摘要
针对一类非线性时滞系统 ,首先不考虑故障情况 ,设计了一种控制器 ,使得系统在控制器的作用下 ,对于任意的初始状态都能控制到原点。然后针对可能发生的故障 ,利用神经网络的在线建模能力 ,以其输出作为原有控制律的附加控制信号来补偿故障对系统的影响 ,从而构成了一种可靠控制器 ,实现了该类系统的可靠控制。
For a class of nonlinear time-delay systems, firstly a controller is designed regardless of possible faults such that the system states can asymptotically converge to zero for any initial value under the controller's action. Then using the online modeling ability of RBF neural network, a reliable controller is constructed by adding a control signal derived from the RBF neural network to deal with possible faults, thus a reliabiliy control is realized for this class of systems.;
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2002年第1期66-69,共4页
Systems Engineering and Electronics
关键词
非线性系统
时滞系统
可靠性控制
系统稳定性
Nonlinear system
Time-delay system
Reliablility control
System stability