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Multimodel-based techniques for the identification and adaptive control of delayed multi-input multi-output systems

机译:基于多模型的技术用于延迟多输入多输出系统的识别和自适应控制

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摘要

This study introduces a novel method to identify each individual delay in multi-input multi-output linear systems with unknown external delays, and then to apply an adaptive control strategy. The solution is based on a multi-model scheme consisting of a set of tentative delay models running in parallel along with a switching mechanism aimed at progressively updating them. Moreover, the time-varying tentative delays are proved to converge to the actual delays under certain persistent excitation-type conditions on the input signals. The presented approach can be regarded as an online implementation of an heuristic optimisation method known as pattern search, very uncommon in control systems applications. Finally, numerical examples showing the effectiveness of the proposed method are included, as well as the convergence proofs and stability properties of the closed loop.
机译:这项研究引入了一种新颖的方法来识别外部延迟未知的多输入多输出线性系统中的各个延迟,然后应用自适应控制策略。该解决方案基于多模型方案,该方案由一组并行运行的暂定延迟模型以及旨在逐步更新它们的切换机制组成。此外,在某些持续激励类型条件下,输入信号上的时变暂定延迟被证明收敛到实际延迟。所提出的方法可以看作是启发式优化方法的在线实现,该方法被称为模式搜索,在控制系统应用中非常罕见。最后,给出了数值例子,说明了所提方法的有效性,以及闭环的收敛性和稳定性。

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