在设计控制系统时，滑模控制滑模面通过最小化最优价值函数得到，控制器采用饱和控制器。
In the process of control design, the sliding surface of sliding mode control is determined by minimizing the optimal cost function, and the controller is the saturation controller.
针对控制增益为未知常数和未知函数两种情形，分别提出分散自适应滑模控制器设计新方案。
Considering two cases that the system has constant control gains or function control gams, two novel decentralized adaptive sliding mode control schemes are presented, respectively.
在积分滑模控制与非线性微分控制中，分别给出了切换函数、非线性微分系数及控制器的设计方法。
Present the design method of switching function in integral sliding mode control, nonlinear derivative coefficient and controllers of DI-SVSC respectively.
通过在切换函数中引入跟踪误差积分项，消除了传统滑模变结构控制需要被跟踪信号导数已知的假设。
The switching function includes the integral of tracking error to avoid assuming that the derivative of desired signal must be known in conventional sliding mode variable structure control.
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.
给出了积分滑模控制中切换函数的定义方法，以及非线性微分控制中微分系数的非线性函数表达式。
The switching function of integral sliding mode control is defined, and the nonlinear expression of derivative coefficient is presented.
模型用带扰动观测器补偿的滑模变结构控制，对控制函数切换并受滑动模态控制。
Owing to applying the model of sliding mode variable-structure control that has compensation of disturbance monitor, switching control function was controlled by sliding mode.
采用RBF神经网络逼近系统未知的非线性函数，引入滑模误差对其权值进行在线自适应调整，改善动态性能。
RBF neural network is proposed to approximate unknown nonlinear function. Sliding mode error is used to adaptively tune its weights online. Dynamics performance is improved.
基于充液飞行器的简化模型，在状态空间中设计控制规律以约束状态至滑模。滑模通过在一个约化空间中求解最优控制问题获得，其解是角速度作为姿态变量的函数。
A control law, that constrains the state to follow the sliding mode in the state space, is designed on the basis of a nonlinear, simplified model of the completely liquid-filled spacecraft dynamics.
通过一种新学习算法的导出，并结合模糊逻辑系统中的模糊基函数，给出了一种带有通用规则库的模糊滑模自适应控制器。
Universal optimization for adjustable parameters of fuzzy based function is realized by using GA and finding adjust law of parameters in general designing adaptive controller is replaced.
通过一种新学习算法的导出，并结合模糊逻辑系统中的模糊基函数，给出了一种带有通用规则库的模糊滑模自适应控制器。
Universal optimization for adjustable parameters of fuzzy based function is realized by using GA and finding adjust law of parameters in general designing adaptive controller is replaced.
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