Abstract
This paper focuses on the development of adaptive observer for a class of nonlinear discrete-time systems. A high-gain observer is used to estimate the unknown parameters and state variables. The problem formulation is achieved based on the Euler approximation method. The proposed algorithm is developed to guarantees the convergence of parameters and state variables to their true values. Based on a new formulation of the high-gain observer, sufficient conditions and assumptions to ensure asymptotic convergence are established. An example involving a typical bioreactor illustrates some results of the proposed observer.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: International Journal of Signal and Imaging Systems Engineering
Disclaimer: 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.