A study on system identification for model-based control

研究了系统辨识理论在基于模型控制中的实际应用。重点研究了装置的识别、输入选择、输入输出数据的测量方法、随机噪声和确定性误差的处理以及装置周围环境变化的跟踪。此外，为了检验所提出方法的有效性，还对系统辨识理论的工业应用问题，例如汽车、精密仪器、航空航天、机器人和医疗仪器进行了研究。

Practical application of system identification theory which is a popular model building method of a plant, for model-based control has been studied. Especially, identification input selection, measurement method of input-output data of the plant, treatment of stochastic noise and deterministic error, and tracking of environmental change around the plant, were studied. Moreover, industrial application problems of system identification theory, for example, automobiles, precision instruments, aerospace, robotics, and medical instruments, were carried out in order to examine the effectiveness of the proposed methods.