一类分布时滞不确定系统的鲁棒非脆弱保性能控制器设计

研究了一类具有分布时滞的线性不确定系统的鲁棒非脆弱保性能控制问题.考虑分布时滞系统和状态反馈控制器均具有时变不确定性,通过构造新的含三重积分项的Lyapunov-Krasovskii泛函,并结合不等式推导技巧,以线性矩阵不等式形式给出了系统鲁棒非脆弱保性能控制器存在的充分条件.该方法保证了给定的二次性能函数不超过一个确定的界并且是分布时滞相关的.仿真实例表明了该方法的可行性和有效性.     

具有时变不确定性的线性时滞系统的鲁棒H_∞控制

研究具有一般形式的不确定线性时滞系统的鲁棒 H∞ 状态反馈控制器设计问题 .基于二次 H∞ 性能概念 ,首先证明了若存在鲁棒 H∞ 动态状态反馈控制器 ,则必存在鲁棒 H∞ 静态状态反馈控制器 ,然后利用线性矩阵不等式给出了鲁棒 H∞ 静态状态反馈控制器存在的充分条件和构造方法 ,最后给出一个算例验证本文方法的有效性     

具有时变不确定性的线性时滞系统的鲁棒H∞控制

研究具有一般形式的不确定线性时滞系统的鲁棒H∞状态反馈控制器设计问题.基 于二次H∞性能概念,首先证明了若存在鲁棒H∞动态状态反馈控制器,则必存在鲁棒H∞静 态状态反馈控制器,然后利用线性矩阵不等式给出了鲁棒H∞静态状态反馈控制器存在的充 分条件和构造方法,最后给出一个算例验证本文方法的有效性.     

不确定离散广义时滞系统的鲁棒非脆弱H∞控制

针对一类参数不确定离散时滞广义系统,研究其鲁棒非脆弱H∞状态反馈控制器的设计问题.系统中的不确定项参数与控制器的增益变化同时具有线性分式形式的范数有界.首先,利用Lyapunov函数理论,研究该标称系统的鲁棒H∞控制问题;其次,以线性矩阵不等式(LMI)形式给出该系统的鲁棒非脆弱H∞控制器存在的充分条件及设计方法.该控...     

一类时滞线性系统的鲁棒非脆弱控制器设计

基于线性矩阵不等式（LMI）方法,研究一类时滞线性系统的鲁棒非脆弱控制器的设计问题.在假定控制器增益扰动范数有界的前提下,对不确定时滞线性系统设计了鲁棒非脆弱状态反馈控制器,同时以一个LMI的形式给出了状态反馈控制器存在的充分条件,而且该LMI是与时滞相关的,因而具有较小的保守性.数值例子证明了该设计方法的有效性和可行性.     

线性不确定离散时滞系统的鲁棒非脆弱H∞控制

基于线性矩阵不等式(LMI)方法,研究了线性不确定离散时滞系统的鲁棒非脆弱H∞状态反馈控制器的设计问题.系统的不确定项参数和控制器的增益变化都是时变的且满足线性分式形式的范数有界.考虑了控制器增益存在加性和乘性摄动的2种情形,以LMI形式给出了非脆弱H∞控制器存在的充分条件,保证了闭环系统的鲁棒稳定性和一定的H∞衰减水平.实例表明了该设计方法的有效性.     

不确定多时滞系统非脆弱鲁棒保代价控制

针对一类含有多时滞的不确定线性系统，在控制器增益存在乘性和加性两种摄动形式时分别设计了非脆弱具有鲁棒性能的保代价控制器．利用构造的Lyapunov函数和线性矩阵不等式，证明并给出了非脆弱鲁棒保代价状态反馈控制问题有解的充分条件，仅通过求解相应的线性矩阵不等式就可得到非脆弱鲁棒保代价控制器．所设计的控制器不仅使闭环系统具有鲁棒性，能满足所给的的鲁棒保代价性能指标，而且当控制器增益参数变化时，系统性能指标同样能够满足要求．该系统对环境参数的变化具有更好的适应能力。     

一类参数不确定时滞线性系统的鲁棒非脆弱H∞控制

这篇文章研究了一类参数不确定时滞线性系统的鲁棒非脆弱H∞状态反馈控制器的设计.利用变量替换和Schur引理,得到状态反馈渐近稳定的充分条件,此充分条件能用LMI(线性矩阵不等式)形式表示.因此,所设计的控制器增益尽管在一个范围内变化,但是这个鲁棒非脆弱H∞控制器仍保证了闭环系统的渐近稳定和干扰衰减.最后实例说明所设计方法的有效性.     

不确定线性时变时滞系统的非脆弱鲁棒H￥控制器设计

基于Lyapunov稳定性理论和线性矩阵不等式方法,研究一类时滞区间已知且下限不为零的不确定时变时滞系统的非脆弱鲁棒 H￥控制器设计问题,通过构造合理的Lyapunov-Krasovskii函数,结合一种新的积分不等式的方法,得到该类时滞系统渐近稳定且满足H￥性能指标的时滞相关充分条件,并基于改进的锥补线性化迭代算法（Im-proved Cone Complementary Linearization,ICCL）给出一种具有低保守型的非脆弱鲁棒H￥状态反馈控制器的设计方法,仿真结果说明了该控制器设计方法的有效性。     

线性不确定中立型时滞系统的鲁棒二次性能

研究具有非匹配条件的范数有界线性不确定中立型时滞系统的稳定和二次性能控制问题．基于Lyapunov方法，提出了系统鲁棒渐近稳定并满足给定二次性能指标的时滞相关型条件，该条件等价干线性矩阵不等式(LMI)可解性问题，并根据LMI的可行解，构造了状态反馈控制器设计方法．     

New results on robust exponential stability of integral delay systems

The robust exponential stability of integral delay systems with exponential kernels is investigated. Sufficient delay-dependent robust conditions expressed in terms of linear matrix inequalities and matrix norms are derived by using the Lyapunov–Krasovskii functional approach. The results are combined with a new result on quadratic stabilisability of the state-feedback synthesis problem in order to derive a new linear matrix inequality methodology of designing a robust non-fragile controller for the finite spectrum assignment of input delay systems that guarantees simultaneously a numerically safe implementation and also the robustness to uncertainty in the system matrices and to perturbation in the feedback gain.     

丢包网络化控制系统非脆弱量化H∞控制

针对非线性网络化控制（NCS）系统中控制器参数存在摄动的问题,考虑传感器—控制器和控制器—执行器均存在随机丢包和量化误差,提出了一种加性非脆弱量化H_∞控制器的设计方法．利用李亚普诺夫稳定性理论和线性矩阵不等式（LMI）方法,将该问题转化为线性矩阵不等式约束和线性目标函数的凸优化问题进行求解,给出了丢包下的非脆弱量化H_∞控制器存在的充分条件．所设计的控制器在容许的参数摄动、丢包概率和量化密度条件下,不仅能保证闭环NCS的稳定性和性能要求,而且是非脆弱的．数值仿真验证了所提方法的有效性．     

含区间时变时滞的线性不确定系统非脆弱鲁棒控制

针对一类时滞是时变的且属于一个已知区间的线性系统,利用Lyapunov-Krasovskii泛函方法,结合积分不等式方法,以线性矩阵不等式的形式,给出了区间时滞线性系统的时滞相关鲁棒稳定性准则,并设计了非脆弱鲁棒控制器。数值算例表明,所得结论是有效的,具有更低的保守性。     

Delta算子系统具有极点约束的鲁棒非脆弱方差控制

研究Delta算子描述的线性不确定系统具有圆形区域极点约束的鲁棒非脆弱方差控制问题. 针对系统参数范数有界不确定性和控制器的乘性增益不确定性, 运用线性矩阵不等式(LMI)方法, 提出具有圆形区域极点约束的状态反馈鲁棒非脆弱方差控制器存在的条件和设计方法. 数值算例表明设计方法的可行性.     

Trajectory-based design of robust non-fragile controllers for a class of uncertain linear continuous-time systems

This paper deals with a design problem of robust non-fragile stabilizing controllers for a class of uncertain linear continuous-time systems. The proposed design approach of robust non-fragile controllers is based on computation of the trajectory for the uncertain linear system and differs from the existing methods based on quadratic stabilization via Lyapunov criterion. In this paper, we show that sufficient conditions for asymptotical stability of the linear system with uncertainties and controller gain variations, and a LMI-based design algorithm of a robust non-fragile controller. Furthermore, we extend the result to the design problem of decentralized robust non-fragile controllers for a class of uncertain large-scale interconnected systems. Finally, the effectiveness of the proposed design scheme of robust non-fragile controllers is shown through illustrative examples.     

Robust non-fragile guaranteed cost control of uncertain large-scale systems with time-delays in subsystem interconnections

In this paper, the robust non-fragile guaranteed cost-control problem is studied for a class of uncertain linear large-scale systems with time-delays in subsystem interconnections and given quadratic cost functions. The uncertainty in the system is assumed to be norm-bounded and time-varying. Also, the state-feedback gains for subsystems of the large-scale system are assumed to have norm-bounded controller gain variations. The problem is to design a state feedback control law such that the closed-loop system is asymptotically stable, and the closed-loop cost function value is not more than a specified upper bound for all admissible uncertainties. Sufficient conditions for the existence of such controllers are derived based on the linear matrix inequality (LMI) approach combined with the Lyapunov method. A parameterized characterization of the robust non-fragile guaranteed cost controllers is given in terms of the feasible solutions to a certain LMI. A numerical example is given to illustrate the proposed method.     

Robust reliability method for non-fragile guaranteed cost control of parametric uncertain systems

The problem of non-fragile guaranteed cost control of uncertain systems is studied from a new point of view of reliability against uncertainties. An efficient robust reliability method for the analysis and design of non-fragile guaranteed cost controller of parametric uncertain systems is presented systematically. By the method, a robust reliability measure of an uncertain control system satisfying required robust performance can be obtained, and the robustness bounds of uncertain parameters such that the control cost of a system is guaranteed can be provided. The optimal non-fragile guaranteed cost controller obtained in the paper may possess optimal guaranteed cost performance satisfying the precondition that the system is robustly reliable with respect to uncertainties occurring in both the controlled plant and controller gain. The presented formulations are in the framework of linear matrix inequality and thus can be carried out conveniently. The presented method provides an essential basis for the tradeoff between reliability and control cost in controller design of uncertain systems. Two numerical examples are provided to demonstrate the efficiency and feasibility of the presented method. It is shown that the coordination and simultaneous realization of the system performance, control cost, and robust reliability in control design of uncertain systems are significant.     

Designing of non-fragile robust model predictive control for constrained uncertain systems and its application in process control

A non-fragile robust model predictive control (RMPC) is designed in the uncertain systems under bounded control signals. To this aim, a class of the nonlinear systems with additive uncertainty is considered in its general form. The RMPC synthesis could lead to the proper selection of the controller’s gains. Thus, the non-fragile RMPC design is translated into a minimization problem subjected to some constraints in terms of linear matrix inequality (LMI). Hence, the controller’s gains are computed by solving such a minimization problem. In some numerical examples, the suggested non-fragile RMPC is compared with the other methods. The simulation results demonstrate the effectiveness of the proposed RMPC in comparison with similar techniques.