作者: Phani B. Sistu , B. Wayne Bequette
DOI: 10.23919/ACC.1990.4790994
关键词: Noise measurement 、 Nonlinear system 、 Dynamic programming 、 Measurement uncertainty 、 Optimal control 、 Control theory 、 Process control 、 Model predictive control 、 Mathematics 、 Nonlinear 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.