Abstract
The problem of adaptive observer synthesis for a class of Lipschitz nonlinear systems is investigated. A new algorithm to the design of adaptive observer scheme is proposed and the respective observer gains are obtained through the solution of a Riccati equation with linear constraints. Solvability conditions for such a Constrained Riccati Problem (CRP) are derived and a systematic algorithm for obtaining adaptive observers which guarantee the error convergence of the state estimates is provided.
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.
