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Mixed H_2/H_∞ Output-feedback Simple Adaptive Control

机译:混合H_2 /H_∞输出反馈简单自适应控制

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A mixed H_2 and H_∞ output-feedback Simple Adaptive Control (SAC)rnproblem for continuous-time systems is considered. The stability ofrnclosed-loop SAC is related to the Almost Strictly Positive Real (ASPR)rnproperty of the controlled plant: if a plant is ASPR, there exists a staticrnoutput-feedback gain K* (parameter-dependent, possibly) which stabi-rnlizes the plant and makes it Strictly Positive Real (SPR). The SPR prop-rnerty also provides an infnite gain margin: the system remains asymp-rntotically stable with any gain that is larger than K*. This paper sug-rngests a new SAC scheme for Single-Input Single-Output (SISO) systems,rnwhich further specifies the adaptive gain in order to guarantee not onlyrnpassivity and stability of the closed-loop but also prescribed H_2/H_∞ -rnnorm bounds. Sufficient conditions to mixed H_2=H_∞ SAC synthesis arernpresented; they are expressed in terms of Bilinear Matrix Inequalitiesrn(BMIs), which can be solved using local iterations. Numerical examplesrnare given that illustrate the method and its validity.
机译:考虑了连续时间系统的混合H_2和H_∞输出反馈简单自适应控制(SAC)rn问题。闭环SAC的稳定性与受控工厂的几乎严格的正实数(ASPR)属性有关:如果工厂是ASPR,则存在静态的输出反馈增益K *(可能与参数有关),它稳定了并使其严格正实数(SPR)。 SPR属性还提供了无限的增益余量:系统在任何大于K *的增益下都可以保持渐近稳定。本文提出了一种用于单输入单输出(SISO)系统的新SAC方案,该方案进一步指定了自适应增益,以不仅保证闭环的无源性和稳定性,而且还规定了H_2 /H_∞-rnnorm界限。给出了混合H_2 =H_∞SAC合成的充分条件;它们用双线性矩阵不等式(BMI)表示,可以使用局部迭代求解。数值例子说明了该方法及其有效性。

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