A method of nonlinearfiltering is applied to the problem of estimating the dynamic reactivity of a nonlinear reactor system. The nonlinear filtering algorithm developed is a simple modification of a linear H-infinity...
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A method of nonlinearfiltering is applied to the problem of estimating the dynamic reactivity of a nonlinear reactor system. The nonlinear filtering algorithm developed is a simple modification of a linear H-infinity optimal filter with a nonlinear feedback loop added. The linear filter is designed on the basis of a linearized dynamical system model that consists of linearized point reactor kinetic equations and a reactivity state equation driven by a fictitious signal. The latter is artificially introduced to deal with the reactivity as a state variable. The results of the computer simulation show that the nonlinear filtering algorithm can be applied to estimate the dynamic reactivity of the nonlinear reactor system, even under relatively large reactivity disturbances.
The results of a computer simulation are described for a recently developed reformulation by M. H. A. Davis of the optimal filtering equations for a noisily observed diffusion process. Support is given to the view tha...
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The results of a computer simulation are described for a recently developed reformulation by M. H. A. Davis of the optimal filtering equations for a noisily observed diffusion process. Support is given to the view that nonlinearfiltering by this method is a practical proposition.
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