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。
The control of Chen's chaotic system when its parameters are known apriori or unknown is studied by means of a simple linear state feedback method.
通过简单的线性状态反馈方法，分别在系统参数已知和未知的情况下研究了陈氏混沌系统的控制问题。
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。
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