LOCALIZAÇÃO ÓTIMA DE SENSORES PARA FILTRAGEM E IDENTIFICAÇÃO EM SISTEMAS DISTRIBUÍDOS / OPTIMAL SENSORS LOCATION FOR FILTERING AND IDENTIFICATION OF DISTRIBUTED SYSTEMS
AUTOR(ES)
HELIOS MALEBRANCHE OLBRISCH FRERES FILHO
DATA DE PUBLICAÇÃO
1987
RESUMO
This thesis deals with the nonlinear problem of simultaneous parameter and state estimation for distributed systems, including the associated optimal sensor location. The class of models under consideration is caracterrized by linear unbounded operators which are densely defined and dissipative. Our approach applies linear filtering techniquess to a sequence of linearizations at suitable trajectories. The optimal sensors location is carried out by minimizing a meassure of the state and parameter estimation error. The contribution of this thesis comprises: (1) an algorithm for simultaneous identification and filtering for a classs of distributed systems operting in a stochastic environment and (2) an efficient optimal sensors location scheme for the above mentioned problem. Some simulated exemples are presented to illustrate the proposed approach.
ASSUNTO(S)
algoritmos sistemas distribuidos sensor filtragem algorithms sensor filtering distributed systems
