A new variable structure adaptive control scheme is proposed. The scheme consists of conventional model reference adaptive control and sliding mode control.
本文提出一种新的变结构自适应控制方法，并将其应用于航空发动机控制。
Sliding mode variable structure (SMVS) is a nonlinear control method, which is adaptive to disturbance and parameter variations.
滑模变结构控制是一种非线性控制方法，对系统的参数变化和扰动具有安全的自适应性。
For this point, many advanced control theories, such as adaptive control and fuzzy control, have been applied to variable structure system to reduce the chattering.
为了解决这一问题，许多其他的先进控制技术如自适应控制、模糊控制等也被综合应用到滑模变结构控制系统的设计中。
In this paper, adaptive control, sliding mode variable structure control and neural network are combined, a superior neural network adaptive variable structure control is introduced.
本文主要将自适应控制、变结构控制与神经网络相结合，提出性能更优越的神经网络自适应变结构控制。
Mathematical model of adaptive variable structure of control system for DC servo robot was established with nonlinear sliding mode formed with saturation type scalar functions.
采用饱和型标量函数构成非线性滑模建立直流伺服机器人控制系统的自适应变结构数学模型。
Mathematical model of adaptive variable structure of control system for DC servo robot was established with nonlinear sliding mode formed with saturation type scalar functions.
采用饱和型标量函数构成非线性滑模建立直流伺服机器人控制系统的自适应变结构数学模型。
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