Πλοήγηση ανά Θέμα "Identification (control systems)"
Αποτελέσματα 1-18 από 18
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Adaptive asymptotic disturbance attenuation for a permanent magnet DC motor
(2001)The problem of speed control of a permanent magnet DC motor with unknown parameters and unknown external load torque is formulated in the form of an adaptive control problem based on the design requirement of asymptotic ... -
Adaptive Kalman filters for nonlinear finite element model updating
(2020)This paper presents two adaptive Kalman filters (KFs) for nonlinear model updating where, in addition to nonlinear model parameters, the covariance matrix of measurement noise is estimated recursively in a near online ... -
Bayesian uncertainty quantification and propagation in nonlinear structural dynamics
(2013)A Bayesian uncertainty quantification and propagation (UQ&P) framework is presented for identifying nonlinear models of dynamic systems using vibration measurements of their components. The measurements are taken to be ... -
Bayesian uncertainty quantification and propagation in nonlinear structural dynamics
(2009)Nonlinear modelling and parametric identification of an experimental vehicle model, are employed in this paper. The composite structure of the vehicle model is split into a frame substructure and to four support substructures. ... -
Computational Framework for Online Estimation of Fatigue Damage using Vibration Measurements from a Limited Number of Sensors
(2017)This study proposes a computational framework for the online estimation of fatigue damage using operational vibration measurements from a limited number of sensors. To infer the stress response time histories required for ... -
Dynamic response estimation and fatigue prediction in a linear substructure of a complex mechanical assembly
(2016)In this work, a computational framework is proposed for online estimation of fatigue damage, in a linear steel substructure of the entire body of a lignite grinder assembly at a PPC power plant. The proposed method is based ... -
An enhanced memory TSK-type recurrent fuzzy network for real-time classification
(2015)An enhanced memory TSK-type recurrent fuzzy network (EM-TRFN) is proposed in this paper, suitable for modeling complex dynamic systems. Feedback connections, formulated using finite impulse response (FIR) synaptic filters, ... -
Implications of subsoil-foundation modelling on the dynamic characteristics of a monitored bridge
(2019)Model updating based on system identification (SI) results is a well-established procedure to evaluate the reliability of a developed numerical model. In this inverse assessment problem, soil-foundation compliance is often ... -
Multi-objective optimization algorithms for finite element model updating
(2008)A multi-objective optimization method is presented for estimating the parameters of finite element structural models based on modal residuals. The method results in multiple Pareto optimal structural models that are ... -
Multi-objective parameter identification in structural dynamics
(2003)The structural identification problem is formulated in a multi-objective context that allows the simultaneous minimization of the various objectives related to the fit between measured and model predicted data. Thus, the ... -
Multi-parameter identification and control of turned surface textures
(2006)A method for characterizing turned surface textures corresponding to varying cutting variables leading to differing profile shape is presented with emphasis on a global view of turning machinability parameters. Through a ... -
Nonlinear gear transmission system numerical dynamic analysis and experimental validation
(2014)The main objective of the present work was to accurately predict the dynamic response of a gear transmission system. First, a nonlinear mathematical model is introduced. In this model, the housing of the gearbox is modeled ... -
A Nonlinear Model Inversion Method for Joint System Parameter, Noise, and Input Identification of Civil Structures
(2017)This paper presents a framework for nonlinear system identification of civil structures using sparsely measured dynamic output response of the structure. Using a sequential maximum likelihood estimation (MLE) approach, the ... -
Optimal sensor and actuator configuration for structural identification
(2001)A methodology is presented for designing cost-effective optimal sensor and actuator configurations useful for structural model updating and health monitoring purposes. The optimal sensor and actuator configuration is ... -
Parametric identification and fault detection in vehicle models with nonlinear suspension
(2001)Systematic methodologies are applied for performing parametric identification and fault detection in nonlinear vehicle systems. The dynamic response of the vehicle models examined is caused by road excitation. In these ... -
Programming and control of an industrial robotic system
(2002)The importance of robotic systems in the automation of industrial units is well known. In this paper is described the logic programming and computer control system of a robotic manipulator (IBM Scara robot) utilized in ... -
Structural health monitoring and fatigue damage estimation using vibration measurements and finite element model updating
(2019)In this work, a computational framework is proposed for fatigue damage estimation in structural systems by integrating operational experimental measurements in a high-fidelity, large-scale finite element model. The proposed ... -
System identification of a R/C bridge based on ambient vibrations and 3D numerical simulations of the entire soil-structure system
(2011)The scope of this paper is to identify the parameters affecting the dynamic response of an existing R/C bridge, based on low ambient amplitude vibration measurements and numerical predictions using complex finite element ...