Book Announcement of L. Celentano, Robust Tracking Controllers Design with Generic References for Continuous and Discrete Uncertain Linear SISO Systems, LAP LAMBERT Academic Publishing, 2012

In this book new results on controller design techniques for the tracking of generic reference inputs are presented. They allow the design of a controller for an uncertain process, either continuous or discrete-time, without zeros, and with measurable state. The controller guarantees that the control system is Type 1 and has the desired constant gain and poles or that the control system tracks, with a specified maximum error and with a specified maximum time constant, a generic reference with bounded derivative (variation in the discrete-time case), also in the presence of a generic disturbance with bounded derivative (variation). In addition, it is considered the case in which the reference is known a priori. The utility and the efficiency of the proposed methods are illustrated with attractive and significant examples of motion control and temperature control. This book is useful for the design of control systems, especially for manufacturing systems, that are versatile, fast, precise and robust.

Robust H_∞ control for discrete-time polytopic uncertain systems with linear fractional vertices

The robust H∞ control problem for discrete-time uncertain systems is investigated in this paper. The uncertain systems are modelled as a polytopic type with linear fractional uncertainty in the vertices. A new linear matrix inequality (LMI) characterization of the H∞ performance for discrete systems is given by introducing a matrix slack variable which decouples the matrix of a Lyapunov function candidate and the parametric matrices of the system. This feature enables one to derive sufficient conditions for discrete uncertain systems by using parameter-dependent Lyapunov functions with less conservativeness. Based on the result, H∞ performance analysis and controller design are carried out. A numerical example is included to demonstrate the effectiveness of the proposed results.

Peak-to-Peak Gain Minimization for Uncertain Linear Discrete Systems： A Matrix Inequality Approach

为不明确的线性分离系统的一个班的 peak-to-peak 获得最小化的一条矩阵不平等途径被学习。我们最小化 * 是导致的 L 标准上的最好的上面的界限的 -norm, 由与逃避不了的椭圆体围住可达到的集合获得了，而不是直接最小化导致的 L 标准。基于这个想法，柔韧的 peak-to-peak 获得最小化的问题和控制器合成被归结为解决一套矩阵不平等的可行性问题。一个数字例子被用来表明介绍方法的可行性和有效性。

Iterative learning based fault diagnosis for discrete linear uncertain systems

In order to detect and estimate faults in discrete lin-ear time-varying uncertain systems, the discrete iterative learning strategy is applied in fault diagnosis, and a novel fault detection and estimation algorithm is proposed. And the threshold limited technology is adopted in the proposed algorithm. Within the chosen optimal time region, residual signals are used in the proposed algorithm to correct the introduced virtual faults with iterative learning rules, making the virtual faults close to these occurred in practical systems. And the same method is repeated in the rest optimal time regions, thereby reaching the aim of fault diagnosis. The proposed algorithm not only completes fault detection and estimation for discrete linear time-varying uncertain systems, but also improves the reliability of fault detection and decreases the false alarm rate. The final simulation results verify the validity of the proposed algorithm.

LMI Approach to Suboptimal Guaranteed Cost Control for 2-D Discrete Uncertain Systems

This paper studies the problem of the guaranteed cost control via static-state feedback controllers for a class of two-dimensional (2-D) discrete systems described by the Fornasini-Marchesini second local state-space (FMSLSS) model with norm bounded uncertainties. A convex optimization problem with linear matrix inequality (LMI) constraints is formulated to design the suboptimal guaranteed cost controller which ensures the quadratic stability of the closed-loop system and minimizes the associated closed-loop cost function. Application of the proposed controller design method is illustrated with the help of one example.

Robust Optimal H∞ Control for Uncertain 2-D Discrete State-Delayed Systems Described by the General Model

This paper investigates the problem of robust optimal H∞ control for uncertain two-dimensional (2-D) discrete state-delayed systems described by the general model (GM) with norm-bounded uncertainties. A sufficient condition for the existence of g-suboptimal robust H∞ state feedback controllers is established, based on linear matrix inequality (LMI) approach. Moreover, a convex optimization problem is developed to design a robust optimal state feedback controller which minimizes the H∞ noise attenuation level of the resulting closed-loop system. Finally, two illustrative examples are given to demonstrate the effectiveness of the proposed method.

Delay-Dependent Robust H∞ Control for Uncertain 2-D Discrete State Delay Systems Described by the General Model

This paper considers the problem of delay-dependent robust optimal H∞ control for a class of uncertain two-dimensional (2-D) discrete state delay systems described by the general model (GM). The parameter uncertainties are assumed to be norm-bounded. A linear matrix inequality (LMI)-based sufficient condition for the existence of delay-dependent g-suboptimal state feedback robust H∞ controllers which guarantees not only the asymptotic stability of the closed-loop system, but also the H∞ noise attenuation g over all admissible parameter uncertainties is established. Furthermore, a convex optimization problem is formulated to design a delay-dependent state feedback robust optimal H∞ controller which minimizes the H∞ noise attenuation g of the closed-loop system. Finally, an illustrative example is provided to demonstrate the effectiveness of the proposed method.

Robust Suboptimal Guaranteed Cost Control for 2-D Discrete Systems Described by Fornasini-Marchesini First Model

This paper considers the guaranteed cost control problem for a class of two-dimensional (2-D) uncertain discrete systems described by the Fornasini-Marchesini (FM) first model with norm-bounded uncertainties. New linear matrix inequality (LMI) based characterizations are presented for the existence of static-state feedback guaranteed cost controller which guarantees not only the asymptotic stability of closed loop systems, but also an adequate performance bound over all the admissible parameter uncertainties. Moreover, a convex optimization problem is formulated to select the suboptimal guaranteed cost controller which minimizes the upper bound of the closed-loop cost function.

时变不确定离散时滞系统的H_∞鲁棒控制

研究了一类线性不确定离散时滞系统的H∞ 鲁棒控制问题 ,其时变不确定项是范数有界的 ,但无需满足匹配条件 .基于线性矩阵不等式 (LMI)方法 ,得到了可H∞ 鲁棒镇定的一个充分条件 .通过求解一个特定的线性矩阵不等式 ,即可获得H∞ 状态反馈控制器 .

线性离散时滞系统鲁棒严格耗散控制

提出线性离散时滞系统的耗散控制问题 ,研究无记忆状态反馈控制律存在的条件及相应的控制器设计方法 ,以使相应的闭环系统渐近稳定 ,同时具有严格 (Q,S,R) -耗散性 .进一步考虑耗散的不确定性 ,研究不确定系统鲁棒严格耗散控制的分析与综合问题 .结果表明 ,鲁棒耗散控制器存在的条件和综合问题等价于线性矩阵不等式 (LMI)的可解性问题 .

基于2-D系统理论的D型闭环迭代学习控制

将2-D线性连续-离散系统理论应用于连续线性迭代学习控制系统中, 给出能很好反映迭代学习控制过程的数学模型—2-D线性连续-离散系统Roessor模型.在2-D系统理论基础上证明了D型闭环迭代学习控制律的收敛性.根据该理论设计的闭环迭代学习控制器,受到的限制较小.

参数不确定性系统的鲁棒控制器数字化再设计研究

针对一类参数不确定性系统离散控制器设计问题,给出其近似离散化模型的推导过程,将采样周期作为系统参数,保证扰动和参数变化下系统模型的相容性性质。利用数字化再设计方法,把离散控制器和连续控制器的全局状态匹配转换为凸优化问题,与控制器鲁棒稳定性条件统一到线性矩阵不等式框架下进行数值求解。仿真实例验证了所提方法的有效性,表明所设计的鲁棒控制器性能优于采用常规离散化方法所设计的控制器。

一类离散时滞不确定系统的鲁棒控制

讨论了一类离散线性时滞不确定系统的鲁棒控制问题。利用Lyapunov方法,结合矩阵不等式性质,给出离散时滞系统对所有允许不确定性鲁棒稳定的充分条件,并设计出系统的状态反馈鲁棒控制器,所得结果分别基于相应的线性矩阵不等式(LMI)的解。

不确定离散广义线性系统的保性能最优控制

对一类具有范数有界时不变参数不确定性的广义离散时间线性系统和一个二次型性能指标,研究了其最优保性能状态反馈控制律的设计问题。通过采用线性矩阵不等式方法,导出了存在保性能控制律的一个充分条件,进而证明了该条件可化为一个线性矩阵不等式的可解性问题,并用这组线性矩阵不等式的可行解给出了保性能控制律的一个参数化表示。在此基础上,通过建立并求解一个凸优化问题,给出了最优保性能控制律的设计方法,最后用例子说明了该方法的应用。

基于2-D线性连续—离散系统理论的P型闭环迭代学习控制

将2-D线性连续-离散系统理论应用于迭代学习控制中,给出能很好反映迭代学习控制过程的数学模型(2-D线性连续-离散系统Roessor模型)。在2-D系统理论基础上证明了P型闭环迭代学习控制律的收敛性。根据该系统理论设计的闭环迭代学习控制器,受到的限制较小。

带有卡尔曼滤波的灰色补偿PID控制器设计

改进一类带有随机噪声的离散线性不确定系统,提出了一种带有卡尔曼滤波器的灰色补偿PID控制器设计方法.该方法分为两个阶段进行,第一阶段采用带有卡尔曼滤波器的PID控制器进行控制,对符合匹配条件的不确定参数进行估计;第二阶段经过N步后,在上述控制律基础上,按估计参数加上灰色补偿控制.研究结果表明:该方法不仅能精确估计出系统的不确定参数,实现对系统不确定部分的有效补偿,而且经过卡尔曼滤波后使系统能够有效地抑制随机噪声的干扰,增强了系统的鲁棒性.仿真结果验证了该方法的有效性,对该类系统在控制领域的应用具有一定的指导意义.

不确定离散时滞系统的D稳定性研究

研究了时滞不确定系统的D稳定性问题 .当系统参数在某一确定的区间变化时 ,该控制器能保证闭环系统的正则性、因果性和D稳定性 .利用线性矩阵不等式 (LMI)的解给出了控制器的设计方法 .

一类不确定线性离散系统有限时间观测器设计

针对一类不确定线性离散系统有限时间观测器最优设计问题,利用线性矩阵不等式方法以及有限时间有界的概念,给出了具有不确定外部扰动输入的线性离散系统有限时间有界的充分条件。对具有状态反馈和输出的线性不确定离散系统引入有限时间观测器的概念,可以保证在给定的有限时间区间内,观测误差小于一个给定的界,并给出了最优有限时间观测器的具体设计方案。此方案的有效性可以通过仿真实验得到验证。

线性定常连续系统离散化的一种简单方法

提出了一种线性连续系统转化为离散系统的简单而实用的方法，给出了与双线性变换的仿真比较。

不确定非线性离散系统的保成本控制

研究了一类带有状态和输入延迟的范数有界的不确定非线性离散系统的保成本控制问题。应用Lyapunov稳定性理论和线性矩阵不等式方法,提出了状态反馈控制器存在的充分条件,同时设计的控制器能够确保系统对于所允许的不确定性是渐近稳定的且性能指标不会超过某一给定的上界,因此保成本问题解决。最后通过仿真算例,验证了所提方法的有效性。