DISTRIBUTED SYSTEMS IDENTIFICATION IN STOCHASTIC ENVIRONMENT / IDENTIFICAÇÃO DE SISTEMAS DISTRIBUÍDOS EM AMBIENTE ESTOCÁSTICO
AUTOR(ES)
JOSE ANTONIO MENEZES FELIPPE DE SOUZA
DATA DE PUBLICAÇÃO
1978
RESUMO
This work presents a method for parametric identification of distributed systems modeled by partial differential equation operating in a stochastic environment. The present problem has already been treated by Kubrusly and Curtain in [7] where the system through a limited number of noisy sensors located in the spatial domain. Here it is presented a generalization of the above mentioned work Now it is assumed that the noisy measurements are generated considering that the output gain as well as the noise effects are space-varying. The model is assumed to be known up to a set of space-varying parameters which are identified by using recursive stochastic approximation algorithms.
ASSUNTO(S)
identification distributed systems identificacao sistemas distribuidos
