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Indefinite LQ Optimal Control for Systems with Multiplicative Noises: The Incomplete Information Case

机译:乘性噪声系统的不确定LQ最优控制:信息不完全的情况

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The finite horizon indefinite LQ optimal output feedback control based on anti-noise materials for discrete time stochastic systems with state and control dependent multiplicative noises is considered. In the case of no standard Separation Theorem, a separation property in suboptimal sense holds as long as a generalized difference Riccati equation (GDRE) admits a solution. Then, the optimal output feedback control can be computed iteratively via a state feedback control problem and an estimation problem optimal with respect to each other. A completion of squares technique was used to derive the linear output feedback control, and an equivalent system transformation approach and the Kalman filter design method were used to obtain the recursive linear optimal state estimation algorithm.
机译:考虑具有状态和控制相关的乘性噪声的离散时间随机系统基于抗噪材料的有限层不确定LQ最优输出反馈控制。在没有标准分离定理的情况下,只要广义差分Riccati方程(GDRE)允许解,则次最佳意义上的分离属性将成立。然后,可以经由相对于彼此最优的状态反馈控制问题和估计问题来迭代地计算最优输出反馈控制。采用完备平方技术推导线性输出反馈控制,采用等效系统变换方法和卡尔曼滤波器设计方法获得递归线性最优状态估计算法。

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