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Adaptive stabilisation of discrete LTI plant with bounded disturbances via finite capacity channel

机译:通过有限容量通道的界限干扰采用离散LTI工厂的自适应稳定

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The paper is devoted to adaptive feedback stabilisation for discrete linear time-invariant plants with bounded disturbances and quantisation. The quantisation occurs due to the finite capacity of the discrete-time two-way communication channel. A simple adaptive controller based on the Yakubovich's recursive goal inequalities method is designed. The bound for the minimum channel capacity sufficient to stabilise any stabilisable system with unknown parameters is evaluated for any prespecified compact set of unknown parameters. It is shown that if the channel capacity exceeds the above bound then the upper bound for limit output error is proportional to the disturbance intensity and inversely proportional to the exponential of the channel capacity. The design and performance of the proposed algorithm are illustrated by an example.
机译:本文致力于具有有界扰动和量化的离散线性时间不变植物的自适应反馈稳定性。 由于离散时间双向通信通道的有限能力,发生量化。 设计了一种基于Yakubovich递归目标不等式方法的简单自适应控制器。 对于任何具有未知参数的最小信道容量的最小信道容量的界限被评估了任何预先确定的小型未知参数。 结果表明,如果信道容量超过上述绑定,则限制输出误差的上限与干扰强度成比例,并且与信道容量的指数成反比。 通过示例说明了所提出的算法的设计和性能。

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