundation of China
Grant IDS 61741302, 61520106010