Phase Limitations of Multipliers for Nonlinearities With Monotone Bounds

We consider Lurye systems, whose nonlinear operator is characterized by a nonlinearity that is bounded above and below by monotone functions. Absolute stability can be established using a subclass of the O'Shea–Zames–Falb multipliers. We develop phase conditions for both continuous-time and discrete-time systems under which there can be no such suitable multiplier for the transfer function of a given plant. In discrete time the condition can be tested via a linear program, while in continuous time it can be tested efficiently by exploiting convex structure. Results provide useful insight into the dynamic behavior of such systems and we illustrate the phase limitations with examples from the literature.

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Journal
IEEE Transactions on Automatic Control
Published
2024-10-16
DOI
https://doi.org/10.1109/tac.2024.3482109
Primary Topic
Differential Equations and Numerical Methods
Type
article
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article

Phase Limitations of Multipliers for Nonlinearities With Monotone Bounds

Joaquín Carrasco, William P. Heath
IEEE Transactions on Automatic Control
Differential Equations and Numerical Methods
article

Phase Limitations of Multipliers for Nonlinearities With Monotone Bounds

Joaquín Carrasco, William P. Heath
article en

Abstract

We consider Lurye systems, whose nonlinear operator is characterized by a nonlinearity that is bounded above and below by monotone functions. Absolute stability can be established using a subclass of the O'Shea–Zames–Falb multipliers. We develop phase conditions for both continuous-time and discrete-time systems under which there can be no such suitable multiplier for the transfer function of a given plant. In discrete time the condition can be tested via a linear program, while in continuous time it can be tested efficiently by exploiting convex structure. Results provide useful insight into the dynamic behavior of such systems and we illustrate the phase limitations with examples from the literature.

IEEE Transactions on Automatic ControlVol. 70(3)
Bangor University (GB), University of Manchester (GB), Robotics Research (United States) (US)
Openalex Percentile: Top 72%
Differential Equations and Numerical Methods
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