The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL
Transactions ID Number: 89-272
Full Name: Sezai Tokat
Position: Assistant Professor
Age: ON
Sex: Male
Address: Pamukkale University, Engineering Faculty, Computer Engineering Department
Country: TURKEY
Tel: +90.258.2963201
Tel prefix:
Fax: +90.258.2963262
E-mail address: stokat@pamukkale.edu.tr
Other E-mails: sezaitokat@gmail.com
Title of the Paper: Observer gain adaptation of output feedback sliding mode controller with support vector machine regression
Authors as they appear in the Paper: Sezai Tokat, Serdar Iplikci, Lutfi Ulusoy
Email addresses of all the authors: stokat@pamukkale.edu.tr, iplikci@pamukkale.edu.tr, lutfiulusoy@hotmail.com
Number of paper pages: 11
Abstract: The conventional sliding mode controller needs the exact knowledge of system state measurements. In this study, nonlinear second order systems with unmeasured system states and bounded external disturbances are considered. The sliding mode observer based on nonlinear observation error dynamics is considered and the observer gain is adjusted by using a support vector machine based plant model. From the output of the support vector machine model, k-step ahead predictions are obtained. Therefore, the value of k is first analyzed to search for a proper value. It is also shown with the simulations that the stability conditions are satisfied for the chosen observer gains. Computer simulations are presented to show the effect of the proposed gain adjustment mechanism on the performance of output feedback sliding mode controller. It is seen that the trajectory tracking performance is improved with respect to a conventional output feedback sliding mode control scheme having!
constant sliding mode observer gains.
Keywords: Sliding mode control, Sliding mode observer, Output feedback sliding mode control, Support vector machine regression, Observer gain, Bounded external disturbances.
EXTENSION of the file: .pdf
Special (Invited) Session: Output Feedback Sliding Mode Control with Support Vector Machine Based Observer Gain Adaptation
Organizer of the Session: 697-178
How Did you learn about congress: Prof.Dr. Ibrahim EKSIN (eksin@elk.itu.edu.tr), Prof.Dr.Mujde GUZELKAYA (gkaya@elk.itu.edu.tr)
IP ADDRESS: 193.255.54.201
