线性时滞系统的耗散控制

从全新的二次型供给率的耗散角度,研究了线性时滞系统的二次稳定性和耗散控制问题,给出了线性矩阵不等式(LMI)形式的充分条件。而且,考虑了时滞系统在状态反馈控制器和动态输出反馈控制器作用下的闭环系统的二次稳定和耗散性问题,同样给出了LMI形式的充分条件,并通过线性矩阵不等式的可行解构造出耗散状态反馈控制律和动态输出反馈控制律。     

基于微分对策的最优状态观测器和最优状态反馈控制器的设计

研究了线性系统基于二次型指标的最优状态观测器和最优状态反馈控制器的设计问题．将观测状态的状态反馈和状态误差的输出反馈分别作为两个对局方,应用微分对策理论研究了系统的最优控制问题．给出了最优状态观测器和基于状态观测器的最优状态反馈控制的存在性条件．将系统的最优状态观测器和最优控制器的设计问题转化为一对Riccati方程的求解问题．研究表明最优状态观测器在一般情况下不存在．并进一步研究了基于状态观测器的次优控制问题,给出了基于LMI的优化算法．     

时间乘子二次型指标最优输出反馈调节器的设计和仿真研究

本文将时间乘子二次型指标用于MINIMAX指标最优输出反馈调节器的设计,并对设计的闭环系统进行仿真研究。结果表明,文献[1]—[6]中关于在二次型指标中引入时间乘子后可降低系统超调的论述不完全正确。     

线性离散时滞系统的输出反馈耗散控制

考虑线性离散时滞系统的二次型耗散控制问题,设计动态输出反馈使闭环系统渐近稳定且严格二次型耗散.先将系统严格二次型耗散性转化为线性矩阵不等式的可解性,得到了系统渐近稳定且严格二次型耗散的条件.然后讨论输出反馈耗散控制问题,给出了控制器的存在条件,总结出了控制器的综合方法、步骤.所得结果可为离散时滞系统的无源控制和H∞控制提供统一框架,也为离散时滞系统的分析和设计提供了一种更灵活、保守性更小的方法.     

一类奇异时滞系统的奇异二次指标最优控制问题

利用基本的代数等价变换，将一类奇异滞后系统的奇异二次指标最优控制问题转化为正常状态滞后系统的非奇异二次指标最优控制问题，并讨论了二的等价性，在一些常规条件下，给出了问题的解，并把最优控制综合为最优状态反馈。     

δ算子下的网络控制系统最优控制方法

研究网络控制系统的随机最优控制问题,提出了针对随机时延的网络控制系统最优控制律和二次型性能指标极小的控制律设计方案．在δ算子域内应用动态规划理论．设计网络控制系统的最优状态反馈和输出反馈控制律,得到的线性二次型高斯控制器可对系统中的随机长时延进行动态补偿．最后通过实例仿真验证了上述最优控制方案的可行性和有效性．     

＋不确定连续系统线性二次型次优控制问题的研究

基于静态输出反馈研究了不确定连续系统线性二次型（LQ）次优控制问题,应用线性矩阵不等式（LMI）给出了问题可解的充分条件,设计出了输出反馈控制器,保证了闭环系统的稳定。最后给出了仿数值算例说明该方法的有效性。     

线性广义系统的鲁棒严格耗散控制

利用线性矩阵不等式(LMI)方法,给出线性广义系统容许且严格耗散的充分必要条件,由此得到状态反馈和动态输出反馈严格耗散控制器的存在条件及设计方法.考虑除E外所有系数矩阵均具有范数有界时变不确定性的广义系统的鲁棒严格耗散控制问题,给出了系统广义二次稳定且严格耗散的充分条件,以及状态反馈和动态输出反馈鲁棒严格耗散控制器的存在条件及构造方法.     

一类离散时间切换系统鲁棒控制器设计

考虑一类非线性离散时间切换系统的鲁棒二次镇定和渐近镇定问题．利用公共李亚普诺夫函数方法和多李亚普诺夫函数方法，分别设计了切换系统鲁棒状态反馈控制器和输出反馈控制器，保证了切换系统的二次稳定性和渐近稳定性．仿真结果验证了所提出算法的有效性．     

线性二次型最优控制在倒立摆系统中的实现

线性二次型最优控制是一类以线性系统为被控对象,以二次型泛函指标为性能指标的最优控制问题,由于特殊的指标形式和系统对象的线性性质,使所讨论的带有等式约束的动态优化问题可以获得基于Riccati方程表达的线性状态反馈,文中给出了一种利用线性二次最优控制理论实现小车倒立摆平面运动的控制方法,并在此基础上建立了相应的数学模型,同时,利用MATLAB工具进行了计算机仿真,仿真结果表明,该方案可以得到较为满意的结果。     

Some new results on optimal and suboptimal regulators of the LQproblem with output feedback

The LQ (linear quadratic) regulator problem with output feedback is considered. In the problem studies an output feedback control is determined such that the cost is J*, the optimal cost for the LQ problem with state feedback, or βj* with some constant β>1. A set of sufficient conditions is given for determining such optimal and suboptimal output feedback control laws     

具有参数不确定性和外干扰系统的鲁棒H-状态反馈控制

本文考虑具有参数不确定性和外干扰系统的鲁棒Ｈ∞状态反馈控制问题。这个问题的解只需求解一个代数Ｒｉｃｃａｔｉ方程就可得到其状态反馈阵，且这个状态反馈阵仍保持和ＬＱ最优设计相同的形式。运用这样的状态反馈控制。即能保证具有参数不确定性系统是稳定的，又能达到Ｈ∞最优干扰抑制效果。     

Characterizing all optimal controls for an indefinite stochasticlinear quadratic control problem

This paper is concerned with a stochastic linear quadratic (LQ) control problem in the infinite-time horizon, with indefinite state and control weighting matrices in the cost function. It is shown that the solvability of this problem is equivalent to the existence of a so-called static stabilizing solution to a generalized algebraic Riccati equation. Moreover, another algebraic Riccati equation is introduced and all the possible optimal controls, including the ones in state feedback form, of the underlying LQ problem are explicitly obtained in terms of the two Riccati equations     

Computational methods for parametric LQ problems--A survey

Iterative methods for finding the optimal constant feedback gains for parametric LQ problems, notably for optimal constant output feedback problems, are surveyed. The connections of several methods to loss function expansions are discussed with important implications to the understanding of their convergence properties. Especially, the descent Anderson-Moore method, Levine-Athans like methods, and the Newton method are considered. Convergence results are also included. The initialization problem and the output feedback stabilization problem are also discussed. Furthermore, it is shown that the concepts and methods surveyed in this paper are useful in solving many realistic generalized parametric LQ problems as well, notably so-called robust parametric LQ problems.     

Locally optimal feedback strategy for non-linear systems with uncertain parameters

This paper broadens the classical optimal control approach to the optimal regulation of a non-measurable, but parametrized uncertainty. A locally optimal feedback strategy (LOFS) is derived by minimizing a measure of the performance index sensitivity with respect to the uncertainty parameter vector. In the state feedback case the LOFS can be characterized by an extension of the well-known Matrix-Riccati equation. Conditions for stability and finiteness of the resulting linear feedback law are derived for the stationary LQ case with uncertain parameters. Different numerical algorithms also covering the output feedback case are presented. Examples demonstrate the superior performance of the proposed feedback for problems with a significant parametric uncertainty.     

A new approach to the cheap LQ regulator exploiting the geometric properties of the Hamiltonian system

The cheap LQ regulator is reinterpreted as an output nulling problem which is a basic problem of the geometric control theory. In fact, solving the LQ regulator problem is equivalent to keep the output of the related Hamiltonian system identically zero. The solution lies on a controlled invariant subspace whose dimension is characterized in terms of the minimal conditioned invariant of the original system, and the optimal feedback gain is computed as the friend matrix of the resolving subspace. This study yields a new computational framework for the cheap LQ regulator, relying only on the very basic and simple tools of the geometric approach, namely the algorithms for controlled and conditioned invariant subspaces and invariant zeros.     

同时镇定：逆LQ方法

本文使用逆ＬＱ方法了同时镇定问题，首先得到了ｒ个正则ＭＩＭＯ对象可静态输出反馈同时定的充要条件，然后给出了状态反馈问题同时镇定的一种解，这些条件均以一组耦合Ｒｉｃｃａｔｉ方程和Ｒｉｃｃａｔｉ不等式的形式给出，本语文证明，任一同时镇定反馈增益均可描述为一组具有合适交叉项的耦合ＬＱ控制问题的解。