基于神经网络的一类非线性系统自适应输出跟踪
Adaptive Output Tracking of Nonlinear Systems Using Neural Networks
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摘要: 针对一类未知非线性系统,提出了一种输出反馈控制方法.首先,在假设系统状态已 知情况下设计状态反馈控制器,实现跟踪性能;然后,在系统状态不完全可测的情况下,通过 设计高增益观测器对系统的状态进行估计,实现输出反馈控制器设计,证明了所设计的输出 反馈控制器可以获得状态反馈控制器的性能.Abstract: An adaptive output feedback control scheme is developed for a class of nonlinear unknown systems. In this scheme, we first suppose that the states of the systems are known and design a state feedback controller to realize the tracking performance. Then we design the output feedback controller by introducing the estimator of the states for the case where system states are unknown. It is proved that this output feedback controller can recover the tracking performance obtained by the state feedback controller.
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Key words:
- Neural networks /
- nonlinear systems /
- adaptive control /
- output feedback /
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