广义系统输出反馈严格正实控制器设计

研究连续广义系统的正实控制问题。目的是设计静态输出反馈和动态输出反馈严格正实控制器使得闭环系统容许且扩展严格正实。基于广义系统严格正实引理，利用线性矩阵不等式和广义代数Riccati不等式，给出了广义系统静态输出反馈和动态输出反馈严格正实控制器存在的充要条件及设计方法。对动态输出反馈情形，给出了一个数值算例说明控制器设计方法的有效性及可行性。     

离散广义系统的鲁棒严格正实控制

研究确定的以及具有范数有界不确定性的离散广义系统的严格正实分析和控制问题,首先给出了确定离散广义系统状态反馈扩展严格正实控制器的存在条件和设计方法；然后利用线性矩阵不等式分析了不确定离散广义系统广义二次稳定且扩展严格正实的条件，讨论了状态反馈使闭环系统广义二次稳定且扩展严格正实问题，给出了状态反馈鲁棒扩展严格正实控制器的综合方法；最后通过数值算例说明了所提出方法的有效性．     

广义系统正实反馈控制的一种新方法

研究了广义连续系统的扩展严格正实的控制问题.首先,利用与原系统等价的增广系统和矩阵分解,给出了广义系统正则,无脉冲,稳定且扩展严格正实的一个新的充分必要条件.并且此条件是便于Matlab求解的严格线性矩阵不等式形式.其次,基于此定理和线性矩阵不等式的性质,给出了保证闭环系统是正则,无脉冲,稳定且ESPR的控制器设计方法.最后通过2个数值算例说明了所提出方法的有效性和可行性.     

数值界不确定性奇异大系统分散鲁棒H∞广义输出反馈控制

用矩阵不等式方法研究了数值界不确定性奇异大系统的广义输出反馈分散鲁棒H∞控制问题．基于有界实引理，提出了存在分散鲁棒广义输出反馈H∞控制器的矩阵不等式条件，并采用同伦迭代算法来获得控制器的参数．数值算例表明该方法求解简单，证明了它的有效性．     

数值界不确定性关联大系统分散鲁棒H∞输出反馈控制

研究一类状态矩阵、控制矩阵及关联矩阵中存在数值界不确定性关联大系统的分散鲁棒H∞输出反馈控制器设计方法．基于有界实引理，将控制器的存在条件归结为一个非线性矩阵不等式，采用同伦迭代方法求解控制器，使闭环大系统鲁棒稳定，并且满足给定的H∞性能指标．最后通过仿真验证了该方法的有效性．     

不确定广义系统的弹性H∞保性能控制

利用线性矩阵不等式（LMI）方法，研究被控对象与控制器同时存在摄动的H∞保性能控制问题。针对控制器存在加法式摄动情形，以线性矩阵不等式约束条件给出了广义系统弹性H∞保性能的充分条件，并以线性矩阵不等式的可行解给出了相应的控制器设计方法。通过求解具有线性矩阵不等式约束的凸优化问题，给出了弹性H∞最优保性能及最优H∞性能控制器的设计方法。仿真表明了方法的可行性。     

输出反馈严格正实控制器设计

基于强严格正实引理，采用线性矩阵不等式方法讨论一般严格正实控制问题的解，给出了任意阶输出反馈严格正实控制器的存在条件和所有控制器的参数化形式。     

线性广义时滞系统的H∞状态反馈控制器

首先利用线性矩阵不等式(LMI)方法，给出线性广义时滞系统稳定的一个充分条件；然后讨论线性广义时滞系统的H∞状态反馈控制，给出控制器存在的充分条件，同时给出控制器的设计，控制器可由线性矩阵不等式解得；最后举例说明了所提出方法的可行性。     

一种有效的不确定分数阶T-S模糊系统的控制器设计方法

考虑分数阶非线性系统的稳定和镇定问题,基于线性矩阵不等式(LMI)方法,对分数阶T-S模糊系统进行研究.利用并行分布补偿法,设计分数阶T-S模糊系统的控制器.考虑阶次满足$0<\alpha<1$的分数阶系统,给出可以利用Matlab求解的LMI形式的T-S模糊控制器设计镇定判据.该判据的优点是可以处理具有正实部特征根的分数阶T-S模糊系统的稳定性和镇定问题,能够保持与Matignon分数阶系统稳定性结论的一致性,并克服其他方法只能处理特征根在负实部的方法的局限性和保守性.数值仿真结果验证了所提控制器设计方法的有效性.     

连续T-S模糊系统的严格二次型耗散控制

研究一类连续Ｔ-Ｓ模糊系统的严格二次型耗散控制问题,给出了保证系统严格二次型耗散稳定的状态反馈控制器的设计方法．控制器可通过求解一组线性矩阵不等式获得,所得结果不仅提供了解决犎∞ 控制与正实控制的统一框架,而且提供了一种更灵活、保守性更小的控制器设计方法．最后通过仿真说明了所提出方法的有效性、可行性和优越性．     

Non-fragile positive real control for uncertain linear neutral delay systems

This paper is concerned with the problem of non-fragile positive real control for uncertain neutral delay systems with time-invariant norm-bounded parameter uncertainty. Time delays are assumed to appear in both the state and the controlled output equations. The state feedback gains are with norm-bounded controller uncertainties. For both the cases with additive and multiplicative controller uncertainties, we address the problem of designing memoryless state feedback controllers such that, for all admissible uncertainties, the resulting closed-loop system is stable and the closed-loop transfer function is extended strictly positive real. Sufficient conditions for the existence of desired controllers are given in terms of linear matrix inequalities (LMIs). When these LMIs are feasible, the expected memoryless state feedback controller can be easily constructed via convex optimization. An illustrative example is given to demonstrate the validity and applicability of the proposed approach.     

鲁棒严格正实控制器设计

基于强严格正实引理使用线性矩阵不等式方法讨论了参数不确定线性系统鲁棒严格正实控制器的综合问题,提出了二次严格正实的新概念,证明了静态状态反馈解的存在性,并给出了状态反馈壮次严格正实控制器的存在条件和综合方法。     

Finite frequency positive real control for singularly perturbed systems

In this paper, strictly positive real control for singularly perturbed systems in (semi)finite frequency ranges is studied. For the general linear systems, necessary and sufficient conditions for the existence of a stabilizing state feedback controller are given based on the generalized KYP lemma, and use the results to study singularly perturbed systems, a composite state feedback controller is constructed, which preserves the stability and positive real property.     

Positive real control problem for uncertain linear time-invariant systems

This paper focuses on positive real control of linear time-invariant systems which are subjected to norm-bounded uncertainties in the state equation. We address the problem of designing a linear dynamic output feedback controller that robustly stabilizes the uncertain system and achieves the extended strict positive realness property for a given closed-loop transfer function. It is shown that a solution to the above problem can be obtained by solving a scaled strict positive real control problem for which no parameter uncertainty occurs.     

定常线性系统的正性和最优性

本文从正实函数和最优控制系统理论出发,讨论了定常线性系统的正性和最优性之间的关系,从而得出,一个定常线性系统经稳定的常增益最优状态反馈后得到的闭环系统是正的;反之,一个正系统,经过单位输出负反馈得到的闭环系统是稳定的和最优的。     

H∞ and positive-real control for linear neutraldelay systems

This note is concerned with the H_∞ and positive-real control problems for linear neutral delay systems. The purpose of H_∞ control is the design of a memoryless state feedback controller which stabilizes the neutral delay system and reduces the H_∞ norm of the closed-loop transfer function from the disturbance to the controlled output to a prescribed level, while the purpose of positive-real control is to design a memoryless state feedback controller such that the resulting closed-loop system is stable and the closed-loop transfer function is extended strictly positive real. Sufficient conditions for the existence of the desired controllers are given in terms of a linear matrix inequality (LMI). When this LMI is feasible, the expected memoryless state feedback controllers can be easily constructed via convex optimization     

Positive real control of two-dimensional systems: Roesser models and linear repetitive processes

This paper considers the problem of positive real control for two-dimensional (2-D) discrete systems described by the Roesser model and also discrete linear repetitive processes, which are another distinct sub-class of 2-D linear systems of both systems theoretic and applications interest. The purpose of this paper is to design a dynamic output feedback controller such that the resulting closed-loop system is asymptotically stable and the closed-loop system transfer function from the disturbance to the controlled output is extended strictly positive real. We first establish a version of positive realness for 2-D discrete systems described by the Roesser state space model, then a sufficient condition for the existence of the desired output feedback controllers is obtained in terms of four LMIs. When these LMIs are feasible, an explicit parameterization of the desired output feedback controllers is given. We then apply a similar approach to discrete linear repetitive processes represented in their equivalent 1-D state-space form. Finally, we provide numerical examples to demonstrate the applicability of the approach.