Robust reliable H_∞ control for discrete-time Markov jump linear systems with actuator failures

The robust reliable H∞ control problem for discrete-time Markovian jump systems with actuator failures is studied. A more practical model of actuator failures than outage is considered. Based on the state feedback method, the resulting closed-loop systems are reliable in that they remain robust stochastically stable and satisfy a certain level of H∞ disturbance attenuation not only when all actuators are operational, but also in case of some actuator failures, The solvability condition of controllers can be equivalent to a feasibility problem of coupled linear matrix inequalities （LMIs）. A numerical example is also given to illustrate the design procedures and their effectiveness.

广义Markov跳变系统在一般转移率下的鲁棒无源控制

研究一类转移率具有不确定性且部分未知的随机广义Markov跳变系统的鲁棒无源控制问题.通过构造Lyapunov函数,运用自由权矩阵的方法给出了该系统随机容许且无源的充分条件,进而设计状态反馈无源控制器,使闭环系统是随机容许且无源的.控制器可通过求解相应的线性矩阵不等式得到.

参数不确定离散马尔可夫跳跃广义系统的鲁棒输出反馈镇定

讨论了含参数不确定的离散马尔可夫跳跃广义系统的鲁棒输出反馈镇定问题。基于受限系统等价（r.s.e.）变换和通过引入新的状态变量,将所讨论的广义系统等价转换为离散马尔可夫跳跃标准线性系统。通过对转换后的系统进行讨论,得到了使闭环系统正则、因果且随机稳定的鲁棒输出反馈控制器存在的线性矩阵不等式充分条件,该控制器可以是降阶的。最后用一个数值算例说明了文中方法的有效性。

不确定离散马尔可夫跳跃奇异系统的鲁棒H_∞饱和控制(英文)

讨论了含饱和执行器的不确定离散马尔可夫跳跃奇异系统的鲁棒H∞控制问题.首先,给出了一个保证离散马尔可夫跳跃奇异系统正则、因果、有界状态稳定且满足 H∞性能的充分条件.然后,在此条件下,解决了不确定系统的鲁棒 H∞饱和控制问题,并基于线性矩阵不等式(LMI),给出了鲁棒 H∞状态反馈控制器的设计方法.最后,用一个数值算例验证了本文方法的有效性.

时变时滞不确定离散Markov跳跃广义系统的鲁棒输出反馈镇定

考虑了时滞不确定离散Markov跳跃线性广义系统的鲁棒稳定性和动态输出反馈镇定问题,时滞是时变的且不确定是范数有界的参数不确定。对所讨论的广义系统进行受限系统等价变换,然后引进新的状态变量,将原有系统等价转换为时滞Markov跳跃标准线性系统。通过构建一个新颖的Lyapunov-Krasovskii函数,得到了判定系统正则、因果和鲁棒随机稳定的线性矩阵不等式(linear matrix inequality,LMI)的充分条件。对于转移概率已知和未知但是具有上界的情形,分别给出了动态输出反馈控制器的设计方法。最后,数值算例验证了本文方法的有效性。

Stability analysis and stabilization of networked linear systems with random packet losses

This paper is concerned with the stability analysis and stabilization of networked discrete-time and sampled-data linear systems with random packet losses. Asymptotic stability, mean-square stability, and stochastic stability are considered. For networked discrete-time linear systems, the packet loss period is assumed to be a finite-state Markov chain. We establish that the mean-square stability of a related discrete-time system which evolves in random time implies the mean-square stability of the system in deterministic time by using the equivalence of stability properties of Markovian jump linear systems in random time. We also establish the equivalence of asymptotic stability for the systems in deterministic discrete time and in random time. For networked sampled-data systems, a binary Markov chain is used to characterize the packet loss phenomenon of the network. In this case, the packet loss period between two transmission instants is driven by an identically independently distributed sequence assuming any positive values. Two approaches, namely the Markov jump linear system approach and randomly sampled system approach, are introduced. Based on the stability results derived, we present methods for stabilization of networked sampled-data systems in terms of matrix inequalities. Numerical examples are given to illustrate the design methods of stabilizing controllers.

一类非线性离散广义马尔可夫跳跃系统的静态输出反馈镇定

讨论了一类非线性离散广义马尔可夫跳跃系统的静态输出反馈镇定问题。非线性函数满足二次受限条件。首先给出了保证非线性离散广义马尔可夫跳跃系统正则、因果,在原点的邻域内有惟一解,且随机稳定的一个线性矩阵不等式(linear matrix inequality,LMI)充分条件。然后利用奇异值分解方法,给出了静态输出反馈控制器的设计方法。最后用一个数值算例验证了本文方法的有效性。