نتایج جستجو برای: predictive model

تعداد نتایج: 2203466  

Journal: :international journal of robotics 0
mohammad farrokhi iran university of science and technology mohsen parsa iran university of science and technology

this paper employs nonlinear disturbance observer (ndo) for robust trajectory-free nonlinear model predictive control (nmpc) of biped robots. the ndo is used to reject the additive disturbances caused by parameter uncertainties, unmodeled dynamics, joints friction, and external slow-varying forces acting on the biped robots. in contrary to the slow-varying disturbances, handling sudden pushing ...

Journal: :iranian journal of mechanical engineering transactions of the isme 2013
a. ghaffari a.r. khodayari s. salehinia m. nouri-khajavi m.r. arbab tafti

the control of car following is essential due to its safety and its operational efficiency. for this purpose, this paper builds a model of car following behavior based on armax structure from a real traffic dataset and design a model predictive control (mpc) system. based on the relative distance and relative acceleration of each instant, the mpc predicts the future behavior of the leader vehic...

Journal: :فصلنامه مدلسازی ریسک و مهندسی مالی 0
مهدی آسیما دانشجوی دکترای مالی، بانکداری، دانشکده مدیریت، دانشگاه تهران، تهران، ایران امیر علی عباس زاده اصل 2. کارشناسی ارشد مهندسی مالی، دانشکده مدیریت، دانشگاه تهران، تهران، ایران

capital asset pricing model (capm) has been among the common models to estimate expected returns rate. since the linearity assumption is considered in the standard version of the capital asset pricing model, estimating beta in nonlinear setting will be inconsistent and bias-oriented. therefore, this study tries to evaluate predictive power of nonlinear capital asset pricing model as well as sta...

Kakaee, A.H, Mafi, Sh.,

In this paper we aim to develop a predictive combustion model for a turbocharged engine in GT-Power software to better simulate engine characteristics and study its behavior under variety of conditions. Experimental data from combustion was initially being used for modelling combustion in software and these data were used for model calibration and result validation. EF7-TC engine was chosen for...

Journal: :international journal of endocrinology and metabolism 0
mahnaz barkhordari department of mathematics, bandar abbas branch, islamic azad university, bandar abbas, ir iran mojgan padyab centre for population studies, ageing and living conditions, umea university, sweden mahsa sardarinia prevention of metabolic disorders research center, research institute for endocrine sciences, shahid beheshti university of medical sciences, tehran, ir iran farzad hadaegh prevention of metabolic disorders research center, research institute for endocrine sciences, shahid beheshti university of medical sciences, tehran, ir iran fereidoun azizi endocrine research center, research institute for endocrine sciences, shahid beheshti university of medical sciences, tehran, ir iran mohammadreza bozorgmanesh prevention of metabolic disorders research center, research institute for endocrine sciences, shahid beheshti university of medical sciences, tehran, ir iran; prevention of metabolic disorders research center, research institute for endocrine sciences, shahid beheshti university of medical sciences, tehran, ir iran. tel: +98-2122409301, fax: +98-2122402463

conclusions herein we have described the stata package “adpredsurv” for calculation of the nam-d’agostino x2 goodness of fit test as well as cut point-free and cut point-based nri, relative and absolute idi, and survival-based regression analyses. we hope this work encourages the use of novel methods in examining predictive capacity of the emerging plethora of novel biomarkers. background a fun...

اسماعیل زاده, سید مجید, رضوی, سید سجاد,

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...

Journal: :IFAC Proceedings Volumes 2014

Journal: :iranian journal of chemistry and chemical engineering (ijcce) 2011
mohammad reza jafari karim salahshoor

an adaptive version of growing and pruning rbf neural network has been used to predict the system output and implement linear model-based predictive controller (lmpc) and non-linear model-based predictive controller (nmpc) strategies. a radial-basis neural network with growing and pruning capabilities is introduced to carry out on-line model identification.an unscented kalman filter (ukf) algor...

Journal: :Journal of Control Science and Engineering 2012

Journal: :energy equipment and systems 2015
hamed javaheri fard hamid reza najafi hossein eliasi

wind energy today, has attracted widespread interest from among a variety of sources of renewable energy in the world. owing to the increasing demand for production of electrical energy for electricity networks by using wind power, it is essential that wind power plants are actively incorporated in the network’s performance using an appropriate control system. in general, these wind power plant...

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