نتایج جستجو برای: neural network model predictive control nnmpc

تعداد نتایج: 3851283  

Journal: :iranian journal of medical physics 0
ali rastjoo ardakani msc in medical engineering, medical physics and medical engineering dept., faculty of medicine, tehran university of medical sciences, tehran, iran hossein arabalibeik assistant professor, medical physics and medical engineering dept., faculty of medicine, tehran university of medical sciences, tehran, iran

introduction: evoked potentials arisen by stimulating the brain can be utilized as a communication tool  between humans and machines. most brain-computer interface (bci) systems use the p300 component,  which is an evoked potential. in this paper, we evaluate the use of the hidden markov model (hmm) for  detection of p300.  materials and methods: the wavelet transforms, wavelet-enhanced indepen...

Babak Roshanipour Iman Karimi Karim Salahshoor,

The current paper investigates the influence of packet losses in network control systems (NCS’s) using the model predictive control (MPC) strategy. The study focuses on two main network packet losses due to sensor to controller and controller to actuator along the communication paths. A new Markov-based method is employed to recursively estimate the probability of time delay in controller to ac...

Bijan Moaveni, Mojtaba Khorshidi Seyed Saeed Fazel

In this paper, a neural network model reference adaptive system speed observer is designed, which can be used in speed control of linear induction motors (LIMs). Dynamical equations of LIM have been considered accurate. In other words, the end effect and the electrical losses of the motor have been included in the motor equivalent circuit. Then equations of the reference model and adaptive mode...

Journal: :iranian red crescent medical journal 0
zohreh amiri department of basic sciences, national nutrition and food technology research institute, faculty of nutrition sciences and food technology, shahid beheshti university of medical sciences, ir iran kazem mohammad department of epidemiology and biostatistics, school of public health, tehran university of medical sciences, ir iran +98-2188989126, [email protected] mahmood mahmoudi department of epidemiology and biostatistics, school of public health, tehran university of medical sciences, ir iran +98-2188989126, [email protected] mahbubeh parsaeian department of epidemiology and biostatistics, school of public health, tehran university of medical sciences, ir iran +98-2188989126, [email protected]

results survival probabilities at different times were determined using the cox proportional hazards and a neural network with three nodes in the hidden layer; the ratios of standard errors with these two methods to the kaplan-meier method were 1.1593 and 1.0071, respectively, revealed a significant difference between cox and kaplan-meier (p < 0.05) and no significant difference between cox and...

Journal: :مرتع و آبخیزداری 0
ام البنین بذرافشان استادیار دانشکدة منابع طبیعی دانشگاه هرمزگان علی سلاجقه دانشیار دانشکدة کشاورزی و منابع طبیعی دانشگاه تهران احمد فاتحی مرج استادیار مرکز تحقیقات کم آبی و خشک سالی در کشاورزی و منابع طبیعی، تهران محمد مهدوی استاد دانشکدة کشاورزی و منابع طبیعی دانشگاه تهران جواد بذرافشان استادیار دانشکدة کشاورزی و منابع طبیعی دانشگاه تهران سمیه حجابی دانشجوی دکتری دانشکدة کشاورزی و منابع طبیعی دانشگاه تهران

drought is random and nonlinear phenomenon and using linear stochastic models, nonlinear artificial neural network and hybrid models is advantaged for drought forecasting. this paper presents the performances of autoregressive integrated moving average (arima), direct multi-step neural network (dmsnn), recursive multi-step neural network (rmsnn), hybrid stochastic neural network of directive ap...

Journal: :pollution 2015
zahra zangeneh sirdari aminuddin ab. ghani nasim zangeneh sirdari

bedload transport is an essential component of river dynamics and estimation of its rate is important to many aspects of river management. in this study, measured bedload by helley- smith sampler was used to estimate the bedload transport of kurau river in malaysia. an artificial neural network, genetic programming and a combination of genetic programming and a neural network were used to estim...

2000
Vérène Wagner Jean-Pierre Vila

The aim of this paper is to present the main features of an integrated approach of the on-line identification and predictive control of uncertain dynamical systems. A nonparametric statistical procedure is considered for the functional estimation of the unknown process model, imbedded into a neuralbased predictive control procedure: a feedforward neural network with one hidden layer is used to ...

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