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Robust Adaptive Control of Polynomial Lower-Triangular Systems with Dynamic Uncertainties

机译:具有动态不确定性的多项式下三角系统的鲁棒自适应控制

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This paper investigates the problem of robust adaptive control for a class of nonlinear systems, called polynomial lower-triangular form (pLTF), which not only expands LTF to a more general case, but also consists of three types of uncertainties: parametric uncertainties, uncertain nonlinearities and dynamic uncertainties. The proposed design approach joins the tool of power integrator with small-gain techniques. Firstly, via the recursive design, an adaptive controller is formulated to render the systems robust with respect to static uncertainties. Secondly, by the Small-Gain Theorem, we show under the condition the adaptive controller guarantees the robustness property of the systems in the presence of dynamic uncertainties. Finally, an example is provided to illustrate the validity of the design.
机译:本文调查了一类非线性系统的鲁棒自适应控制问题,称为多项式下三角形(PLTF),这不仅将LTF扩展到更普通的情况,而且包括三种类型的不确定性:参数不确定性,不确定非线性和动态不确定性。所提出的设计方法与小增益技术加入电力集成器的工具。首先,通过递归设计,配制自适应控制器以使系统相对于静态不确定性的稳健。其次,通过小增益定理,我们在适应控制器的情况下显示在存在动态不确定性的情况下保证系统的鲁棒性特性。最后,提供了一个例子来说明设计的有效性。

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