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Optimal Filtering, Parameter Tracking, and Control of Nonlinear Nuclear Reactors

机译:非线性核反应堆的最优滤波,参数跟踪与控制

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This paper presents a new formulation of a class of nonlinear optimal control problems in which the system's signals are noisy and some system parameters are changing arbitrarily with time. The methodology is validated with an application to a nonlinear nuclear reactor model. A variational technique based on Pontryagin's Maximum Principle is used to filter the noisy signals, estimate the time-varying parameters, and calculate the optimal controls. The reformulation of the variational technique as an initial value problem allows this microprocessor-based algorithm to perform on-line filtering, parameter tracking, and control. (ERA citation 13:048586)

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