Title :
Nonlinear model identification and state-observer design for water distribution systems
Author_Institution :
Lab. d´´Autom. de Grenoble, France
Abstract :
This paper discusses the nonlinear model identification and the state-observer design for water distribution systems. A nonlinear model of the flows dynamics is put forward, on the basis of the Saint-Venant equations. Since some of the model parameters are not known or may be slowly time-varying, an identification procedure is needed. The author´s approach is based on output-error minimization, by use of nonlinear programming techniques. On the basis of the identified model, the problem of state-observer design is then stated.
Keywords :
State estimation; minimisation; nonlinear programming; parameter estimation; state estimation; water supply; Saint-Venant equations; nonlinear model identification; output-error minimization; state-observer design; water distribution systems;
Conference_Titel :
Control, 1994. Control '94. International Conference on
Conference_Location :
Coventry, UK
Print_ISBN :
0-85296-610-5
DOI :
10.1049/cp:19940252