受到自适应控制方法的启发本文提出了一种变时滞神经网络的同步和镇定的方法，并且可以基于同步对其连结权重进行估计。
Motivated by the idea of adaptive control, we proposed a scheme for the synchronization, synchronization-based parameters identification and stabilization of neural networks with time-varying delay.
针对含执行器饱和网络化控制系统，研究其镇定问题与L_2增益分析。
This paper deals with the problem of stabilization and L_2-gain analysis of networked control systems subject to actuator saturation.
本文研究了离散网络化控制系统(NCSs)的镇定、鲁棒控制以及数字网络下群体的行为。
This thesis investigates some stability and robust control problems of networked control systems (NCSs), and some behavior of swarm under digital communication network.
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