Abstract
Adaptive control of nonlinear systems with parametric uncertainties is considered. A novel approach is presented which makes use of multiple identification models and switching based on direct adaptive control scheme. The use of multiple fixed models and switching provides better transient response under sudden changes in the parameter values. The parameter estimates are reset to the fixed values whenever one of these fixed models yields smaller identification error. The restrictive matching conditions are not required, but the nonlinearities are assumed to be Lipschitz. This work is the generalisation of the methodology proposed by Ciliz and Cezayirli.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
