Abstract
A recursive algorithm is presented for identification of linear discrete time multivariable systems. Use of a canonical representation for state space model minimizes the number of parameters to be estimated. The problem of identification in the presence of noise is solved by instrumental variable approach. The use of m-sequence inputs as instrumental variables simplify the computational problem.
Sign-in/Register to access full text options 
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.
