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dynamic nonlinear system identification

Nonlinear model-based condition monitoring of advanced gas-cooled nuclear reactor cores

Nonlinear model-based condition monitoring of advanced gas-cooled nuclear reactor cores

... the nonlinear dynamic model of the refuelling process for dealing with varying speed regions such as stoppage points, speed change from 2 ft/min to 20 ft/ min, ...the nonlinear dynamic first ...

8

An Adaptive Nonlinear Filter for System Identification

An Adaptive Nonlinear Filter for System Identification

... the identification of Hammerstein nonlinear systems (a static memoryless nonlinear system in series with a dynamic linear system) is that the output of the nonlinear ...

7

Sparse Bayesian Nonlinear System Identification using Variational Inference

Sparse Bayesian Nonlinear System Identification using Variational Inference

... Abstract—Bayesian nonlinear system identification for one of the major classes of dynamic model, the nonlinear autoregressive with exogenous input (NARX) model, has not been widely ...

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An Intelligent Nonlinear System Identification Method with an Application to Condition Monitoring

An Intelligent Nonlinear System Identification Method with an Application to Condition Monitoring

... types, dynamic nonlinear systems are best modeled by recurrent networks, due to the interacting nature of present and past values of the inputs and outputs via feedback ...any nonlinear ...

125

Nonlinear System Identification in Frequent and Infrequent Operating Points for Nonlinear Model Predictive Control

Nonlinear System Identification in Frequent and Infrequent Operating Points for Nonlinear Model Predictive Control

... low nonlinear process up to 1000 for high nonlinear ...adaptive dynamic [6] or general nonlinear dynamic model has also been used [8] in some ...in identification of a ...

10

Identification of continuous-time models for nonlinear dynamic systems from discrete data

Identification of continuous-time models for nonlinear dynamic systems from discrete data

... the nonlinear damping was set as µ =3 and the period of the stable limit cycle is about ...the system is ...the nonlinear relationship between the displacement, velocity and the ...the system ...

22

On the orthogonalised reverse path method for nonlinear system identification

On the orthogonalised reverse path method for nonlinear system identification

... linear dynamic compliance matrix in the presence of nonlinearities in a general Multi-Degree-of-Freedom (MDOF) system can be solved using the Conditioned Reverse Path (CRP) method introduced by Richards and ...

36

Measurement-based analysis of the dynamic performance of microgrids using system identification techniques

Measurement-based analysis of the dynamic performance of microgrids using system identification techniques

... the dynamic performance of MGs, as well as the interactions between DG units using real measurement ...different system identification methods are used and their performance is compared and ...with ...

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Multivariable system identification for dynamic discrete time nonlinear system using genetic algorithm

Multivariable system identification for dynamic discrete time nonlinear system using genetic algorithm

... The number of possible terms in AutoRegressivs Moving Average with eXogenous input or ARMAX model is equal to the sum of allowable maximum lags while the maximum numb= of terms in NARMAX[r] ...

6

Review of rational (total) nonlinear dynamic system modelling, identification, and control

Review of rational (total) nonlinear dynamic system modelling, identification, and control

... into nonlinear rational model term selection and parameter ...model identification with proper extension of classical least squares ...control system design, the U-model and hence U-control provide a ...

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The Global Exponential Stability Analysis of Nonlinear Dynamic System and Application

The Global Exponential Stability Analysis of Nonlinear Dynamic System and Application

... chaotic system equivalent to the transmitter, which is driven by the received signals, so as to achieve the synchronization between the local chaotic system and the receiver chaotic system, then ...

7

Bee algorithm integrated with system identification technique for 
		modelling dynamic systems

Bee algorithm integrated with system identification technique for modelling dynamic systems

... in system identification because by using the data provided, a selection process is done, following the standards and then the characters of the models are compared (Yang et ...the system ...

8

 INTELLIGENT SELF TUNING PID CONTROLLER USING HYBRID IMPROVED PARTICLE 
SWARM OPTIMIZATION FOR ULTRASONIC MOTOR

 INTELLIGENT SELF TUNING PID CONTROLLER USING HYBRID IMPROVED PARTICLE SWARM OPTIMIZATION FOR ULTRASONIC MOTOR

... measuring of the force components on the body is called force-decomposition model [6]. However, there are two ways in this field can suppress the oscillation of a pipe cylinder under VIV which is: passive and active ...

9

Epileptic seizure as a system of ordinary differential equation

Epileptic seizure as a system of ordinary differential equation

... 32. Tahir A. , Fauziah Z. , Jafri M. A. and Faridah M. (2005). dynamic system of an epileptic seizure. (IEEE). Sensors and the International Conference on new Techniques in Pharmaceutical and Biomedical ...

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The design of periodic excitations for dynamic system
identification

The design of periodic excitations for dynamic system identification

... For the parametric identification using of multiple-input systems, uncorrelated input signals need not be specified, but the identification is certainly aided by the availability of the [r] ...

193

Duct Modeling Using the Generalized RBF Neural Network for Active Cancellation of Variable Frequency Narrow Band Noise

Duct Modeling Using the Generalized RBF Neural Network for Active Cancellation of Variable Frequency Narrow Band Noise

... the nonlinear behavior, can suppress a variable-frequency narrow band noise of a duct more efficiently than an FX-LMS ...online identification of the nonlinear ...

7

Modeling and control of an engine fuel injection system

Modeling and control of an engine fuel injection system

... The scope of work in this project concentrates on the engine and control system modeling follows by ascertain of control system performance using MATLAB- SIMULINK. This report will be build up by five ...

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A Novel Developed Linear and Nonlinear System Identification for an Industrial Dryer

A Novel Developed Linear and Nonlinear System Identification for an Industrial Dryer

... Dryer system is a controlled plant which is normally used in chemical ...this system facilitates its maintenance and ...and nonlinear events. In this paper the linear identification of dryer ...

9

Dynamic Output Feedback Control for Nonlinear Uncertain Systems with Multiple Time-Varying Delays

Dynamic Output Feedback Control for Nonlinear Uncertain Systems with Multiple Time-Varying Delays

... the nonlinear nonstrict-feedback ones [10, ...the nonlinear uncertainties are bounded by the high-order ...control system has a more general form than a general nonlinear system, and ...

12

IIR System Identification Using Improved Harmony Search Algorithm with Chaos

IIR System Identification Using Improved Harmony Search Algorithm with Chaos

... for system identification tends to provide a model that represents the best fit to an unknown plant based on FIR or IIR ...adaptive system identification and filtering techniques have been ...

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