Process Identification using Nonlinear Programming Techniques

作者: Phani B. Sistu , B. Wayne Bequette

DOI: 10.23919/ACC.1990.4790994

关键词: Noise measurementNonlinear systemDynamic programmingMeasurement uncertaintyOptimal controlControl theoryProcess controlModel predictive controlMathematicsNonlinear programming

摘要: A nonlinear programming approach is developed to estimate process variables and parameters in dynamic systems. This used for identification predictive control of a jacketed CSTR with deadtime on the measurements. Studies are performed that illustrate effects model structure uncertainty, parameter measurement noise uncertainty. estimation-based shown be superior without estimation.

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