广义线性系统的H2性能分析

利用广义Lyapunov方程,研究广义连续线性系统的稳定性,给出了一个充要条件.基于该Lyapunov方程,给出了计算广义连续线性系统的H2范数的状态空间方法.     

广义系统的H∞最优控制

研究连续广义系统的标准H2最优控制器的设计问题.利用线性分式变换方法给出该 系统的所有稳定化控制器的参数化形式,从而借助于两个广义H2代数Riccati方程和两个广义 Lyapunov方程,分别给出该系统的一个标准H2最优控制器的设计及最优H2范数的计算.最 后用一个算例进一步说明设计方法.     

广义系统的H2最优控制

研究连续广义系统的标准H2最优控制器的设计问题.利用线性分式变换方法给出该系统的所有稳定化控制器的参数化形式,从而借助于两个广义H2代数Riccati方程和两个广义Lyapunov方程,分别给出该系统的一个标准H2最优控制器的设计及最优H2范数的计算.最后用一个算例进一步说明设计方法.     

广义线性系统的鲁棒稳定性分析和综合

研究了广义线性系统的鲁棒稳定性分析与综合问题,基于广义线性系统的Ｌｙａｐｕｎｏｖ方程和Ｒｉｃｃａｔｉ方程,给出了相关的鲁棒稳定性分析与综合方法。     

广义系统具有正定解的Lyapunov方程

本文研究线性广义系统有正定解的Lyapunov方程，给出广义系统稳定等价于Lyapunov方程有正定解，进一步研究了广义系统R－能观，稳定和Lyapunov方程存在正定解三者之间的关系。基于该Lyapunov方程，给出广义系统允许（正则，稳定，无脉冲）的等价条件。     

连续时间系统多目标鲁棒滤波器设计

针对存在凸多面体参数不确定性的连续时间系统, 提出了一种广义H2/α稳定的多目标鲁棒滤波器设计方法. 基于参数依赖Lyapunov函数方法和线性矩阵不等式技术得到滤波误差系统鲁棒α稳定且具有给定广义H2性能的充分必要条件, 并通过合适的变量替换给出了广义H2/α稳定滤波器的设计方法. 最后, 给出两个算例验证本文方法的有效性.     

一类时滞系统的函数观测器设计

针对一类状态变量中含有时滞的线性系统,提出了函数观测器设计的一种参数方法。给出了函数观测器存在的充要条件。基于Lyapunov稳定理论和广义Sylvester矩阵方程的完全参数化解,给出了时滞系统函数观测器设计算法。两个数值例子说明了提出算法的简单性、有效性。该方法提供了进一步满足其他性能要求的设计自由度。     

Lipschitz广义非线性系统观测器设计

研究一类广义非线性系统的观测器设计问题．首先讨论了半正定Lyapunov函数下指数1广义非线性系统稳定及渐近稳定性,然后对一类由线性和Lipschitz非线性项组成的广义非线性系统,给出了渐近稳定观测器存在的条件,并把观测器反馈增益矩阵的设计归结为广义线性系统容许控制以及奇异值计算问题,证明了若容许广义线性系统矩阵的最小奇异值大于系统的Lipschitz常数,容许控制器增益矩阵就是待求的观测器反馈增益矩阵。     

基于 LMI 的广义系统混合H2/ H∞优化控制

研究了广义线性系统的混合H2／H∞状态反馈优化控制问题。设计一个混合H2／H∞状态反馈控制器，在满足闭环系统的容许性及H∞范数界的同时使得H2范数极小。利用线性矩阵不等式(LMI)方法得到该控制器存在的一个充分条件，并且给出闭环系统H2范数的极小上界。     

广义线性系统的干扰解耦观测器设计

提出了广义线性系统的Luenberger函数观测器关于干扰解耦的充要条件,并进一步基于广义Sylvester矩阵方程的显式通解给出了干扰解耦观测器的参数化设计方法.这种方法首先给出了观测器增益矩阵的参数表示,然后通过结合观测器增益矩阵的参数表示和提出的干扰解耦条件,给出了设计广义线性系统干扰解耦观测器的算法.数值例子说明了本文设计方法的有效性.     

Generalized Lyapunov equation and factorization of matrix polynomials

This paper presents an algorithm for the construction of a solution of the generalized Lyapunov equation. It is proved that the polynomial matrix factorization relative to the imaginary axis may be reduced to the successive solution of Lyapunov equations, i.e. the factorization is reduced to the solution of a sequence of generalized Lyapunov equations, not to the solution of generalized Riccati equation.     

Unified type non-stationary Lyapunov matrix equation — Simultaneous eigenvalue bounds

Simultaneous eigenvalue bounds for the solution of the unified non-stationary Lyapunov matrix equation are presented. When the solution becomes stationary, the results reduce to bounds of the unified type algebraic Lyapunov equation. In the limiting cases, the results reduce to bounds for the solution of the differential and difference Lyapunov equations. The bounds given in this paper are a generalization of some existing bounds obtained separately for the continuous and discrete type stationary and non-stationary Lyapunov equations.     

具有对称循环结构的大系统Riccati方程的求解

本文研究了具有对称循环结构的大系统的代数Ｒｉｃｃａｔｉ方程和Ｌｙａｐｕｎｏｖ矩阵方程的求解问题，结果表明，这类系统的代数Ｒｉｃｃａｔｉ方程和Ｌｙｐａｐｕｎｏｖ矩阵方程的求解问题可以简化为求解Ｎ／２＋１个独立的低阶方程，做为一个应用，这类系统的二次型最优控制问题和鲁棒二次型最优控制问题也可以简化。     

Lyapunov iterations for optimal control of jump linear systems atsteady state

In this paper we construct a sequence of Lyapunov algebraic equations,whose solutions converge to the solutions of the coupled algebraic Riccati equations of the optimal control problem for jump linear systems. The obtained solutions are positive semidefinite, stabilizing, and unique. The proposed algorithm is extremely efficient from the numerical point of view since it operates only on the reduced-order decoupled Lyapunov equations, Several examples are included to demonstrate the procedure     

Parallel solutions of very large sparse Lyapunov equations bybalanced BBD decompositions

In this paper, a method for the parallel solution of large sparse matrix equations is presented. The method is based on the balanced bordered block diagonal (BBD) decomposition which is applied in conjunction with the successive over-relaxation (SOR) iterative method to solve large Lyapunov equations in the Kronecker sum representation. A variety of experimental results will be presented, including solutions of Lyapunov equations with matrices as large as 1993×1993     

Bounds for the solution of the Lyapunov matrix equation — A unified approach

In recent years, several bounds have been reported for the solution of the continuous and the discrete Lyapunov equations. Using the unified Lyapunov equation, we give in this paper bounds for the solution of this equation. In the limiting cases, the bounds reduce to existing bounds for both the continuous and discrete Lyapunov equations.     

Bounds for the eigenvalues of the solution of the discrete Riccati and Lyapunov equations and the continuous Lyapunov equation

We present some bounds for the eigenvalues and certain sums and products of the eigenvalues of the solution of the discrete Riccati and Lyapunov matrix equations and the continuous Lyapunov matrix equation. Nearly all of our bounds for the discrete Riccati equation are new. The bounds for the discrete and continuous Lyapunov equations give a completion of some known bounds for the extremal eigenvalues and the determinant and the trace of the solution of the respective equation.     

Stabilization of Nonlinear Systems with Filtered Lyapunov Functions and Feedback Passivation

In this paper a generalized class of filtered Lyapunov functions is introduced, which are Lyapunov functions with time‐varying parameters satisfying certain differential equations. Filtered Lyapunov functions have the same stability properties as Lyapunov functions. Tools are given for designing composite filtered Lyapunov functions for cascaded systems. These functions are used to design globally stabilizing dynamic feedback laws for block‐feedforward systems with stabilizable linear approximation.     

Stability of non-linear systems via the intrinsic method

A new method, called the intrinsic method, is proposed in this paper to derive suitable Lyapunov functions for a general class of non-linear systems expressed in state variables as n first-order non-linear differential equations. This method, which applies the integration-by-parts procedure, derives a Lyapunov function directly from the differential equations under study.