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Strict feedforward control systems, linearisability, and convergent normal forms

机译:严格的前馈控制系统,线性度和收敛范式

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This article discusses the feedback equivalence of multi-inputs feedforward control systems via smooth (resp. analytic) feedback transformations. We first address the state (resp. feedback) linearisation problem, and provide easily computable algorithms that yield explicit state (resp. feedback) linearising coordinates for systems in strict feedforward form. The application of the algorithms does not require checking the commutativity (resp. involutivity) of the distributions associated with the system, and the algorithms fail after few steps if the system is not linearisable. In the latter case, the algorithms are extended to provide coordinate systems bringing the system into a normal form which is a smooth (resp. analytic) counterpart of Kang's formal normal form. Illustrative examples for both the linearisation and convergent normal form include the vertical take off and landing aircraft, the multi-vehicle wireless testbed among others.
机译:本文讨论了通过平滑(解析)反馈变换实现的多输入前馈控制系统的反馈等效性。我们首先解决状态(响应反馈)线性化问题,并提供易于计算的算法,以严格的前馈形式为系统产生明确的状态(响应反馈)线性化坐标。算法的应用不需要检查与系统相关联的分布的可交换性(分别是对合性),并且如果系统不可线性化,则算法将在几步后失败。在后一种情况下,算法被扩展为提供坐标系,从而使系统进入正常形式,该形式与Kang形式正常形式的平滑(解析)相对应。线性化和收敛法线形式的说明性示例包括垂直起降飞机,多车无线测试平台等。

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