Kernel Least Mean Square Algorithm in Control of Nonlinear Systems
محل انتشار: بیست و یکمین کنفرانس مهندسی برق ایران
سال انتشار: 1392
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 907
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شناسه ملی سند علمی:
ICEE21_049
تاریخ نمایه سازی: 27 مرداد 1392
چکیده مقاله:
Although some research has been presented about the application of Kernel Least Mean Square (KLMS) algorithm in the estimation and approximation of functions, this algorithm wasn’tapplied to the control of nonlinear systems. In this paper, an efficient and novel adaptive Control strategy based on KernelLeast Mean Square is introduced to realize the control of a nonlinear aircraft system. Actually the KLMS algorithm is agrowing radial basis function (GRBF) network, when Kernelfunction is a Gaussian function. In this research, based on Lyapunov theory, KLMS is used as an online method for tuning thekernel size to control nonlinear systems. This technique certifies the stability and provides an acceptable accuracy. Finally, weutilize this algorithm to control a nonlinear fighter aircraft by using a dynamic model of the F-18 aircraft.
کلیدواژه ها:
نویسندگان
Zinat Mazloomi
Faculty of Electerical and Robotic Engineering, Shahrood University of Technology, Shahrood ۳۶۱۹۹-۹۵۱۶۱
Heydar Tusian Shandiz
Faculty of Electerical and Robotic Engineering, Shahrood University of Technology, Shahrood ۳۶۱۹۹-۹۵۱۶۱
Hossein Faramarzpour
Department of Mechanical Engineering, Faculty of Engineering, Tarbiat Modares University, Tehran ۱۴۱۱۵-۱۴۳