基于动态面的未知常数增益自适应间接控制

SELF-ADAPTIVE INDIRECT CONTROL OF UNKNOWN CONSTANT GAIN BASED ON DYNAMIC SURFACE

讨论具有未知常数虚拟控制增益及扰动的非线性系统的自适应动态面控制。针对一类具有外界扰动的常增益非线性系统,基于神经网络的逼近能力,结合动态面控制技术,引入一阶滤波器,提出间接自适应控制方案。该方案有效消除了后推设计中由于对虚拟控制反复求导而导致的复杂性问题。

In this paper we discussed the self-adaptive dynamic surface control of non-linear system with unknown constant virtual control gain and disturbance. In light of a sort of non-linear system with external disturbance constant gain, based upon the approximation ability of then neural network, we presented the indirect adaptive control solution which combines the technology of dynamic surface control and introduces the first-order of filter. The solution effectively avoids the complicated problems in backward design arising from the repeated differentiation on virtual control.