H_∞ Control for 2-D Discrete State Delayed Systems in the Second FM Model

这份报纸涉及 H 控制的问题为二维(2-D ) 分离州的延期系统由第二 Fornasini 和 Marchesini (FM ) 描述了州空间当模特儿。为这个 2-D 系统有 H 噪音变细的一个足够的条件以某个线性矩阵不平等(LMI ) 被给。最佳的 H 控制器被解决一个凸的优化问题获得。最后，一个模拟例子被给说明建议结果的有效性。

Delay-Dependent Robust H∞ Control for Uncertain 2-D Discrete State Delay Systems Described by the General Model

This paper considers the problem of delay-dependent robust optimal H∞ control for a class of uncertain two-dimensional (2-D) discrete state delay systems described by the general model (GM). The parameter uncertainties are assumed to be norm-bounded. A linear matrix inequality (LMI)-based sufficient condition for the existence of delay-dependent g-suboptimal state feedback robust H∞ controllers which guarantees not only the asymptotic stability of the closed-loop system, but also the H∞ noise attenuation g over all admissible parameter uncertainties is established. Furthermore, a convex optimization problem is formulated to design a delay-dependent state feedback robust optimal H∞ controller which minimizes the H∞ noise attenuation g of the closed-loop system. Finally, an illustrative example is provided to demonstrate the effectiveness of the proposed method.

Robust Optimal H∞ Control for Uncertain 2-D Discrete State-Delayed Systems Described by the General Model

This paper investigates the problem of robust optimal H∞ control for uncertain two-dimensional (2-D) discrete state-delayed systems described by the general model (GM) with norm-bounded uncertainties. A sufficient condition for the existence of g-suboptimal robust H∞ state feedback controllers is established, based on linear matrix inequality (LMI) approach. Moreover, a convex optimization problem is developed to design a robust optimal state feedback controller which minimizes the H∞ noise attenuation level of the resulting closed-loop system. Finally, two illustrative examples are given to demonstrate the effectiveness of the proposed method.

LMI Approach to Suboptimal Guaranteed Cost Control for 2-D Discrete Uncertain Systems

This paper studies the problem of the guaranteed cost control via static-state feedback controllers for a class of two-dimensional (2-D) discrete systems described by the Fornasini-Marchesini second local state-space (FMSLSS) model with norm bounded uncertainties. A convex optimization problem with linear matrix inequality (LMI) constraints is formulated to design the suboptimal guaranteed cost controller which ensures the quadratic stability of the closed-loop system and minimizes the associated closed-loop cost function. Application of the proposed controller design method is illustrated with the help of one example.

Robust Non-Fragile Control of 2-D Discrete Uncertain Systems: An LMI Approach

This paper considers the problem of robust non-fragile control for a class of two-dimensional (2-D) discrete uncertain systems described by the Fornasini-Marchesini second local state-space (FMSLSS) model under controller gain variations. The parameter uncertainty is assumed to be norm-bounded. The problem to be addressed is the design of non-fragile robust controllers via state feedback such that the resulting closed-loop system is asymptotically stable for all admissible parameter uncertainties and controller gain variations. A sufficient condition for the existence of such controllers is derived based on the linear matrix inequality (LMI) approach combined with the Lyapunov method. Finally, a numerical example is illustrated to show the contribution of the main result.

基于2-D系统理论的变初始条件离散系统的迭代学习控制(英文)

对于具有重复运动特性的系统,迭代学习控制是一种简单有效的控制方法。为便于实时应用,所有迭代学习控制方案的设计必须在离散时间域进行。初始状态问题是学习控制设计中遇到的一个重要问题。针对具有变初始状态的离散时间系统,利用2-D线性连续-离散型系统理论设计了闭环迭代学习控制器,并给出了保证控制器收敛的充分必要条件。仿真结果证明了该方案的有效性。

广义2-D系统Roesser模型的可接受输入序列研究

通过将有限矩形上的广义 2 - D Roesser模型转化为等价的代数方程 ,给出了有限矩形上所有输入均为该系统的可接受输入的充要条件 ;利用 2 - D Z-变换以及多项式矩阵的性质 ,给出了无限矩形上所有输入均可接受的充要条件。证明了当系统的输入矩阵行满秩时 ,只要系统在某个有限矩形上的所有输入均为可接受输入 ,则在无限矩形上的所有输入也均为可接受输入。基于矩阵的初等行变换 ,提出了确定广义 2 - D系统 Roesser模型可接受输入序列集合的方法。

不确定状态饱和2-D离散系统的渐近稳定性

研究由Roesser模型描述的不确定状态饱和2-D离散系统的全局渐近稳定性。假设系统中的不确定矩阵满足强结构不确定性,利用Lyapunov函数方法,通过构造新的非负标量β给出了不确定状态饱和2-D离散系统全局渐近稳定的充分条件;同时设计了相应的算法,将不确定系统稳定性的判断转换为线性矩阵不等式(LMI)的求解,数值算例验证了所设计算法的有效性和可行性。

具有区间时变时滞2-D离散系统的时滞相关稳定与控制

针对具有区间时变时滞2-D离散系统,利用时滞相关方法,研究其稳定性与控制问题.首先选取含有时滞项上、下界的一个新的Lyapunov函数,对其差分时考虑所有项,得到了基于线性矩阵不等式(LMI)的时滞相关稳定性准则;然后给定时变时滞项的下界,再由一个凸优化问题最大化其上界,进而通过状态反馈实现系统的时滞相关控制,且求解LMI可得到增益矩阵;最后,利用数值算例说明了所得结果有效且优于已有成果.

基于Jensen不等式的2-D区间时变时滞系统的稳定与控制

考虑具有区间时变时滞二维(2-D)离散系统的时滞相关稳定性和控制问题.选取含有时滞上下界的Lyapunov函数,对其差分时考虑到所有项,结合2-DJensen不等式,由线性矩阵不等式给出系统新的时滞相关稳定性准则.准则中含有更少的待定变量,降低了数值计算负担,并且比一些已有结果具有更小的保守性.基于稳定性准则,由状态反馈实现了系统的稳定控制.最后,通过数值算例表明了所得结果的有效性和优越性.

状态饱和2-D离散系统的稳定性分析

研究由Fornasini-Marchesini(简记F-M)第二模型描述的状态饱和2-D离散系统的渐近稳定性.定义参数s_i将系统表示成部分状态饱和2-D离散系统;构造具有较少限制的矩阵Q并引入参数β,利用Lyapunov方法给出了系统全局渐近稳定性的新的判别条件;设计了基于线性矩阵不等式的求解算法,并通过数值算例验证了算法的有效性.

二维离散系统的H_∞滤波仿真研究

基于Roesser模型对二维离散系统的H∞滤波问题进行研究,讨论了二维H∞滤波器的设计方法。针对任意能量范围内的噪声输入,二维H∞滤波器能保证噪声衰减的水平。应用LMI(线性矩阵不等式)方法和黎卡提不等式方法处理二维H∞滤波问题。设计基于观测器的H∞滤波器,最后通过图像处理的相关实例进行结果仿真验证。仿真结果表明,滤波误差系统的频率响应低于指定的H∞噪音衰减水平,滤波效果明显。