In this paper, a practical backstepping design scheme is proposed for synchronizing nonlinear systems.
将该方法用于同步系统的设计，给出了一个具体可行的同步设计过程。
It introduces the SMC in backstepping design to modify the last step of backstepping algorithm and simplify the design of controller.
该方法通过在反演设计中引入滑模控制来改进反演的最后一步算法，并简化控制器的设计。
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 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。
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。
Firstly, the design procedure of the robust Backstepping controller was described and correlative problems were proposed.
首先，阐述了鲁棒反演控制器的设计及稳定性证明；
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。
Based on the system, a design scheme of reduced-order adaptive backstepping controller is given.
基于该系统，给出了一种降阶自适应反推控制器的设计方案。
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。
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。
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