Identification of nonlinear systems operating in closed loop

闭环运行的非线性系统的识别

• 批准号: 238939-2010
• 负责人: Westwick, David
• 金额: $ 1.68万
• 依托单位: University of Calgary
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=547144
• 关键词: Identification; nonlinear; systems; operating; closed

Many systems, robots, aircraft, electrical motors and generators, behave in a nonlinear fashion. Controlling these systems efficiently often requires an accurate mathematical model of their behavior, that can accurately predict the system's response to any given input or stimulus. In relatively simple cases, it is possible to build these models using principles of basic engineering, mathematics and physics. When the system becomes too complex for this analytical approach, the model must be obtained experimentally, using measurements of the system's inputs and outputs. This is system identification, which is used wherever precise mathematical descriptions of complex systems are required.

许多系统，如机器人、飞机、电动机和发电机，都以非线性方式运行。 有效地控制这些系统通常需要一个精确的数学模型，可以准确地预测系统对任何给定输入或刺激的响应。 在相对简单的情况下，可以使用基本的工程、数学和物理原理来构建这些模型。 当系统变得过于复杂，无法用这种分析方法时，必须通过测量系统的输入和输出，通过实验获得模型。 这就是系统识别，它用于任何需要对复杂系统进行精确数学描述的地方。