نتایج جستجو برای: state space modeling

تعداد نتایج: 1624713  

Journal: :computational methods in civil engineering 2010
m. davoodi m. ebrahimnejad j. vaseghi-amiri

in this paper the active vibration control of a four-story shear frame instrumented with piezoelectric actuators is presented. the piezoelectric actuators are hosted on the columns in two manners and the produced controlling forces by actuators are considered in the equation of motion. the smart structure modeling and control design is carried out using matlab software in state space form. subs...

2010
T. Ozaki Andreas Galka Kevin Kin Foon Wong Tohru Ozaki

Contemporary neuroscientific research has access to various techniques for recording time-resolved data relating to human brain activity: electroencephalography (EEG) and magnetoencephalography (MEG) record the electromagnetic fields generated by the brain, while other techniques, such as near-infrared spectroscopy (NIRS) and functional magnetic resonance imaging (fMRI) are sensitive to the loc...

2011
Karima Amoura Patrice Wira Saïd Djennoune

In this paper, a specific neural-based model for identification of dynamical nonlinear systems is proposed. This artificial neural network, called State-Space Neural Network (SSNN), is different from other existing neural networks. Indeed, it uses a state-space representation while being able to adapt and learn its parameters. These parameters are the neural weights which are intelligible or un...

2007
Naresh P. Cuntoor

Title of dissertation: STATE SPACE APPROACHES FOR MODELING ACTIVITIES IN VIDEO STREAMS Naresh P. Cuntoor Doctor of Philosophy, 2006 Dissertation directed by: Professor Rama Chellappa Department of Electrical and Computer Engineering The objective is to discern events and behavior in activities using video sequences, which conform to common human experience. It has several applications such as r...

2012
Stefanos Georgiadis Perttu Ranta-aho Mika Tarvainen Pasi Karjalainen

The exploration of brain responses following environmental inputs or in the context of dynamic cognitive changes is crucial for better understanding the central nervous system (CNS). However, the limited signal-to-noise ratio of non-invasive brain signals, such as evoked potentials (EPs), makes the detection of single-trial events a difficult estimation task. In this chapter, focus is given on ...

2004
C. T. Rim

A modeling based on the practical switches with finite turn-on, turn-off, delay, storage and reverse recovery times is proposed. The switching effects on the state equation, system stability, dc gain and efficiency are shown for the boost, buck and buck-boost converters. The effect of switching time variation by current on system stability is given as an extension of the storage time modulation...

2005
Felix Grasser Alfred Rufer

Maintaining a fuel cell system in correct operating conditions when subjected to fast load changes requires good system control. In order to design such a controller, a simple PEFC system model describing all the important system dynamics and cross couplings is required. The simple model shown here describes the fuel cell auxiliary systems in a state space approach, linking user input to fuel c...

2017
Samarendra Das

Computational Genomics is now becoming the growing area for researchers to decipher biology from genome sequences and related high throughput data. In the post genomic era, there is huge amount of genomic data available because of different advanced experimental technology like microarray technology, Chromatin immune-precipitation with array hybridization (ChIP-chip) etc. [1]. In order to analy...

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