共查询到17条相似文献,搜索用时 147 毫秒
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带有非线性不确定参数的线性系统的鲁棒稳定性和鲁棒镇定问题 总被引:8,自引:0,他引:8
研究带有非线性不确定参数的线性系统的鲁棒稳定性和鲁棒镇定问题。讨论一种有很强实际应用背景并允许带有二次不确定参数的模型,研究该系统的鲁棒稳定性和鲁棒镇定问题。以LMI的形式给出了判据,并举例证明了该方法的优越性。 相似文献
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参数不确定广义大系统的分散鲁棒镇定控制 总被引:10,自引:0,他引:10
应用线性矩阵不等式(LMI)方法研究了参数不确定广义大系统的分散鲁棒镇定控制问题,系统中不确定项具有数值界,可不满足匹配条件.基干不确定项的表达形式,给出了存在分散鲁棒控制器的LMI条件.仿真例子表明,LMI方法求解简单、便干应用。 相似文献
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非线性不确定动态时滞系统的鲁棒H∞的设计 总被引:2,自引:0,他引:2
本文研究了带有非线性不确定动态时滞系统的鲁棒H∞设计器问题,在不具备任何匹配条件的类非线性摄动条件下,通过求解Hamilton-Jacobean-Isaac不等式,来设计具有扰动衰减度γ的鲁棒H∞控制器,并通过实例验证上述方法的有效性。 相似文献
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A new approach for design of robust decentralized controllers for continuous linear time‐invariant systems is proposed using linear matrix inequalities (LMIs). The proposed method is based on closed‐loop diagonal dominance. Sufficient conditions for closed‐loop stability and closed‐loop block‐diagonal dominance are obtained. Satisfying the obtained conditions is formulated as an optimization problem with a system of LMI constraints. By adding an extra LMI constraint to the system of LMI constraints in the optimization problem, the robust control is addressed as well. Accordingly, the decentralized robust control problem for a multivariable system is reduced to an optimization problem for a system of LMI constraints to be feasible. An example is given to show the effectiveness of the proposed method. Copyright © 2010 John Wiley & Sons, Ltd. 相似文献
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输出概率密度函数鲁棒弹性最优跟踪控制 总被引:1,自引:1,他引:0
研究了一类随机动态系统的鲁棒弹性最优跟踪控制问题。在采用B样条神经网络模型逼近随机动态系统的输出概率密度函数(PDF)的基础上,同时考虑系统模型和控制器增益不确定性,结合Lyapunov稳定性理论和线性矩阵不等式(LMI)技术,引入增广控制作用,设计基于广义状态反馈的鲁棒弹性最优跟踪控制器,目的是使系统的输出PDF跟踪给定PDF。通过求解LMI,所得控制器不仅能实现跟踪目的,而且能确保该随机动态系统全局稳定并满足一定的线性二次型性能指标上界。仿真结果表明该方法简单易行,且无需任何设计参数调整。 相似文献
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In this paper, the static output feedback decentralized stabilization problem is addressed using a linear matrix inequality approach. A necessary and sufficient condition for static output feedback decentralized stabilizability is derived for linear time-invariant large-scale systems. It is proven that the existence of a stabilizing decentralized gain is equivalent to that of the solution of a quadratic matrix inequality. The extension of the result to
control is studied. An iterative LMI algorithm based on the linear matrix inequality technique is proposed to obtain the decentralized feedback gain. Examples show the effectiveness of the algorithm. 相似文献