Robust Stability and Stabilization of Discrete Singular Systems with Interval Time-varying Delay and Linear Fractional Uncertainty

The robust stability and robust stabilization problems for discrete singular systems with interval time-varying delay and linear fractional uncertainty are discussed. A new delay-dependent criterion is established for the nominal discrete singular delay systems to be regular, causal and stable by employing the linear matrix inequality （LMI） approach. It is shown that the newly proposed criterion can provide less conservative results than some existing ones. Then, with this criterion, the problems of robust stability and robust stabilization for uncertain discrete singular delay systems are solved, and the delay-dependent LMI conditions are obtained. Finally, numerical examples are given to illustrate the effectiveness of the proposed approach.

Fault detection filter design for linear discrete time-varying systems with multiplicative noise

The problem of fault detection for linear discrete timevarying systems with multiplicative noise is dealt with.By using an observer-based robust fault detection filter（FDF） as a residual generator,the design of the FDF is formulated in the framework of H ∞ filtering for a class of stochastic time-varying systems.A sufficient condition for the existence of the FDF is derived in terms of a Riccati equation.The determination of the parameter matrices of the filter is converted into a quadratic optimization problem,and an analytical solution of the parameter matrices is obtained by solving the Riccati equation.Numerical examples are given to illustrate the effectiveness of the proposed method.

Scheme of optimal fault detection for linear discrete time-varying systems with delayed state

This paper deals with the problem of the optimal fault detection (FD) for linear discrete time-varying (LDTV) systems with delayed state and l(2)-norm bounded unknown input. The novelty lies in the designing of an evaluation function for the robust FD. The basic idea is to directly construct an evaluation function by using a weighted l(2)-norm of the measurement output, which achieves an optimal trade-off between the sensitivity to fault and the robustness to l(2)-norm bounded unknown input. To avoid complex computation, a feasible solution is obtained via the recursive computation by applying the orthogonal projection. It is shown that such an evaluation function provides a unified scheme for both the cases of unknown input being l(2)-norm bounded and jointly normal distribution, while a threshold may be chosen based on a priori knowledge of unknown input. A numerical example is given to demonstrate the effectiveness of the proposed method.

Real-Valued Discrete Gabor Transform of Linear Time-Varying Systems: Exact Representation and Approximation

An efficient algorithm for the representation and approximation of linear time-varying systems is presented via the fast real-valued discrete Gabor transform. Compared with the existing algorithm based on the traditional complex-valued discrete Gabor transform, the proposed algorithm runs faster, can more easily be implemented in software or hardware, and leads to a more compact representation. Simulation results are given for demonstration.

Improved Results on Robust H_∞ Control of Uncertain Discrete-time Systems with Time-varying Delay

In this paper, the robust H∞ control problem for uncertain discrete-time systems with time-varying state delay is con- sidered. Based on the Lyapunov functional method, and by resorting to the new technique for estimating the upper bound of the difference of the Lyapunov functional, a new less conservative sufficient condition for the existence of a robust H∞ controller is obtained. Moreover, the cone complementary linearisation procedure is employed to solve the nonconvex feasibility problem. Finally, several numerical examples are presented to show the effectiveness and less conservativeness of the proposed method.

Delay-dependent robust H-infinity control for discrete-time uncertain systems with time-varying state delays

This paper examines the delay-dependent H-infinity control problem for discrete-time linear systems with time-varying state delays and norm-bounded uncertainties. A new inequality for the finite sum of quadratic terms is first established. Then, some new delay-dependent criteria are derived by employing the new inequality to guarantee the robust stability of a closed-loop system with a prescribed H-infinity norm bound for all admissible uncertainties and bounded time-vary delays. A numerical example demonstrates that the proposed method is an improvement over existing ones.

Novel l_2-l_∞ controller design for LPV discrete time-delay systems

One of the first attempts to derive energy-to-peak performance criteria and state-feedback controller design problem for linear parameter-varying discrete time systems with time delay is provided. Firstly, we present a parameter-dependent l 2-l ∞ performance criterion using a parameter-dependent Lyapunov function. Upon the conditions addressed, an improved parameter-dependent l 2-l ∞ performance criterion is established by the introduction of a slack variable, which exhibits a kind of decoupling between Lyapunov functions and system matrices. This kind of decoupling enables us to obtain more easily tractable conditions for analysis and synthesis problems. Then, the corresponding parameter-dependent state-feedback controller design is investigated upon these performance criteria, with sufficient conditions obtained for the existence of admissible controllers in terms of parameterized linear matrix inequalities. Finally, a numerical example is provided to illustrate the feasibility and advantage of the proposed controller design procedure.

A High-order Internal Model Based Iterative Learning Control Scheme for Discrete Linear Time-varying Systems

In this paper, an iterative learning control algorithm is proposed for discrete linear time-varying systems to track iterationvarying desired trajectories. A high-order internal model(HOIM) is utilized to describe the variation of desired trajectories in the iteration domain. In the sequel, the HOIM is incorporated into the design of learning gains. The learning convergence in the iteration axis can be guaranteed with rigorous proof. The simulation results with permanent magnet linear motors(PMLM) demonstrate that the proposed HOIM based approach yields good performance and achieves perfect tracking.

H_∞Control of Uncertain Fuzzy Networked Control Systems with State Quantization

The problem of robust H∞ control for uncertain discrete-time Takagi and Sugeno (T-S) fuzzy networked control systems (NCSs) is investigated in this paper subject to state quantization. By taking into consideration network induced delays and packet dropouts, an improved model of network-based control is developed. A less conservative delay-dependent stability condition for the closed NCSs is derived by employing a fuzzy Lyapunov-Krasovskii functional. Robust H∞ fuzzy controller is constructed that guarantee asymptotic stabilization of the NCSs and expressed in LMI-based conditions. A numerical example illustrates the effectiveness of the developed technique.

On the l_2-stability of time-varying linear and nonlinear discrete-time MIMO systems

New conditions are derived for the l2-stability of time-varying linear and nonlinear discrete-time multiple-input multipleoutput （MIMO） systems, having a linear time time-invariant block with the transfer function F（z）, in negative feedback with a matrix of periodic/aperiodic gains A（k）, k = 0,1, 2,... and a vector of certain classes of non-monotone/monotone nonlinearities φp（-）, without restrictions on their slopes and also not requiring path-independence of their line integrals. The stability conditions, which are derived in the frequency domain, have the following features： i） They involve the positive definiteness of the real part （as evaluated on ｜z｜ = 1） of the product of Г （z） and a matrix multiplier function of z. ii） For periodic A（k）, one class of multiplier functions can be chosen so as to impose no constraint on the rate of variations A（k）, but for aperiodic A（k）, which allows a more general multiplier function, constraints are imposed on certain global averages of the generalized eigenvalues of （A（k ＋ 1）,A（k））, k = 1, 2 iii） They are distinct from and less restrictive than recent results in the literature.

New results on robust H-infinity control for discrete-time systems with interval time-varying delays

This paper deals with delay-dependent robust H-infinity control for uncertain discrete-time systems with interval time-varying delay. By using a new Lyapunov functional and the convex combination method, a new delay-dependent stability criterion is established. Some redundant variable matrices are removed in the new conditions, which makes the obtained results more efficient. Then, an iterative algorithm based on the cone complementarity Linearization method is proposed to obtain the delay-dependent robust H-infinity controller. Numerical examples are given to show the effectiveness of the proposed method.

具有时变时滞的离散切换系统的鲁棒H_∞控制

利用多Lyapunov函数方法,研究一类具有时变时滞的线性离散切换系统的鲁棒H∞控制问题.在每个子系统都不能实现鲁棒H∞控制的假设条件下,基于切换状态反馈控制策略,给出了系统实现鲁棒H∞控制的充分条件,且这一条件可以表示成与时滞界相关的线性矩阵不等式(LMI)的形式,还分别给出了切换律和鲁棒H∞切换控制器的设计方案,并讨论了时滞界与H∞性能的关系.最后的仿真例子表明了结论的有效性.

改进的时变时滞不确定离散系统的鲁棒稳定性分析

研究了一类具有区间时变时滞的不确定离散时间系统的鲁棒稳定性问题。首先,将时滞区间分成两个子区间,在不同的子区间上通过构造不同的Lyapunov泛函,再结合一个更紧的不等式,在没有忽略任何有用项的前提下,得到了基于线性矩阵不等式形式的时滞相关的稳定性判据。证明过程既没有利用模型变换也没有引进自由权矩阵,降低了结论的保守性和计算量。数值算例说明了该方法的有效性。

基于定常线性迭代法的PSO算法收敛性分析

PSO算法本身是线性时变离散系统,现有的PSO算法收敛性条件的研究都是通过一定的假设将其转化为线性定常离散系统,线性定常离散系统的数学模型与求解线性方程组的单步定常线性迭代法的数学模型完全一致,这样对线性定常离散系统的稳定性分析就转化为对单步定常线性迭代格式的收敛性分析,为PSO算法的收敛性研究提供了一种新的思路和方法。

新的离散时变时延系统的稳定性条件

研究了一类离散时变时延系统的稳定性问题.通过定义新的Lyapunov函数并利用离散的Jensen不等式,给出了新的保证系统稳定的线性矩阵不等式条件.相比于已有的结果,这些新的条件涉及的决策变量少,并且算例表明它具有较小的保守性.

具有时变时滞的离散切换系统基于观测器的H_∞控制

利用多Lyapunov函数方法,研究一类具有时变时滞的线性离散切换系统基于观测器的H∞控制问题.通过设计对角分块形式的多Lyapunov函数矩阵,使切换律只依赖于观测状态.在基于观测器的切换反馈控制策略下,给出了系统实现H∞控制的充分条件,且条件可以表示为与时滞界相关的线性矩阵不等式(LMI)的形式,同时还给出了切换律、观测器和控制器的设计方案.最后用一个仿真例子表明了结论的有效性.

不确定离散系统的有限时域鲁棒H_∞滤波

研究了一类时变不确定离散系统的有限时域鲁棒H∞滤波问题。在系统不确定性满足范数有界的条件下,给出了有限时域鲁棒H∞滤波器存在的充分必要条件,并基于线性矩阵不等式技术给出了滤波器的构造性的设计方法。得到的滤波器对所有可容许不确定性,满足指定的性能指标。最后给出了仿真实例,仿真结果表明所设计的滤波器实现了设计要求。

2-D系统H∞输出反馈迭代学习控制器设计

针对2-D线性离散系统设计迭代学习控制器。首先,给出描述参考轨迹、初始状态、外界干扰等迭代变化参数的高阶内模。然后,聚合这些高阶内模得到增广的高阶内模并构造一种新的迭代学习控制器。针对非零边界条件和干扰的2-D Roesser模型,利用2-D分析方法提出其渐近稳定性。建立了适用于零边界条件和非零边界条件的迭代学习控制律设计准则以实现完美跟踪和2-D H∞性能,并提出了基于高阶内模的H∞输出反馈迭代学习控制器。针对控制器的求解问题,提出了两种不同的解法。最后,对一个初始温度、外界干扰迭代变化的化学反应过程的数值计算,表明了所提出的2-D控制器设计方法的有效性。

不确定线性离散时滞系统的指数稳定性

采用属于超长方体的时变参数向量描述不确定性,利用仿射依赖于参数的Lyapunov泛函研究不确定线性离散时滞系统的指数稳定性问题,由Lyapunov泛函的指数衰减性保证系统的指数稳定性.引入仿射依赖于参数的自由权矩阵分析Lyapunov泛函的指数衰减性,利用多凸函数的性质把含时变参数的矩阵不等式转化成线性矩阵不等式,从而得到了指数稳定的充分条件.由于有效利用了不确定时变参数和其增量的上下界信息,并且采用凸组合方法处理区间时变时滞,因此所得方法具有较小的保守性.最后用数值算例验证了所得方法的有效性.