In this paper, the design problem of new nonlinear state feedback for linear polynomial system is discussed.
本文就线性多项式型系统的综合问题给出一种新的非线性状态反馈设计方法。
By Using an artificial neural network, the pole assignment problem of state feedback, output feedback and dynamic output feedback compensators in linear control system are discussed.
利用人工神经网络，讨论了线性定常控制系统关于状态反馈、输出反馈及动态补偿器的极点配置问题。
The simulation results show that, compared with the linear state feedback control (LQR), this system is of fine performance and robustness to different rope lengths.
仿真结果表明了该方法的可行性，与线性状态反馈控制（LQR）相比，该方法对不同的绳长有着较好的鲁棒性。
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