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Robustness analysis of a paradigm for non-linear robot controllers based on soft computing techniques

机译:基于软计算技术的非线性机器人控制器范例的鲁棒性分析

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Exact mathematical modelling and identification-based control of coupled non-linear MIMO systems still remained complicated and clumsy. VLSI technology also makes it possible to realize robust control based on "soft computing techniques" requiring only rough models but resulting in limited control quality with noisy fluctuations. The motion of quite simple mechanical systems as rigid bodies also may show chaotic behavior. Numerical techniques as finite-element methods in realization may act as an additional source of chaotic fluctuations. In this paper the relation between approximate modelling, robustness and chaotic nature of the controlled system is investigated via simulation. On this basis certain general rules are concluded regarding the operation of such controllers.
机译:耦合非线性MIMO系统的确切数学建模和基于识别控制仍然保持复杂和笨拙。 VLSI技术还可以基于仅需要粗糙的模型的“软计算技术”实现鲁棒控制,但导致具有嘈杂波动的有限控制质量。作为刚体的相当简单的机械系统的运动也可以显示混沌行为。作为实现的有限元方法的数值技术可以充当混沌波动的额外源。本文通过模拟研究了受控系统的近似建模,鲁棒性和混沌性质之间的关系。在此基础上,某些一般规则是关于该控件的运作的缔结。

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