Adaptive Control of Extremum Systems
Adaptive Control of Extremum Systems
复制标题
极值系统的自适应控制
DOI：
10.1007/bfb0003263
复制
发表时间：
1980
期刊：
影响因子：
--
通讯作者：
J. Sternby
中科院分区：
文献类型：
--
作者：
J. Sternby
讨论了两种基于模型的极值控制方法。该模型由动态线性部分和静态非线性部分组成，可以放置在输入或输出处。结果表明，具有输入非线性的模型更容易处理，但可能给出较差的自适应控制律。由于输出具有非线性，即使系统参数已知，最优控制律也是对偶的。建议采用一种重写后一个模型的方法来促进参数识别的使用。
Two model-based methods for extremum control are treated. The models consist of a dynamic linear part and a static nonlinearity which can be placed either at the input or at the output. It is shown that models with an input nonlinearity are easier to handle, but may give poor adaptive control laws. With a nonlinearity at the output, the optimal control law is dual, even if the system parameters are known. A way of rewriting this latter model is suggested to facilitate the use of parameter identification.