Academic
Keywords
System Identification

SI,System Identification,systems identification,system identifications,system identif,system identific,Systemizing identification,system identifing,sy

System Identification - SI
Publications: 10,269| Citation Count: 64,454
Stemming Variations: systems identification, system identifications, system identif, system identific, Systemizing identification
Cumulative Annual
    • System identification is a method for using measured data to create or improve a mathematical model of the object being tested. From the measured data however, noise is noticed at the beginning of the response. One solution to avoid this noise problem is to skip the noisy data and then use the initial conditions as active parameters, to be found by using the system identification process...

    SUNG Wen-peiet al. Time domain system identification of unknown initial conditions

    • System identification is an experimental approach to determine the transfer function or equivalent mathematical description for the dynamic of a system component by using a suitable input signal. A pseudorandom binary sequence (PRBS) signal of 5 different maximum lengths sequence of 15, 31, 63, 127, and 255 has been used as an input signal to determine the open-loop and closed-loop model of a hot air blower system. The autocorrelation of the input signal and cross-correlation between the input and output signal is performed using the Dynamic Signal Analyzer (DSA) and MATLAB software...

    YEOH KEAT HOEet al. MODELLING OF PT326 HOT AIR BLOWER TRAINER KIT USING PRBS SIGNAL AND CR...

    • System identification is the science of modelling the behavior of a dynamical system based on input-output data. Input signal design is a critical aspect of system identification since it directly affects the model quality. Highly interactive multiple input multiple output (MIMO) systems present challenges in implementing methodologies like Model on Demand (MoD) that require a good output state space distribution...

    Hans D. Mittelmannet al. Optimal Input Signal Design in Data-Centric System Identification

    • System identification is the underlying mechanism of adaptive filtering algorithms in the context of acoustic echo cancelation systems. Multichannel system identification is subject to specific problems emerging from spatio-temporal couplings in the input signals of the adaptive filter...

    Sascha Sporset al. MULTICHANNEL TRANSFORM DOMAIN ADAPTIVE FILTERING: A TWO STAGE APPROACH...

    • System identification is an important issue in determining a dynamical model for an unknown plant as well as in monitoring and control of system states. This field of study has been the focus of attention of researchers for several years. Online system identification to date is mostly based on recursive methods such as least squares [73]...

    Heidar Talebiet al. Neural Network-Based System Identification Schemes

Sort by: