摘要
针对实际系统中经常存在的多模型情况，给出了一种用神经元网络实现多模型同时镇定的设计方法。该方法以经过训练的神经网络控制器代替常规控制器，可同时镇定多个模型。最后，对一个用线性方法不能同时镇定的多模型问题，用神经网络方法实现了其同时镇定。
In the paper, a new neural net mtethod for the multi-model simultaneous stabilzation problems is given.The proposed method can replace multiple controlles controllers with a well-trained neural net controller which can stabilize multiple models simultaneously.For a multiple-model problem which cannot be stabilized simultaneously by a linear method,the proposed method can realize their simultaneous stabilizatio.
出处
《航天控制》
CSCD
北大核心
1996年第4期7-12,共6页
Aerospace Control
关键词
非线性系统
控制器
神经网络
Nonlinear System Controller Nerve Network
