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A novel algorithm is presented for the optimal estimation of parameters and for determining the initial conditions in non linear mathematical models. The work was developed based on models derived from property balance equations. A matrix relation between the variation of degrees of freedom of the process and the variations of the input variables was used to formulate the objective function, which was optimized via orthogonal projection methods. The technique was applied to a continuous stirred tank reactor obtaining results that were consistent with the dynamic behavior of the reactor.

Estimación Óptima de Parámetros y Determinación del Estado Inicial en Modelos Matemáticos No Lineales: Aplicación a un Reactor Químico