An ISS-modular approach for adaptive neural control of pure-feedback systems
Work
Year: 2006
Type: article
Source: Automatica
Institutions South China University of Technology, Australian National University, National University of Singapore, City University of Hong Kong
Cites: 31
Cited by: 472
Related to: 10
FWCI: 37.2
Citation percentile (by year/subfield): 99.3
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: closed