Abstract
Issues concerning locality and robustness for persistently excited nonlinear systems can be addressed on the basis of a recently presented strict quadratic Lyapunov function. Such Lyapunov function is characterized by a “stable” linear time-invariant matrix differential equation, whose solution, at runtime, is available from direct integration of measured quantities. Several applications (even including experiments) are here presented to illustrate the benefits of such a new technical tool.
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Notes
- 1.
In the aforementioned operating conditions, according to [30] we have \(\phi _{ra} = M i_{sa}+c \phi _{rb}\), \(\phi _{rb} = M i_{sb}-c \phi _{ra}\), in terms of \(c = {T_{L}L_{r}}/({\phi _{ra}^{2}+\phi _{rb}^{2})}\).
- 2.
Take for instance the scalar signal
$$\begin{aligned} y(t)= & {} \theta _{1} \sin \left( \theta _{2}\cos (t)\right) \end{aligned}$$depending on two positive parameters \(\theta _{1}\) and \(\theta _{2}\).
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Verrelli, C.M., Tomei, P., Pirozzi, S., Fabiani, S. (2022). Analysis of Persistently Excited Nonlinear Systems with Applications. In: Zattoni, E., Simani, S., Conte, G. (eds) 15th European Workshop on Advanced Control and Diagnosis (ACD 2019). ACD 2019 2018. Lecture Notes in Control and Information Sciences - Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-030-85318-1_8
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