Feedback stabilization: control Lyapunov functions modelled by neural networks

Feedback stabilization: control Lyapunov functions modelled by neural networks
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反馈稳定:控制由神经网络建模的李亚普诺夫函数

DOI:
10.1109/cdc.1993.325708
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发表时间:
1993
期刊:
Proceedings of 32nd IEEE Conference on Decision and Control
影响因子:
--
通讯作者:
M. Bayoumi
M. Bayoumi
中科院分区:
--
文献类型:
--
作者:
Y. Long;M. Bayoumi

文献摘要

被引文献

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本文研究非线性仿射系统的状态反馈稳定问题。我们的目的是提供一种通过神经网络构建控制李亚普诺夫函数的方法。然后,在反馈控制器中明确使用 Lyapunov 函数来稳定动态系统。<<ETX>>
This paper deals with the state feedback stabilization problem of nonlinear affine systems. Our purpose is to provide a method for constructing a control Lyapunov function via neural networks. The Lyapunov function is then used explicitly in the feedback controller to stabilize the dynamic system.<<ETX>>