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Multiple integral inequality and its applications to decentralised control of large-scale systems with time-varying delays and unknown saturated inputs

机译:多重积分不等式及其在时变时滞和未知饱和输入的大规模系统的分散控制中的应用

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摘要

As the main objective of this study, a new multiple integral inequality is proposed. By combining this multiple integral inequality with adaptive approach, some simple design methods can be developed to synthesise the decentralised adaptive robust control schemes for a rather large class of uncertain large-scale interconnected systems. As an application of the proposed multiple integral inequality to decentralised control theory, the problem of decentralised robust stabilisation is also considered for a class of uncertain large-scale interconnected systems with both time-varying delays and saturated input non-linearities. It is shown that this multiple integral inequality can well deal with the interconnection terms of large-scale systems. In particular, based on the proposed multiple integral inequality, the time-varying delays can be assumed to be any continuous and bounded non-negative functions in time which are not required that their derivatives have to be less than one, and it is also not required for any information on the saturated input non-linearities to be known. A numerical example and the corresponding simulations are also given to illustrate the validity of the theoretical results.
机译:作为本研究的主要目标,提出了一个新的多重积分不等式。通过将多个积分不等式与自适应方法相结合,可以开发出一些简单的设计方法,以针对相当大的一类不确定的大规模互联系统综合分散的自适应鲁棒控制方案。作为拟议的多重积分不等式在分散控制理论上的应用,对于一类具有时变时滞和饱和输入非线性的不确定大型互联系统,也考虑了分散鲁棒镇定问题。结果表明,这个多重积分不等式可以很好地解决大规模系统的互连问题。特别地,基于所提出的多个积分不等式,可以将时变延迟假定为时间上的任何连续且有界的非负函数,不需要它们的导数必须小于一个,并且也不是已知关于饱和输入非线性的任何信息所必需的。数值算例和相应的仿真也说明了理论结果的正确性。

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