一类参数不确定系统的输出反馈自适应稳定控制设计

研究一类n阶、相对阶为n-m(n为任意自然数,m≤n为非负整数)参数不确定系统的输出反馈自适应镇定控制设计问题.所给出的控制器适用于相对阶为n-m的n阶系统.通过引入一个新型的3n+2m阶动态补偿器,构造性地给出了输出反馈自适应镇定控制器的显式表达.所设计的控制器使得闭环系统所有信号有界或渐近稳定.     

H∞强镇定问题的新解法

H∞强镇定问题可解的原始算法是依赖于一个解存在的充分条件．自然的此算法应用起来有一定的局限性．针对此问题，首先给出H∞强镇定问题可解的一个充要条件．并说明该条件在计算上很容易实现的．并由此充要条件出发设计了一个简单且实际可行的算法．该算法实际上没有局限性，而且比较利于计算机编程．最后举例说明新算法与H∞强镇定问题可解的原有算法相比，具有更大的优点．     

带有结构性不确定的线性时变系统的二次镇定及H~∞控制

本文讨论了带有结构性不确定的线性时变系统的二次镇定问题.建立了H∞指标γ和RDE及RDI之间的等价关系,并给出了带有结构性不确定线性时变系统二次稳定的充分条件;在此基础上将带有结构性不确定线性时变系统的鲁棒动态补偿器设计转化成求解一个相应的确定性辅助线性时变系统的标准H~∞控制问题.     

线性广义时滞系统的H∞输出反馈控制器

本文首先给出了广义时滞系统稳定的一个充分条件，接着讨论了线性广义时滞系统的H∞输出反馈控制，给出了控制器存在的充分条件，同时利用线性矩阵不等式(LMI)的方法，给出控制器的设计，最后举例说明本文方法的可行性．     

二阶线性微分方程复振荡的若干结果

本文给出了方程（１１）具有一个（或两个线性无关）解其零点收敛指数小于（或不小于）Ａ（ｚ）的增长级的必要条件（或充分条件）．我们得到了４个定理并且推广了Ｉ．Ｌａｉｎｅ的两个结果，我们还证明了如果Ａ（ｚ）是无穷级的整函数，则方程（１．１）的任两线性无关解或者无零点或者至少有一解其零点收敛指数为无穷．     

实多项式有纯虚零点的代数判据

多项式零点分布的研究,在数学的许多分枝及工程应用中都有重要意义.其中人们最关心的问题之一是,判定一个多项式是否为 Hurwitz 多项式,即它的零点是否均具有负实部.对此著名的 Routh-Hurwitz (代数)判据和 Nyquist (频域)判据已给出了完全的解答.近年来,鲁棒反馈镇定等问题的研究,又提出了判定系数在某一范围内变动的一簇多项式的稳定性问题.这方面最引人注目的是 Kharitonov 的结果及随后人们所作的各     

一类非线性不确定系统的全局指数镇定

研究一类非线性不确定系统的全局指数镇定问题.提出了连续反馈控制器的设计方法,并给出一类非线性不确定系统全局指数镇定的充分条件.如果充分条件得到满足,证明了提出的连续反馈控制使得闭环系统是全局指数稳定的.实例表明了所得结果的有效性.     

几类时变系统的稳定性的新判据

本文利用文[1]—[4]关于区间矩阵或区间对称矩阵的稳定性判据给出了时变线性系统(dx)/(dt)=A(t)x(1)和具有时滞的线性系统(dx(t))/(dt)=A(t)x(t) B(t)x(t-τ)(2)的零解渐近稳定的充分条件,并利用文献[5]的引理给出了时变直接控制系统(?)的绝对稳定性的充分条件.我们将以上时变系统的稳定性判定归结为有限个常数矩阵的稳定性判定,或者通过所构造的常数矩阵的主子式符号或谱半径来判断.对矩阵 A(t),B(t)不要求缓变,也无任何结构上的特殊要求.     

具有时变时滞的不确定离散广义系统的稳定与镇定

本文主要研究具有时变时滞的不确定离散广义系统的稳定性与镇定.利用线性矩阵不等式方法,给出了具有时变时滞的离散广义系统稳定的充分条件,推广了历算广义系统稳定与镇定的相关结果.     

SP.n矩阵的分解

J.J．Johnson在1974年给出了P．n．P矩阵的谱性质具有一负特征值的充分条件及P．n矩阵的两个增性质．许多国内同仁也于近几年从分析偏负阵的Schur补入手，从特殊到一般，得到了一系列偏负阵的判定方法．本文在偏负阵判定方法的基础上，专门对偏负阵的分解进行论述，得出了对称偏负阵能进行三角分解和正交分解的充要条件．     

时变系统的稳定化

This paper deals with the stabilization problem for linear time-varying systems within the framework of nest algebras. We give a necessary and sufficient condition for a class of plants to be stabilizable, and we also study the simultaneous and strong stabilization problems.     

一组系统的同时稳定化

本文利用Youla参数化方法研究了多于3个系统的一组线性时变系统的同时稳定化问题,给出了这样系统稳定的一个充要条件.     

Simultaneous stabilization of linear plants by a low order controller

We consider simultaneous stabilization of linear scalar stationary plants of second order and derive an easily verified necessary condition of simultaneous stabilization, as well as a sufficient condition that leads to a constructive algorithm for a stabilizing controller. The existence of a stabilizing controller is established in the parametric polynomial space by a method that finds the stability radii of polynomials.     

On some approaches to the simultaneous stabilization of linear plants by a controller of a given structure

In the present paper, we consider the problem of simultaneous stabilization of linear scalar stationary plants of arbitrary order for which we obtain numerically verifiable necessary conditions for simultaneous stabilization and a sufficient condition with the indication of a constructive algorithm for synthesizing a stabilizing controller. We also consider the problem of extending the set of simultaneously stabilized plants. For the solution of these problems, we use an approach based on the analysis of the structure of stability domains in the spaces of coefficients of polynomials linearly depending on parameters.     

Algorithms for constructing controllers simultaneously stabilizing second-order linear plants

We consider the simultaneous stabilization problem for second-order linear scalar stationary plants and obtain an easy-to-verify necessary condition for simultaneous stabilization as well as a sufficient condition with a constructive algorithm for designing a stabilizing controller. The problem of extending a set of simultaneously stabilizable plants is considered as well. To solve these problems, we use an approach based on the consideration of parametric spaces of polynomials and transfer functions and on a method for finding the stability radii of the polynomials.     

Stability and stabilization of impulsive switched system with inappropriate impulsive switching signals under asynchronous switching

The main objective of this paper is to study the stability and stabilization problems for a class of impulsive switched systems with inappropriate impulsive switching signals under asynchronous switching. Here, “inappropriate” means that the impulse jump moment may be inconsistent with the asynchronous switching moment or the system switching moment. And “asynchronous” implies that the switching of controller modes lags behind that of system modes. The hybrid case of stable or unstable subsystems combining with stable and unstable impulses is explored. A novel Lyapunov-like function is constructed, which is discontinuous at some special instants, including the switching instants, the instants when the system modes and filter modes are matched, and the impulse jump instants. Based on the novel multiple Lyapunov-like function, the sufficient conditions for the closed loop system to be globally uniformly exponentially stable (GUES) are obtained with admissible edge-dependent switching signals. Furthermore, by excogitating the state-feedback switching controller, the gain matrix of the controller can be obtained by solving the linear matrix inequalities. Finally, two numerical examples and simulation results are given to prove the effectiveness of our main results.     

时变线性系统的同时稳定性

本文在算子理论框架下研究离散时变线性系统的同时稳定性.给出一个仅依赖于单边强表示的同时稳定性判据和同时镇定控制器的参数化.     

Stabilization of time-delay neural networks via delayed pinning impulses

This paper studies the pinning stabilization problem of time-delay neural networks. A new pinning delayed-impulsive controller is proposed to stabilize the neural networks with delays. First, we consider the general nonlinear time-delay systems with delayed impulses, and establish several global exponential stability criteria by employing the method of Lyapunov functionals. Our results are then applied to obtain sufficient conditions under which the proposed pinning controller can exponentially stabilize the time-delay neural networks. It is shown that the global exponential stabilization of delayed neural networks can be effectively realized by controlling a small portion of neurons in the networks via delayed impulses, and, for fixed impulsive control gain, increasing the impulse delay or decreasing the number of neurons to be pinned at the impulsive moments will lead to high frequency of impulses added the corresponding neurons. Numerical examples are provided to illustrate the theoretical results, which demonstrate that our results are less conservative than the results reported in the existing literatures when the proposed pinning controller reduces to the delayed impulsive controller.     

Dynamic feedback control and exponential stabilization of a compound system

We studied the exponential stabilization problem of a compounded system composed of a flow equation and an Euler–Bernoulli beam, which is equivalent to a cantilever Euler–Bernoulli beam with a delay controller. We designed a dynamic feedback controller that stabilizes exponentially the system provided that the eigenvalues of the free system are not the zeros of controller. In this paper we described the design detail of the dynamic feedback controller and proved its stabilization property.