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首页> 外文期刊>Chaos, Solitons and Fractals: Applications in Science and Engineering: An Interdisciplinary Journal of Nonlinear Science >Decentralized model-reference adaptive control for a class of uncertain large-scale time-varying delayed systems with series nonlinearities
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Decentralized model-reference adaptive control for a class of uncertain large-scale time-varying delayed systems with series nonlinearities

机译:一类具有系列非线性的不确定时滞大系统的分散模型参考自适应控制

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摘要

In this paper, the problem of model-reference adaptive control for large-scale time-varying delayed systems with series nonlinearities is investigated. By applying the theory of variable structure control, we propose an adaptive controller, which is both memoryless and decentralized, to derive the error subsystem between the local model state and plant state to zero. The proposed variable structure control is able to ensure the stability of a sliding manifold of the composite system even though the control input is nonlinear. The main difficulty for handling the effects of interconnected terms is well solved by a new proposed adaptation mechanism. Finally, a numerical example is illustrated to demonstrate the validity of the derived controller.
机译:本文研究了具有系列非线性的时变时滞大系统的模型参考自适应控制问题。通过应用变结构控制理论,我们提出了一种无记忆和分散式自适应控制器,将局部模型状态和工厂状态之间的误差子系统推导出零。即使控制输入是非线性的,所提出的可变结构控制也能够确保复合系统的滑动歧管的稳定性。通过提出一种新的适应机制,可以很好地解决处理互连术语影响的主要困难。最后,通过数值例子说明了导出控制器的有效性。

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