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A stable feedback control of the buffer state using the controlled Lagrange multiplier method

机译:使用受控Lagrange乘法器方法对缓冲区状态进行稳定的反馈控制

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摘要

We propose a stable feedback control algorithm of the buffer state using the controlled Lagrange multiplier in combined rate-distortion characteristics for a buffer-constrained adaptive quantization. The proposed algorithm is established using feedback control theory and is described by the state equation with nonlinearity in the feedback path. The nonlinearity of the state equation comes from the average distortion-rate curve of the information source. The stability of this buffer control algorithm is shown using Lyapunov stability theory. It is shown that the stability of the algorithm depends on average distortion-rate curve and buffer size, and sufficient conditions for the algorithm to be stable are obtained from the usual average distortion-rate curve. In addition, it is observed from experimental results that the performance of the proposed algorithm and the optimal algorithm is not significantly different. Although the proposed algorithm does not provide optimal performance, the algorithm can be implemented easily with quite low computational complexity, as compared with others.
机译:我们提出了一种在组合速率失真特性中使用受控拉格朗日乘数的稳定状态缓冲器状态反馈控制算法,用于缓冲器约束的自适应量化。该算法是利用反馈控制理论建立的,并由状态方程描述,该状态方程在反馈路径中具有非线性。状态方程的非线性来自信息源的平均失真率曲线。利用李雅普诺夫稳定性理论证明了该缓冲器控制算法的稳定性。结果表明,算法的稳定性取决于平均畸变率曲线和缓冲区大小,并且可以从通常的平均畸变率曲线中获得足够的条件来使算法稳定。另外,从实验结果可以看出,该算法与最优算法的性能差异不大。尽管所提出的算法不能提供最佳性能,但是与其他算法相比,该算法可以轻松实现,并且计算复杂度很低。

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