Nonlinear Sampled-Data Systems
Nonlinear Sampled-Data Systems
复制标题
非线性采样数据系统
DOI：
10.1007/978-1-4471-5102-9_98-1
复制
发表时间：
2015
期刊：
影响因子：
--
通讯作者：
R. Postoyan
中科院分区：
文献类型：
--
作者：
D. Nešić;R. Postoyan
采样数据系统是通过计算机以数字方式实现反馈律的控制系统。由于与模拟控制相比它们提供的众多优点，它们现在很流行。非线性采样数据系统出现在这种情况下，无论是植物模型或控制器是非线性的。虽然线性系统现在已经是一个成熟的领域，但非线性采样数据系统更难处理，因此也更不容易理解。它们固有的复杂性导致了各种建模、分析和设计方法。这些方法的摘要在本条目中介绍。
Sampled-data systems are control systems in which the feedback law is digitally implemented via a computer. They are prevalent nowadays due to the numerous advantages they offer compared to analog control. Nonlinear sampled-data systems arise in this context when either the plant model or the controller is nonlinear. While their linear counterpart is now a mature area, nonlinear sampled-data systems are much harder to deal with and, hence, much less understood. Their inherent complexity leads to a variety of methods for their modeling, analysis, and design. A summary of these methods is presented in this entry.