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Linear quadratic regulation problem for discrete-time systems with multi-channel multiplicative noise

机译:具有多通道乘性噪声的离散时间系统的线性二次调节问题

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This paper investigates the linear quadratic regulation (LQR) problem for discrete-time systems with multiplicative noise. Multiplicative noise is usually assumed to be a scalar in existing literature works. Motivated by recent applications of networked control systems and MIMO communication technology, we consider multi-channel multiplicative noise represented by a diagonal matrix. We first show that the finite horizon LQR problem can be solved using a generalized Riccati equation. We then prove the convergence of the generalized Riccati equation under the conditions of stabilization and exact observability, and obtain the solution to the infinite horizon LQR problem. Finally, we provide a numerical example to demonstrate the proposed approach. (C) 2015 Elsevier B.V. All rights reserved.
机译:本文研究了具有乘性噪声的离散时间系统的线性二次调节(LQR)问题。在现有的文献作品中,通常假定乘性噪声是一个标量。基于网络控制系统和MIMO通信技术的最新应用,我们考虑了由对角矩阵表示的多通道乘性噪声。我们首先显示可以使用广义Riccati方程来解决有限水平LQR问题。然后,我们证明了在稳定和精确可观测性条件下广义Riccati方程的收敛性,并得到了无限水平LQR问题的解。最后,我们提供了一个数值示例来说明所提出的方法。 (C)2015 Elsevier B.V.保留所有权利。

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