Integral concurrent learning: Adaptive control with parameter convergence using finite excitation
Work
Year: 2018
Type: article
Abstract: Summary Concurrent learning (CL) is a recently developed adaptive update scheme that can be used to guarantee parameter convergence without requiring persistent excitation. However, this technique req... more
Institutions Robotics Research (United States), Sandia National Laboratories, Oklahoma State University, University of Florida
Cites: 32
Cited by: 125
Related to: 10
FWCI: 8.243
Citation percentile (by year/subfield): 100
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Sustainable Development Goal Peace, justice, and strong institutions
Open Access status: bronze
Funders National Science Foundation, National Science Foundation, Office of Naval Research, Air Force Office of Scientific Research
Grant IDS 1762829, 1509516, N00014‐13‐1‐0151, FA9550‐18‐1‐0109