奇异摄动系统H∞问题的进一步研究*

本文给出奇异摄动系统Ｈ∞问题有解的一个简洁的ε－独立充要条件，并给出Ｈ∞控制器的具体形式。同时本文证明该控制器料具有奇异摄动性，并且其快、慢部分分别为原系统的快、慢子系统之Ｈ∞问题的次优控制器。本文结果亦适用于非标准摄动情形。     

奇异摄动系统主导极点配置的一种方法

本文将奇异摄动系统看成是存在参数扰动的广义系统的一种特殊形式，然后利用广义系统特征结构配置来使广义系统的有限闭环极点尽可能接近奇异摄动系统的闭环主导极点，从而达到近似配置奇异摄动系统主导极点的目的。本文提供的算法是数值稳定的。     

奇异摄动时滞系统次优控制的Chebyshev多项式级数方法

研究奇异摄动时滞系统次优控制的近似设计问题.基于奇异摄动的快慢分解理论,将系统的最优控制问题转化为无时滞快子问题和线性时滞慢子问题;利用Chebyshev多项式级数方法将时滞慢子问题的近似求解问题转化为线性代数方程组的求解问题,进而得到原系统的次优控制律,该控制律由Chebyshev多项式级数的基向量表示.仿真算例表明了该方法的有效性.     

受扰奇异摄动时滞组合大系统的近似最优控制

研究一类受扰奇异摄动时滞组合大系统的近似最优控制问题．基于奇异摄动的快慢分解理论．将原组合大系统的最优控制问题分解为组合线性快优化子问题和降阶的受扰时滞组合慢优化子问题．通过采用前馈补偿方法抑制外部扰动，采用参数摄动法求解组合慢优化子问题，得到了系统的前馈反馈组合（FFCC）控制律．通过引入降维扰动观测器解决了FFCC律的物理可实现问题．仿真算例验证了所提出方法的有效性．     

基于奇异摄动法的水下机器人优化PID控制

为了提高水下机器人位置控制的精确性,降低因系统耦合而造成的位置误差,提出了针对六自由度水下机器人的奇异摄动系统建模及控制方法.首先对水下机器人的姿态和位置进行动力学建模,将速度、角速度作为快变量,位置、姿态作为慢变量,从而把模型转换为奇异摄动系统模型,再对奇异摄动系统模型进行快慢分解,对快慢系统分别设计PID控制律,最...     

含正弦扰动奇异摄动时滞系统的最优减振控制

研究奇异摄动时滞系统在正弦扰动下的最优减振控制问题．基于奇异摄动的快慢分解理论,将原最优控制问题转化为无时滞快子问题和受扰线性时滞慢子问题,通过摄动法和前馈补偿技术求解时滞慢子系统的最优控制问题,得到了系统的前馈反馈组合控制(FFCC)律及其存在唯一性条件．FFCC律由线性解析项和共态向量无穷级数和表示的时滞补偿项组成,其中线性解析项可通过求解Riccati方程和Sylvester方程得到,时滞补偿项通过递推求解共态向量方程得到,仿真算例表明了方法的有效性．     

双连杆柔性机械手负载自适应模糊滑模控制

讨论了柔性机械手末端负载变化时的控制问题.应用奇异摄动将双连杆柔性机械手系统分解为慢变、快变两个子系统.提出一种慢变子系统采用自适应模糊滑模控制、快变子系统采用最优控制的混合控制方法.仿真结果表明,该方法不仅能实现柔性机械手轨迹的快速、准确跟踪,有效的抑制弹性振动,并且对负载的变化具有强的鲁棒性.     

基于奇异摄动的柔性关节机械臂智能控制设计研究

为了优化柔性关节机械臂的控制性能,提出一种新型奇异摄动控制方法。该方法引入奇异摄动,把柔性关节机械臂的动力模型转换为快变与慢变双模型。在慢变模型中,利用输出反馈与扰动因子范数,设计扰动增益,根据增益变化调节控制律,改善系统抗噪能力。在快变模型中,引入状态变量与饱和函数,改进控制率,从而改善控制算法的收敛性。仿真实验结果表明,本文提出的新型奇异摄动方法启动速度更快,显著提高柔性关节机械臂的控制精度与调节速度,具有更好的鲁棒性。     

力矩输入有界的柔性关节机器人轨迹跟踪控制

为解决柔性关节机器人在关节驱动力矩输出受限情况下的轨迹跟踪控制问题,提出一种基于奇异摄动理论的有界控制器.首先,利用奇异摄动理论将柔性关节机器人动力学模型解耦成快、慢两个子系统.然后,引入一类平滑饱和函数和径向基函数神经网络非线性逼近手段,依据反步策略设计了针对慢子系统的有界控制器.在快子系统的有界控制器设计中,通过关节弹性力矩跟踪误差的滤波处理加速系统的收敛.同时,在快、慢子系统控制器中均采用模糊逻辑实现控制参数的在线动态自调整.此外,结合李雅普诺夫稳定理论给出了严格的系统稳定性证明.最后,通过仿真对比实验验证了所提出控制方法的有效性和优越性.     

双连杆柔性机械手负载自适应模糊滑模控制

讨论了柔性机械手末端负载变化时的控制问题。应用奇异摄动将双连杆柔性机械手系统分解为慢变、快变两个子系统。提出一种慢变子系统采用自适应模糊滑模控制、快变子系统采用最优控制的混合控制方法。仿真结果表明,该方法不仅能实现柔性机械手轨迹的快速、准确跟踪,有效的抑制弹性振动,并且对负载的变化具有强的鲁棒性。     

Robust stability of non-standard nonlinear singularly perturbed discrete systems with uncertainties

In the past several decades, the singularly perturbed discrete systems have received much attention for the stability analysis and controller design. Recently, there are some results about the nonlinear singularly perturbed discrete systems. Compared with the existing result, we consider the robust stability of the uncertain nonlinear singularly perturbed discrete systems with the less conservative assumption via the Lyapunov function method. Moreover, the previous results of the singularly perturbed discrete system are only applied to the system, which is composed of the slow part and the fast part, separately. However, we consider the non-standard nonlinear singularly perturbed discrete system in which the slow part and the fast part coexist, that is, a general case of the nonlinear singularly perturbed discrete systems. Then, by using the lower-order subsystems from two standard systems, we present the robust stability of the non-standard nonlinear singularly perturbed discrete system with uncertainties.     

离散奇异摄动系统稳定性分析

讨论了关于离散奇异摄动系统的摄动稳定性解析条件, 给出了离散奇异摄动系统两种模型下的摄动稳定性充要条件. 通过分析状态矩阵的结构特性, 得出了系统稳定所需要的状态矩阵形式和限制条件. 同时, 通过广义系统途径也得到了 2-D 离散奇异摄动 Roessor 模型稳定的充分条件.     

Order Reduction Is Invalid for Singularly Perturbed Control Problems with a Vector Fast Variable

The order reduction method for singularly perturbed optimal control systems consists of employing the system obtained while setting the small parameter to zero. In many situations the differential-algebraic system thus obtained indeed provides an appropriate approximation to the singularly perturbed optimal control problem under consideration. In this paper we show, however, that the set of singularly perturbed optimal control systems for which the order reduction approach is invalid is dense (in the L ^∞ norm) in the class of systems which we consider. This is established under the assumption that the fast variable in the singularly perturbed system is not a scalar. Date received: June 8, 2001. Date revised: December 30, 2001.     

Exponential stability of singularly perturbed systems with time delay and uncertainties

Recently, there are several studies on singularly perturbed systems with time delay and uncertainties. However, the existing results show only the limited results on either time delay or uncertainties. For time delay, small time delay or time delay only on the slow state are considered while, for uncertainties, the uncertain linear singularly perturbed system or the uncertain nonlinear singularly perturbed system with the conservative condition on uncertainties are considered. In this paper, the exponential stability of singularly perturbed systems with both time delay and uncertainties is investigated in the general form.     

Balanced realizations of singularly perturbed systems

Balanced realizations of linear time-invariant singularly perturbed systems are studied. The reduced model of a singularly perturbed system that is obtained, based on the balanced realization, is compared to that obtained by time-scale considerations. An approximate balancing transformation for singularly perturbed systems is constructed based on balancing transformations of the approximating slow and fast subsystems.     

Contraction-based stabilisation of nonlinear singularly perturbed systems and application to high gain feedback

Recent development of contraction theory-based analysis has opened the door for inspecting differential behaviour of singularly perturbed systems. In this paper, a contraction theory-based framework is proposed for stabilisation of singularly perturbed systems. The primary objective is to design a feedback controller to achieve bounded tracking error for both standard and non-standard singularly perturbed systems. This framework provides relaxation over traditional quadratic Lyapunov-based method as there is no need to satisfy interconnection conditions during controller design algorithm. Moreover, the stability bound does not depend on smallness of singularly perturbed parameter and robust to additive bounded uncertainties. Combined with high gain scaling, the proposed technique is shown to assure contraction of approximate feedback linearisable systems. These findings extend the class of nonlinear systems which can be made contracting.     

奇异摄动系统的H∞控制: 基于奇异系统的方法

实际系统的奇异系统模型往往通过忽略系统的奇异摄动系统模型微分项系数矩阵中的小时间参数得到.然而, 传统的奇异系统控制器设计很少考虑微分项系数矩阵的摄动. 本文拓展了现有奇异系统输出动态反馈H_∞控制器的设计, 使得当实际闭环系统中存在小时间参数时, 仍然能保持稳定并且满足一定的H_∞性能指标. 仿真算例说明了本文提出方法的有效性.     

基于广义KYP 引理方法的奇异摄动系统有限频段正实性能分析

基于广义KYP引理,研究了奇异摄动系统的有限频段正实性能.根据奇异摄动系统的双频标特性,即有低频和高频两种频域尺度,应用广义KYP引理,分别研究了奇异摄动系统的降阶子系统在其低频段和高频段的正实性,并以线性矩阵不等式形式给出了上述子系统在有限频段正实的充分必要条件.在此基础上,进一步证明了奇异摄动系统在一定条件下是部分频段正实的.     

On the Klimushchev–Krasovskii theorem

The Klimushchev–Krasovskii theorem describes a sufficient condition for the asymptotic stability of singularly perturbed systems. Motivated by some subtle examples, this note presents a new necessary and sufficient condition by imposing an additional assumption on the statement of the Klimushchev–Krasovskii theorem. This note also extends the main inertia theorem to singularly perturbed systems.     

$H_{infty}$ Filtering for Fuzzy Singularly Perturbed Systems

This paper considers the problem of designing $H_{infty}$ filters for fuzzy singularly perturbed systems with the consideration of improving the bound of singular-perturbation parameter $epsilon$. First, a linear-matrix-inequality (LMI)-based approach is presented for simultaneously designing the bound of the singularly perturbed parameter $epsilon$, and $H_{infty}$ filters for a fuzzy singularly perturbed system. When the bound of singularly perturbed parameter $epsilon$ is not under consideration, the result reduces to an LMI-based design method for $H_{infty}$ filtering of fuzzy singularly perturbed systems. Furthermore, a method is given for evaluating the upper bound of singularly perturbed parameter subject to the constraint that the considered system is to be with a prescribed $H_{infty}$ performance bound, and the upper bound can be obtained by solving a generalized eigenvalue problem. Finally, numerical examples are given to illustrate the effectiveness of the proposed methods.