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Measures and LMIs for Adaptive Control Validation
arXiv - CS - Systems and Control Pub Date : 2020-05-19 , DOI: arxiv-2005.09313 Daniel Wagner, Didier Henrion (LAAS-MAC), Martin Hrom{\v{c}}\'ik
arXiv - CS - Systems and Control Pub Date : 2020-05-19 , DOI: arxiv-2005.09313 Daniel Wagner, Didier Henrion (LAAS-MAC), Martin Hrom{\v{c}}\'ik
Occupation measures and linear matrix inequality (LMI) relax-ations (called
the moment sums of squares or Lasserre hierarchy) have been used previously as
a means for solving control law verification and validation (VV) problems.
However, these methods have been restricted to relatively simple control laws
and a limited number of states. In this document, we extend these methods to
model reference adaptive control (MRAC) configurations typical of the aircraft
industry. The main contribution is a validation scheme that exploits the
specific nonlinearities and structure of MRAC. A nonlinear F-16 plant is used
for illustration. LMI relaxations solved by off-the-shelf-software are compared
to traditional Monte-Carlo simulations.
中文翻译:
自适应控制验证的措施和 LMI
占用度量和线性矩阵不等式 (LMI) 松弛(称为平方矩和或 Lasserre 层次结构)以前已被用作解决控制律验证和验证 (VV) 问题的方法。然而,这些方法仅限于相对简单的控制律和有限数量的状态。在本文档中,我们将这些方法扩展到模拟航空工业典型的参考自适应控制 (MRAC) 配置。主要贡献是利用 MRAC 的特定非线性和结构的验证方案。非线性 F-16 设备用于说明。通过现成软件解决的 LMI 松弛与传统的蒙特卡罗模拟进行了比较。
更新日期:2020-05-20
中文翻译:
自适应控制验证的措施和 LMI
占用度量和线性矩阵不等式 (LMI) 松弛(称为平方矩和或 Lasserre 层次结构)以前已被用作解决控制律验证和验证 (VV) 问题的方法。然而,这些方法仅限于相对简单的控制律和有限数量的状态。在本文档中,我们将这些方法扩展到模拟航空工业典型的参考自适应控制 (MRAC) 配置。主要贡献是利用 MRAC 的特定非线性和结构的验证方案。非线性 F-16 设备用于说明。通过现成软件解决的 LMI 松弛与传统的蒙特卡罗模拟进行了比较。