The decentralized adaptive controller is designed and the adaptive parameters are decided by the Lyapunov function in order to assure the system is stable.
该控制器对系统各通道进行分散式控制，利用李亚普诺夫函数的确定过程求解各自适应参数表达式，以保证了系统的稳定性。
This paper presents an integral sliding mode control with adaptive parameters for a class of systems satisfying some conditions when the upper bounds of uncertainties are unknown.
针对满足一定条件的一类不确定部分上界不确知的系统，提出了一种参数自适应积分滑模控制策略。
The improved BP algorithms based on adaptive parameters adjustment and error contracting gradually are presented, which are applied successfully to fault diagnosis of steam- turbine generator unit.
提出了自适应学习率及动量因子的BP神经网络算法和误差逼近度渐近收缩学习的BP神经网络算法，并将其应用于汽轮发电机组振动故障诊断与识别。
The improved BP algorithms based on adaptive parameters adjustment and error contracting gradually are presented, which are applied successfully to fault diagnosis of steam- turbine generator unit.
提出了自适应学习率及动量因子的BP神经网络算法和误差逼近度渐近收缩学习的BP神经网络算法，并将其应用于汽轮发电机组振动故障诊断与识别。
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