A new type of non linear self repairing control strategy based on model following method using radial basis function (RBF) neural networks is presented.
提出一种基于径向基函数(RBF)神经网络的模型跟随非线性自修复控制方法。
The Go authors chose a message-passing model as their recommended method for concurrent programming. The language does still support Shared memory, however the authors have the following philosophy.
Go的作者选择了消息传递模型来作为推荐的并发编程方法。
This paper puts forward a new MRACS method using low order model, i. e. the fourth order hydraulic servo system following the first order reference model.
本文把液压伺服系统作四阶系统，跟随一阶参考模型，提出了一种新的高阶对象和低阶模型的MRACS 的方法。
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