espr

Robust ESPR estimation for uncertain discrete-time linear systems

不确定离散线性系统鲁棒ESPR估计

Moreover , an approach is obtainedtodesigncontrollervia convex programming algorithm such that the closed loop system is ESPR and has maximum perturbation bound under the method .

通过凸优化算法，得到了所提出方法意义下具有最大摄动界的ESPR控制器设计方法。

The problem we address is to design static output feedback and dynamic output feedback SPR controllers such that the resulting closed-loop systems are admissible and ESPR .

目的是设计静态输出反馈和动态输出反馈严格正实控制器使得闭环系统容许且扩展严格正实。

Robust ESPR estimation for uncertain discrete-time linear systems & an improved LMI approach Based-on LMIs , the sufficient condition of standard and reliable control existence are given .

通过对具有执行器故障不确定离散线性系统的分析，利用LMI分别给出了保性能标准控制器、保性能可靠控制器存在的充分条件及设计方法。

A sufficient condition of robust extended strictly positive realness ( ESPR ) ispresentedfortheuncertain systems , and it also can be utilized to estimate the perturbation bound such that ESPR holds .

给出了一个系统具有鲁棒扩展严格正实性（ESPR）的充分条件，利用该条件可估计出使系统保持ESPR的最大参数摄动范围。

Based on recent results , a new criterion for ESPR performance is proposed for discrete-time linear systems . The proposed criterion exhibits a kind of decoupling between the system matrices and the Lyapunov matrix , so the use of parameter-dependent Lyapunov functions is allowed for analysis and synthesis problems .

基于最近的结果首先提出了离散线性系统具有ESPR性能的新判据，该判据实现了系统矩阵和Lyapunov矩阵的分离，这样在系统分析和综合时可以采用参数依赖的Lyapunov函数。