共查询到20条相似文献,搜索用时 203 毫秒
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针对随机事件驱动的网络化控制系统, 研究其中的有限时域和无限时域内最优控制器的设计问题. 首先, 根据执行器介质访问机制将网络化控制系统建模为具有多个状态的马尔科夫跳变系统; 然后, 基于动态规划和马尔科夫跳变线性系统理论设计满足二次型性能指标的最优控制序列, 通过求解耦合黎卡提方程的镇定解, 给出最优控制律的计算方法, 使得网络化控制系统均方指数稳定; 最后, 通过仿真实验表明了所提出方法的有效性.
相似文献2.
针对动态区间系统和一个给定的二次型性能指标,研究了其保性能控制问题,基于线性矩阵不等式(LMI)提出了最优保性能控制器设计方法,并将相关结果推广到参数不确定系统.利用功能强大的LMI工具,求解非常方便.所给实例表明,该方法用于设计动态区间系统与秩-1型参数不确定系统的最优保性能控制器,非常有效. 相似文献
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张伟 《计算技术与自动化》2011,30(3):20-23
基于状态反馈的线性二次型最优控制的研究已经取得了较好的效果,设计一款基于状态反馈的线性二次型最优控制器,并将它用在一个实际的状态方程中进行设计.该文所设计的控制系统结构简单,成本低,且易于实现.通过仿真实验以及性能指标的比较,仿真结果表明所设计的控制器是有效的,对系统的动态响应具有较好的跟踪效果,且抗扰能力较强. 相似文献
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提出了一种基于混沌优化线性二次最优控制器权矩阵参数的三级倒立摆控制方法;根据系统控制的目标,设计了一类适合多变量系统的优化性能指标函数;这类性能指标函数综合考虑三级倒立摆系统各个输出间的重要程度,以及动态特性和稳定性要求,结合文中的性能指标函数,首先利用混沌粗搜索得到控制器权矩阵参数的次优解,再在次优解的邻域内继续寻优,得到全局最优的权矩阵参数;利用这种方法得到的LQ控制器,有效地实现了对三级倒立摆的稳定控制。 相似文献
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二次型最优的权矩阵选择是一个包含大量经验与技巧的问题.对此,研究权矩阵与最优控制律的关系:一个最优控制律,其对应的性能指标(权矩阵)是否唯一的问题.不论是单输入还是多输入情形,在系统能控性指数大于2,对应权矩阵的对角线元素有2个不为零的元素,且满足一定条件时.该性能指标对应的最优控制律,必有另一性能指标与之对应. 相似文献
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基于动态补偿的矩形广义系统线性二次最优控制 总被引:2,自引:0,他引:2
考虑了基于动态补偿的矩形广义系统线性二次最优控制问题. 首先给出具有适当动态阶的补偿器,使得闭环系统正则、稳定、无脉冲(称为容许), 而且相关的矩阵不等式和Lyapunov方程解存在. 进一步二次性能指标可写成一个与该解和系统初值相关的表达式. 为了求解系统的最优控制问题, 将该Lyapunov方程转化为一个双线性矩阵不等式, 并给出了相应的路径跟踪算法以最小化二次性能指标, 进而得到最优补偿器. 最后, 通过数值算例说明本文方法的有效性和可行性. 相似文献
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基于线性二次型的单神经元PID最优控制器设计及仿真 总被引:1,自引:0,他引:1
讨论了线性二次型最优控制理论在神经网络PID控制系统中的应用.将二次型性能指标引入单神经元PID控制器中,设计出单神经元自适应PID最优控制器,从而实现了PID参数在线自适应寻优.给出了完整的设计过程和学习算法,分析了其稳定性.最后,运用MATLAB仿真实现证明了该方法的可行性、有效性,并得到了较为理想的控制效果. 相似文献
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讨论周期时变线性系统的一般线性二次型最优控制问题, 即状态方程为非齐次方程且二次型性能指标包含线性项的一般情况. 给出了该问题可解的一系列充分必要条件, 同时给出了最优控制的解析构造以及最优性能指标值. 相似文献
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本文针对受外部干扰的线性时不变系统研究了基于动态补偿的最优干扰抑制问题,其中干扰信号为已知动态特性的扰动信号.首先,将原系统与扰动系统联立构成增广系统,进而转化为无扰动的标准线性二次最优问题.其次,给出了经具有适当动态阶的补偿器补偿后的闭环系统渐近稳定并且相关的Lyapunov方程正定对称解存在的条件,进一步给定的二次性能指标可写成一个与该解和闭环系统初值相关的表达式.为了得到系统的最优解,将该Lyapunov方程转化为一个双线性矩阵不等式形式,并给出了相应的路径跟踪算法以求得性能指标最小值以及补偿器参数.最后,通过数值算例说明应用本文方法可以不仅能够最小化线性二次指标,而且能够使得系统的干扰得到抑制. 相似文献
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In this note, we consider the finite-horizon quadratic optimal control problem of discrete-time Markovian jump linear systems driven by a wide sense white noise sequence. We assume that the output variable and the jump parameters are available to the controller. It is desired to design a dynamic Markovian jump controller such that the closed-loop system minimizes the quadratic functional cost of the system over a finite horizon period of time. As in the case with no jumps, we show that an optimal controller can be obtained from two coupled Riccati difference equations, one associated to the optimal control problem when the state variable is available, and the other one associated to the optimal filtering problem. This is a principle of separation for the finite horizon quadratic optimal control problem for discrete-time Markovian jump linear systems. When there is only one mode of operation our results coincide with the traditional separation principle for the linear quadratic Gaussian control of discrete-time linear systems. 相似文献
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This paper presents an innovative power hardware-in-the-loop (PHiL) development platform for railway pantograph testing. A novel real-time-capable finite-element catenary model is proposed in a train-fixed moving-coordinate formulation combined with an efficient absorbing boundary layer to accurately depict railway catenary dynamics in the region around the pantograph contact point. The complex catenary dynamics is accurately and efficiently modeled, including nonlinear effects like dropper slackening, and a model-predictive impedance controller realizes the task of accurately emulating the virtual catenary dynamics on a real-world pantograph test rig. 相似文献
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The purpose of this paper is to study the mixed linear quadratic Gaussian (LQG) and H∞ optimal control problem for linear quantum stochastic systems, where the controller itself is also a quantum system, often referred to as ‘coherent feedback controller’. A lower bound of the LQG control is proved. Then two different methods, rank-constrained linear matrix inequality method and genetic algorithm are for controller design. A passive system (cavity) and a non-passive one (degenerate parametric amplifier) demonstrate the effectiveness of these two proposed algorithms. 相似文献
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Zhengdong Lei 《Asian journal of control》2014,16(2):609-616
This paper deals with the problem of H∞ guaranteed cost control for linear parameter varying (LPV) systems subject to the gain constraint. Specifically, our main goal is to design a controller such that the closed‐loop system is exponentially stable with the H∞ performance index, the quadratic performance index, and the gain within the desired constraints over the entire parameter region. In order to achieve this goal, less conservative and more practical sufficient conditions for the existence of the state feedback controller are proposed by introducing the parameter dependent Lyapunov function and many extra freedom degrees in terms of linear matrix inequalities and a free parameter matrix. The parameter matrix aspecially can regulate the gain freely without the influence of the desired performance to meet the additional design criteria enhancing the practicability and the design flexibility. As a special case, relevant results are extended to design a static output feedback controller. One numerical example is used to show advantages of the proposed approach. 相似文献
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The main focus of this paper is to develop an optimization method for the automatic fighter tracking (AFT) problem. The AFT problem is similar to a general evader–pursuer maneuvering automation problem between the dynamic systems of two highly interactive objects. This paper proposes a particle swarm optimizer-based variable feedback gain controller (PSO-based VFGC) for dealing with AFT problems. The PSO-based VFGC is designed to obtain the control value of a pursuer through an error-feedback gain controller. Once conditions of system closed-loop stability have been satisfied, the optimal feedback gains can be obtained through PSO, and the actual control values can be derived from the obtained values. Simulation results confirm the capabilities of the proposed method by comparing the results against two other methods in the field: the weight matrix value defined Ricatti equation, and the linear matrix inequality (LMI) based linear quadratic regulator (LQR). The performance of the proposed method is superior to that of its alternatives. 相似文献