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Linear Quadratic Optimal Control of Continuous-Time LTI Systems With Random Input Gains

机译:具有随机输入增益的连续时间LTI系统的线性二次最优控制

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This note studies the linear quadratic (LQ) optimal control of continuous-time linear time-invariant systems with random gains imposed on the input channels. We start from the indefinite LQ problem, in which the cost weighting matrix can be indefinite. The definite LQ problem is discussed as a special case. The main novelty originates from the point of view that in networked control, designing the channels and controller jointly often leads to an easier problem and achieves better performance than designing them separately. Specifically, we formulate the LQ problem as a channel/controller co-design problem assuming that the channel capacities can be allocated among the input channels subject to an overall capacity constraint. Necessary and sufficient conditions are obtained for the well-posedness and the attainability of the indefinite LQ problem under a given channel capacity allocation satisfying the stabilization requirement. The optimal controller is given by a linear state feedback associated with the mean-square stabilizing solution of a modified algebraic Riccati equation.
机译:本说明研究对输入通道施加随机增益的连续时间线性时不变系统的线性二次(LQ)最优控制。我们从不确定的LQ问题开始,在该问题中,成本加权矩阵可以是不确定的。确定的LQ问题作为一种特殊情况进行了讨论。主要的新颖性源于以下观点:在网络控制中,与单独设计通道和控制器共同设计通常会导致一个更简单的问题并获得更好的性能。具体来说,我们假设将LQ问题公式化为通道/控制器协同设计问题,假设通道容量可以在输入通道中分配,但要考虑整体容量的约束。在满足稳定要求的给定信道容量分配下,获得了不确定LQ问题的适定性和可达到性的充要条件。最优控制器由与修正的代数Riccati方程的均方稳定化方案相关的线性状态反馈给出。

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