dynamic data system identification
Bee algorithm integrated with system identification technique for modelling dynamic systems
... System identification is the study on creating equivalent mathematical models based on the input-output data provided (Zadeh, ...input-output data, 2) Model structure selection, 3) Parameter ...
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Linear Dynamic Modelling and Identification of Hybrid Thermoelectric Refrigerator System
... the system response will be improperly represented which will consequently cause parameter estimates is to be ...observed data [10]. On the other hand, too large a value will drive the system into ...
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Dynamic Characteristics of a SC Building in Kashiwazaki NPP Site Using Vibration Test - Part 1: Data Analysis and System Identification
... soil-building system based on the FVT ...fixed-base dynamic characteristics of the building can be estimated by response analysis of the model, eliminating the degree of freedom corresponding to the ...
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Nonlinear system identification and control using dynamic multi-time scales neural networks
... term-System Identification for the problem of identifying a black box by its input-output relationship ...to system identification which has become an established branch of control ...domain. ...
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System Model Modes Developed from Expansion of Uncoupled Component Dynamic Data
... final system model in order to obtain accurate system ...full system model characteristics; but this is only true for the system modes that can be accurately represented by the individual ...
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Designing Dynamic Neural Network For Non-Linear System Identification
... training data sequence is ...for dynamic networks is called dynamic ...recurrent dynamic network is transformed into a corresponding feed-forward static ...
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Nonlinear model-based condition monitoring of advanced gas-cooled nuclear reactor cores
... FGLT data for core condition monitoring, one essential and key challenge is how to reliably and accurately separate friction forces from the masked FGLT ...inspection data, the model-based condition ...
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Review of rational (total) nonlinear dynamic system modelling, identification, and control
... underlying system. The correlation based model validation uses data sequences of input, output, and residual (difference between measured system output and model predicted output) to form a series of ...
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Application of functional link neural network to HVAC thermal dynamic system identification
... adaptive identification and control, the learning capabilities of the networks can have significant effects on the performance of the closed-loop ...of data input to a network can be modified in an ...
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Advertising Recommendation System Based on Dynamic Data Analysis
... behavior data counter unthinkingly can allow the identification of good audiences ...from data on visitations to social networking pages, without collecting any information on the identities of the ...
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Parameter Identification of Multistorey Frame Structure from Uncertain Dynamic Data
... interval system of linear equations. They have considered the system of linear equations with fuzzy and interval ...parameters. Dynamic Analysis of structures with interval uncertainty has been ...
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Dynamic Data Prefetching and Layout Optimizations for High Performance Heterogeneous Data Access.
... Scientific Data Services (SDS) system proposes to apply data management optimizations transparently without placing burden on scientific application developers [ 29, 86 ] ...replicate data on ...
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Measurement-based analysis of the dynamic performance of microgrids using system identification techniques
... The dynamic performance of microgrids is of crucial importance, due to the increased complexity introduced by the combined effect of inverter interfaced and rotating distributed ...the dynamic behavior of ...
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Load Shedding using Window Aggregation Queries on Data Streams
... for data stream processing is to identify system identification to establish a dynamic model to describe a data stream management system (DSMS), which enables us to analyze DSMS ...
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Identification of continuous-time models for nonlinear dynamic systems from discrete data
... The coefficient of the nonlinear damping was set as µ =3 and the period of the stable limit cycle is about 7.7s. The van der Pol oscillator was simulated using the 4th order Runge-Kutta algorithm at a sampling interval ...
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Dynamic Hotspot Identification for Limited Access Facilities using Temporal Traffic Data
... geometry data for ...geometry data in addition to other relevant ...roadway system. For the data preparation, only some relevant variables were chosen, including AADT, number of lanes, ...
122
Dynamic system identification and sensor linearization using neural network techniques
... of system identification problems, solutions with the help of various techniques and approaches are ...different system identification methods are ...an system identification ...
63
Dynamic key based data owner centric model for ensuring data security in cloud
... security data model is based on a three- tructure, in which each layer performs its own duty to ensure the data security of cloud ...user's data encryption by using (Cartrysse and Van der Lubbe, ...
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International Journal of Computer Science and Mobile Computing
... In general, mobile ad hoc networks are formed dynamically by an autonomous system of mobile nodes that are connected via wireless links without using the existing network infrastructure or centralized ...
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High Dynamic Range Data Centric Workflow System
... High dynamic range, high resolution cameras such as the DALSA Origin offer significant benefits relative to traditional 35mm or HD systems both in terms of quality and economics but the choice of camera cannot be ...
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