The problem of digital implementation of continuous adaptive backstepping control based on MT-filter Is studied.
研究了基于MT -滤波器的连续自适应反推控制的数字实现问题。
Based on adaptive backstepping control techniques and fuzzy-neural theory, a sliding mode control scheme is proposed for missile control systems with uncertainties.
阐述了在导弹系统存在不确定性情况下，基于自适应反演控制技术和模糊神经网络理论，提出了一种导弹滑模控制系统设计方法。
Backstepping control called a novel nonlinear strategy is one of the high focus research in ac servo drive for simple arithmetic and facility project implementation.
反推控制是一种新颖的非线性控制策略，算法简单，易于工程实现，是目前交流伺服控制研究热点之一。
Backstepping control scheme was an effective way to design control laws of a cascade system. Quaternion-based attitude equations of a rigid body was a typical cascade system.
退步控制是一种有效设计级联系统控制律的方法，而基于单位四元数的刚体姿态方程就是一种典型的级联系统。
This study brings forward backstepping control based on nonlinear control strategy as a possible way to implement close-loop speed-control based on the characteristic of fans load.
针对风机负载的特点，提出一种基于非线性控制策略的反推控制，实现了速度闭环控制。
A nonlinear speed controller for permanent magnet synchronous motor based on adaptive backstepping control was designed, which USES second-order filter to smooth the speed reference.
设计了一种基于自适应反步控制的永磁同步电动机非线性速度控制器，采用二阶滤波环节平滑速度指令。
The proposed controller combines backstepping control, sliding mode control, and pole placement techniques to arrive at a controller capable of dealing with the system with uncertainties.
该设计方法结合了反演控制设计方法、滑模控制理论及极点配置技术，对系统不确定性具有较强的鲁棒性。
Based on RBF neural networks and backstepping control techniques, a nonlinear adaptive controller design method is proposed for missile control systems with a general set of uncertainties.
在导弹系统存在广义不确定性情况下，提出了一种基于反演设计技术和RBF神经网络的导弹非线性自适应控制系统设计方法。
The newly designed backstepping control is implemented for permanent magnet synchronous motor (PMSM) to track speed commands, at the same time the design can provide better speed tracking performance.
设计的反推控制可以实现永磁同步电动机速度跟踪控制，保证系统具有良好的速度跟踪性能。
With external disturbances and uncertain parameters, an adaptive backstepping sliding mode control scheme was developed.
针对外部扰动与参数不确定的情况，提出一种自适应反演滑模控制方案。
The control design is achieved by using backstepping, tuning functions, SDU factorization and estimating parameters.
通过综合应用反推、调节函数、SDU分解和估计参数，得到了控制器的设计。
The controller expression with undetermined parameters can be acquired by using backstepping design idea, and the controller parameters are optimized online by using model predictive control.
用反步设计思想获得具有待定参数的控制器表达式，然后用预测控制在线优化获得控制器的参数。
The chattering of sliding controller is reduced clearly. The control scheme is designed using backstepping.
基于反演法，给出了系统控制器的设计步骤。
The chattering of sliding controller is reduced clearly. The control scheme is designed using backstepping.
基于反演法，给出了系统控制器的设计步骤。
应用推荐