Abstract

In this paper a recursive identification method is proposed for two-dimensional nonlinear time-varying systems for the first time in the literature. No structural information, mathematical model, external testing signals and training process are needed. It is designed only by using I/O data of the systems. The algorithm is based on a dynamic linearization technique and is proposed for a class of two-dimensional discrete-time single-input single-output nonlinear systems. The algorithm uses the pseudo-partial-derivatives derived on-line from the input and output information of the system using a recursive projection type of identification algorithm. Numerical simulations are presented to show the effectiveness of the proposed algorithm for the estimation of temperature of catalytic rod during process in a reactor.

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 call

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.