Based on the linear matrix inequality and adaptive approach, a state feedback adaptive controller is designed, which make the closed-loop system is asymptotically stable.
利用线性矩阵不等式技术和自适应参数估计方法，设计鲁棒自适应控制器，从而保证闭环系统渐近稳定。
A delayed state feedback law is presented to stabilize the inertia wheel pendulum, which guarantees the closed-loop system to be globally asymptotically stable in the presence of time delays.
用一个时滞状态反馈控制律镇定惯性轮倒立摆，不仅保证闭环系统全局渐近稳定，还允许闭环系统承受一定的时滞。
Based on designing the observer, a switching strategy and sub-controller, which use the observer value, are designed to guarantee that the closed-loop system is exponentially asymptotically stable.
在所设计的观测器基础上，以系统状态的观测值为依据设计各子控制器和切换方案，使整个闭环系统是指数渐近稳定的。
By the limit probability theory, it is shown that the closed-loop system is almost surely uniformly stable, and the control law is asymptotically optimal.
利用概率极限理论，证明了闭环系统的几乎必然一致稳定性和控制律的渐近最优性。
By Lyapunov candidate function method, this paper concludes that the closed-loop system is globally uniformly asymptotically stable at origin.
用李雅普·诺夫候选函数方法，得出了在该控制律作用下的闭环系统在原点具有全局一致渐近稳定性的结论。
The high-gain parameter is appropriately chosen to make the zero solution of the closed-loop system globally asymptotically stable in probability, and regulate the output to the origin almost surely.
高增益参数选择适当使零的解决方案，闭环系统全局渐近稳定的概率，并调节输出的起源几乎可以肯定。
The high-gain parameter is appropriately chosen to make the zero solution of the closed-loop system globally asymptotically stable in probability, and regulate the output to the origin almost surely.
高增益参数选择适当使零的解决方案，闭环系统全局渐近稳定的概率，并调节输出的起源几乎可以肯定。
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