نتایج جستجو برای: control nonlinearity
تعداد نتایج: 1344443 فیلتر نتایج به سال:
the volterra model is widely used for nonlinearity identification in practical applications. in this paper, we employed volterra model to find the nonlinearity relation between electroencephalogram (eeg) signal and the noise that is a novel approach to estimate noise in eeg signal. we show that by employing this method. we can considerably improve the signal to noise ratio by the ratio of at le...
. بسیاری از سیستم های واقعی غیرخطی اند و خطی سازی مبنایی برای بسیاری از رویتگرهای طراحی شده می باشد. فیلتر کالمن توسعه یافته (ekf) و فیلتر کالمن نمونه بردار (ukf) دو رویتگر متداول برای سیستم های غیرخطی هستند که در حضور غیرخطی های سخت (hard nonlinearity) مثل اشباع عملکردی ضعیف دارند. برای این دسته از سیستم ها در این پایان نامه طراحی رویتگر هایبرید پیشنهاد و اثبات همگرایی آن ضمیمه شده است.
A novel design of Dual-Core Photonic Crystal Fiber (DC-PCF) with silica-air microstructures is proposed in this paper. Nonlinearity and confinement loss of DC-PCF are evaluated by using a Full-Vectorial Finite Element Method (FV-FEM) successfully. By optimizing the geometry of three ring DC-PCFs, a high nonlinearity (52w-1km-1) and low confinement loss (0.001dB/km) can be achieved at 1.55μm wav...
bifurcations leading to chaos have been investigated in a number of one dimensional dynamical systems by varying the parameters incorporated within the systems. the property hyperbolicity has been studied in detail in each case which has significant characteristic behaviours for regular and chaotic evolutions. in the process, the calculations for invariant set have also been carried out. a bro...
Abstract: In this paper, a method for determination of refractive index in membrane of fuel cell on basis of three-longitudinal-mode laser heterodyne interferometer is presented. The optical path difference between the target and reference paths is fixed and phase shift is then calculated in terms of refractive index shift. The measurement accuracy of this system is limited by nonlinearity erro...
A nonlinear model predictive control (NMPC) algorithm based on neural network is designed for boiler- turbine system. The boiler–turbine system presents a challenging control problem owing to its severe nonlinearity over a wide operation range, tight operating constraints on control move and strong coupling among variables. The nonlinear system is identified by MLP neural network and neur...
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