Abstract
To tackle the difficulty in identifying time-varying nonlinear Multi-Input Multi-Output (MIMO) system online, a fast online system identification approach based on Least Squares Support Vector Machine (LSSVM) was proposed. The existing LSSVM incremental and online learning algorithms were introduced, and some speeding up implementing tactics were designed and adopted in the algorithm; consequently, a fast online LSSVM learning algorithm was obtained. MIMO system was decomposed into multiple Multi-Input Single-Output (MISO) subsystems, and each MISO was modeled online via a LSSVM. The numerical simulation shows the modeling method is faster and the obtained models provide accurate prediction.
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.
