Add to ORKGTheoretical and numerical results are presented for inverse problems involving estimation of spatially varying parameters such as stiffness and damping in distributed models for elastic structures such as Euler-Bernoulli beams. An outline of algorithms used and a summary of computational experiences are presented
Interactions between structure response and control of large flexible space systems have challenged ...
We discuss the use of homogenization techniques to derive approximate models with simple geometry fo...
Discrepancies between experimentally measured data and computational predictions are unavoidable for...
A numerical approximation scheme for the estimation of functional parameters in Euler-Bernoulli mode...
Approximation ideas are discussed that can be used in parameter estimation and feedback control for ...
The formulation and solution of inverse problems for the estimation of parameters which describe dam...
A computational method is developed for the estimation of parameters in a distributed model for a fl...
A maximum likelihood estimation for distributed parameter models of large flexible structures was fo...
1. Goals of the project. The goal of this project is to study the estimation and control of elastic ...
Structures are often characterized by parameters, such as mass and stiffness, that are spatially dis...
The main objective of this project is to establish a distributed parameter modeling technique for st...
Proposed large space structures have many characteristics that give an advantage to modeling their s...
Proposed large space structures have many characteristics that give an advantage to modeling their s...
This work formulates a method for the modeling of material damping characteristics in distributed pa...
Approximation techniques for use in numerical schemes for estimating spatially varying coefficients ...
Interactions between structure response and control of large flexible space systems have challenged ...
We discuss the use of homogenization techniques to derive approximate models with simple geometry fo...
Discrepancies between experimentally measured data and computational predictions are unavoidable for...
A numerical approximation scheme for the estimation of functional parameters in Euler-Bernoulli mode...
Approximation ideas are discussed that can be used in parameter estimation and feedback control for ...
The formulation and solution of inverse problems for the estimation of parameters which describe dam...
A computational method is developed for the estimation of parameters in a distributed model for a fl...
A maximum likelihood estimation for distributed parameter models of large flexible structures was fo...
1. Goals of the project. The goal of this project is to study the estimation and control of elastic ...
Structures are often characterized by parameters, such as mass and stiffness, that are spatially dis...
The main objective of this project is to establish a distributed parameter modeling technique for st...
Proposed large space structures have many characteristics that give an advantage to modeling their s...
Proposed large space structures have many characteristics that give an advantage to modeling their s...
This work formulates a method for the modeling of material damping characteristics in distributed pa...
Approximation techniques for use in numerical schemes for estimating spatially varying coefficients ...
Interactions between structure response and control of large flexible space systems have challenged ...
We discuss the use of homogenization techniques to derive approximate models with simple geometry fo...
Discrepancies between experimentally measured data and computational predictions are unavoidable for...