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On Adaptive Model Tracking with Mitigated Passivity Conditions

机译:具有减轻的被动条件的自适应模型跟踪

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Feasibility of nonlinear and adaptive control methodologies in multivariable lineartime-invariant systems with state space realization {A;B;C} has apparently beenlimited by the standard strict passivity (or positive realness) conditions that implythat the product CB must be positive definite symmetric. More recently the symmetrycondition has been mitigated, requiring instead that the not necessarily symmetricmatrix CB be diagonalizable and with positive real eigenvalues. The mitigated conditionswere useful in proving pure stabilizability with Adaptive Controllers. However,the Model Tracking question has remained open and some counterexamples seemedto demonstrate divergence of standard model reference adaptive controllers when theregular passivity conditions are not fully satisfied. Therefore, this paper further extendsthe previous results, showing that the new passivity conditions do guaranteestability with adaptive model tracking. Examples show how the new conditions solvethe case of flexible structures with unknown parameters when perfect collocation isnot possible. Also, the so called counterexample become simple, well-behaved, examples.
机译:非线性和自适应控制方法在多变量线性中的可行性 具有状态空间实现{A; B; C}的时不变系统显然已经 受标准的严格被动性(或肯定现实)条件限制,这意味着 乘积CB必须是正定对称的。最近对称 情况已得到缓解,取而代之的是要求不一定对称 矩阵CB是可对角线化的,并且具有正的实际特征值。缓解条件 在证明自适应控制器的纯粹稳定性方面很有用。然而, “模型跟踪”问题仍然悬而未决,似乎出现了一些反例 证明标准模型参考自适应控制器的差异 常规的被动条件不能完全满足。因此,本文进一步扩展 先前的结果表明新的钝化条件确实可以保证 自适应模型跟踪的稳定性。示例显示新条件如何解决 当完美搭配是具有未知参数的柔性结构时 不可能。同样,所谓的反例也变得简单,行为良好。

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